Yes, definitely Yes, probably No, probably not No, definitely not Can't choose No answer |
| 503 | HEAVEN | Do you believe in. . . Heaven | 1 2 3 4 8 9 |
Yes, definitely Yes, probably No, probably not No, definitely not Can't choose No answer |
| 504 | HELL | Do you believe in. . . Hell | 1 2 3 4 8 9 |
Yes, definitely Yes, probably No, probably not No, definitely not Can't choose No answer |
| 505 | MIRACLES | Do you believe in. . . Religious miracles | 1 2 3 4 8 9 |
Yes, definitely Yes, probably No, probably not No, definitely not Can't choose No answer |
| 506 | BIBLE1 | Which of these statements comes closest
to describing your feelings about the Bible: |
1 2 3 4 8 9 |
The Bible is the actual word of God and it is to be
taken literally, word for word The Bible is the inspired word of God but not everything should be taken literally, word for word The Bible is an ancient book of fables, legends, history, and moral precepts recorded by man This does not apply to me Can't choose No answer |
| 507 | THEISM | Do you agree or disagree with the following. . . A. There is a God who concerns Himself with every human being personally. |
1 2 3 4 5 8 9 |
Strongly agree Agree Neither agree nor disagree Disagree Strongly disagree Can't choose No answer |
| 508 | FATALISM | Do you agree or disagree with the following. .
. B. There is little that people can do to change the course of their lives. |
1 2 3 4 5 8 9 |
Strongly agree Agree Neither agree nor disagree Disagree Strongly disagree Can't choose No answer |
| 509 | GODMEANS | Do you agree or disagree with the following. . . C. To me, life is meaningful only because God exists. |
1 2 3 4 5 8 9 |
Strongly agree Agree Neither agree nor disagree Disagree Strongly disagree Can't choose No answer |
| 510 | NIHILISM | Do you agree or disagree with the following. .
. D. In my opinion, life does not serve any purpose. |
1 2 3 4 5 8 9 |
Strongly agree Agree Neither agree nor disagree Disagree Strongly disagree Can't choose No answer |
| 511 | PREDETER | Do you agree or disagree with the following. . . E. The course of our lives is decided by God. |
1 2 3 4 5 8 9 |
Strongly agree Agree Neither agree nor disagree Disagree Strongly disagree Can't choose No answer |
| 512 | EGOMEANS | Do you agree or disagree with the following. .
. F. Life is only meaningful if you provide the meaning yourself. |
1 2 3 4 5 8 9 |
Strongly agree Agree Neither agree nor disagree Disagree Strongly disagree Can't choose No answer |
| 513 | OWNFATE | Do you agree or disagree with the following. . . G. We each make our own fate. |
1 2 3 4 5 8 9 |
Strongly agree Agree Neither agree nor disagree Disagree Strongly disagree Can't choose No answer |
| 514 | RELEXPER | Has there ever been a turning point in your
life when you made a new and personal commitment to religion? |
1 2 8 9 |
Yes No Don't know No answer |
| 515 | MARELKID | What was your mother's religious preference when you were a child? Was it Protestant, Catholic, Jewish, some other religion, or no religion? |
1 2 3 4 5 6 7 8 9 |
Protestant Catholic Jewish Orthodox Muslim Other No religion Don't know No answer |
| 516 | MADENKID | If [mother] Protestant, what specific
denomination was that? (See Note 3: Other Specify for Religious Affiliation on the ARDA file summary page) |
10000 14000 15000 18000 20000 21000 22000 23000 28000 30000 32000 33000 34000 38000 41000 <...> |
10000 14000 15000 18000 20000 21000 22000 23000 28000 30000 32000 33000 34000 38000 41000 <... truncated> |
| 517 | PARELKID | What was your father's religious preference when you were child? Was it Protestant, Catholic, Jewish, some other religion, or no religion? |
1 2 3 4 5 6 7 8 9 |
Protestant Catholic Jewish Orthodox Muslim Other No religion Don't know No answer |
| 518 | PADENKID | If [father] Protestant, what specific
denomination was that? (See Note 3: Other Specify for Religious Affiliation on the ARDA file summary page) |
10000 14000 15000 18000 20000 22000 23000 28000 30000 32000 33000 34000 38000 41000 42000 <...> |
10000 14000 15000 18000 20000 22000 23000 28000 30000 32000 33000 34000 38000 41000 42000 <... truncated> |
| 519 | RELIGKID | What religion, if any, were you raised in? Was
it Protestant, Catholic, Jewish, some other religion, or no religion? |
1 2 3 4 5 6 7 8 9 |
Protestant Catholic Jewish Orthodox Muslim Other No religion Don't know No answer |
| 520 | DENKID | If [raised] Protestant, what specific
denomination was that? (See Note 3: Other Specify for Religious Affiliation on the ARDA file summary page) |
10000 11000 12000 14000 15000 18000 20000 21000 22000 23000 28000 30000 31000 32000 33000 <...> |
10000 11000 12000 14000 15000 18000 20000 21000 22000 23000 28000 30000 31000 32000 33000 <... truncated> |
| 521 | RELIGSP | What is your husband's/wife's religious preference? Is it Protestant, Catholic, Jewish, some other religion, or no religion? |
1 2 3 4 5 6 7 8 9 |
Protestant Catholic Jewish Orthodox Muslim Other No religion Don't know No answer |
| 522 | DENSP | If [spouse] Protestant, what specific
denomination was that? (See Note 3: Other Specify for Religious Affiliation on the ARDA file summary page) |
10000 11000 12000 14000 15000 18000 20000 22000 28000 30000 31000 32000 35000 38000 40000 <...> |
10000 11000 12000 14000 15000 18000 20000 22000 28000 30000 31000 32000 35000 38000 40000 <... truncated> |
| 523 | ATTENDMA | When you were a child, how often did your
mother attend religious services? |
1 2 3 4 5 6 7 8 9 10 98 99 |
Never Less than once a year About once or twice a year Several times a year About once a month 2-3 times a month Nearly every week Every week Several times a week No mother/mother not present Can't say/can't remember No answer |
| 524 | ATTENDPA | When you were a child, how often did your
father attend religious services? |
1 2 3 4 5 6 7 8 9 10 98 99 |
Never Less than once a year About once or twice a year Several times a year About once a month 2-3 times a month Nearly every week Every week Several times a week No father/father not present Can't say/can't remember No answer |
| 525 | ATTEND12 | What about when you were around 11 or 12, how often did you attend religious services then? |
1 2 3 4 5 6 7 8 9 98 99 |
Never Less than once a year About once or twice a year Several times a year About once a month 2-3 times a month Nearly every week Every week Several times a week Can't say/can't remember No answer |
| 526 | PRAYFREQ | Now thinking of the present, about how often
do you pray? |
1 2 3 4 5 6 7 8 9 10 11 98 99 |
Never Less than once a year About once or twice a year Several times a year About once a month 2-3 times a month Nearly every week Every week Several times a week Once a day Several times a day Can't say/can't remember No answer |
| 527 | RELACTIV | How often do you take part in the activities
and organizations of a church or place of worship other than attending services? |
1 2 3 4 5 6 7 8 9 99 |
Never Less than once a year About once or twice a year Several times a year About once a month 2-3 times a month Nearly every week Every week Several times a week No answer |
| 528 | FEELREL | Would you describe yourself as... | 1 2 3 4 5 6 7 8 9 |
Extremely religious Very religious Somewhat religious Neither religious nor non-religious Somewhat non-religious Very non-religious Extremely non-religious Can't choose No answer |
| 529 | SCHLPRAY | In your opinion, should there be daily prayers in all public schools? |
1 2 3 4 8 9 |
Yes, definitely Yes, probably No, probably No, definitely Can't choose No answer |
| 530 | GODRIGHT | Do you agree or disagree with the
following statements. . . A. Right and wrong should be based on God's laws. |
1 2 3 4 5 8 9 |
Strongly agree Agree Neither agree nor disagree Disagree Strongly disagree Can't choose No answer |
| 531 | SOCRIGHT | Do you agree or disagree with the
following statements. . . B. Right and wrong should be decided by society. |
1 2 3 4 5 8 9 |
Strongly agree Agree Neither agree nor disagree Disagree Strongly disagree Can't choose No answer |
| 532 | PERRIGHT | Do you agree or disagree with the
following statements. . . C. Right and wrong should be a matter of personal conscience. |
1 2 3 4 5 8 9 |
Strongly agree Agree Neither agree nor disagree Disagree Strongly disagree Can't choose No answer |
| 533 | ANTIREL | Some books or films offend people who have
strong religious beliefs. Should books and films that attack religions be prohibited by law or should they be allowed? |
1 2 3 4 8 9 |
Definitely should be prohibited Probably should be prohibited Probably should be allowed Definitely should be allowed Can't choose No answer |
| 534 | AIDSKNOW | How many people have you known personally,
either living or dead, who came down with the disease called AIDS? |
0 1 2 3 4 5 6 8 9 |
0 1 2 3 4 5 6 8 or more No answer |
| 535 | AIDSWHO | Think about the person you have known best, living or dead, who came down with AIDS: Please tell me the letter of the category on the card which best describes your relationship to that person. |
1 2 4 5 6 7 8 9 10 99 |
Husband/wife Partner or lover Other relative Friend Neighbor Co-worker Acquaintance Patient Other No answer |
| 536 | AIDSDEAD | Think about the person you have known best,
living or dead, who came down with AIDS: A. Is that person currently living, or has that person died? |
1 2 8 9 |
Living Dead Don't know No answer |
| 537 | AIDSSEX | Think about the person you have known best, living or dead, who came down with AIDS: B. (Is/Was) that person male or female? |
1 2 9 |
Male Female No answer |
| 538 | AIDSAGE | Think about the person you have known best,
living or dead, who came down with AIDS: C. How old (is/was) that person? (Is/Was) (he/she) . . . |
1 2 3 4 9 |
10 years or younger 11-20 21-40 41 years or older No answer |
| 539 | AIDSRACE | Think about the person you have known best, living or dead, who came down with AIDS: D. What (is/was) that person's race? (Is/Was) it black, white, hispanic or other? |
1 2 3 4 9 |
Black White Hispanic Other No answer |
| 540 | AIDSREG | Think about the person you have known best,
living or dead, who came down with AIDS: E. What state did this person live in? |
0 1 2 3 4 5 6 7 8 9 99 |
Foreign New England Middle Atlantic East North Central West North Central South Atlantic East South Central West South Central Mountain Pacific No answer |
| 541 | AIDSWHO2 | Think about the person you have known next
best, living or dead, who came down with AIDS. Please tell me the letter of the category on the card which best describes your relationship to that person. |
2 3 4 5 6 7 8 9 10 99 |
Partner or lover Son or daughter Other relative Friend Neighbor Co-worker Acquaintance Patient Other No answer |
| 542 | AIDSDED2 | Think about the person you have known next
best, living or dead, who came down with AIDS: Is that person currently living, or has that person died? |
1 2 8 9 |
Living Dead Don't know No answer |
| 543 | AIDSSEX2 | Think about the person you have known next
best, living or dead, who came down with AIDS: (Is/Was) that person male or female? |
1 2 9 |
Male Female No answer |
| 544 | AIDSAGE2 | Think about the person you have known next
best, living or dead, who came down with AIDS: How old (is/was) that person? (Is/Was) (he/she)... |
1 2 3 4 9 |
10 years or younger 11-20 21-40 41 years or older No answer |
| 545 | AIDSRAC2 | Think about the person you have known next
best, living or dead, who came down with AIDS: What (is/was) that person's race? (Is/Was) it Black, White, Hispanic, or other? |
1 2 3 4 9 |
Black White Hispanic Other No answer |
| 546 | AIDSREG2 | Think about the person you have known next
best, living or dead, who came down with AIDS: What State did this person live in? |
1 2 3 4 5 6 7 8 9 99 |
New England Middle Atlantic East North Central West North Central South Atlantic East South Central West South Central Mountain Pacific No answer |
| 547 | AIDSWHO3 | Think about the person you have known next
best [third closest], living or dead, who came down with AIDS. Please tell me the letter of the category on the card which best describes your relationship to that person. |
3 5 6 7 8 9 10 99 |
Son or
daughter Friend Neighbor Co-worker Acquaintance Patient Other No answer |
| 548 | AIDSDED3 | Think about the person you have known next
best [third closest], living or dead, who came down with AIDS: Is that person currently living, or has that person died? |
1 2 8 9 |
Living Dead Don't know No answer |
| 549 | AIDSSEX3 | Think about the person you have known next
best [third closest], living or dead, who came down with AIDS: (Is/Was) that person male or female? |
1 2 9 |
Male Female No answer |
| 550 | AIDSAGE3 | Think about the person you have known next
best [third closest], living or dead, who came down with AIDS: How old (is/was) that person? (Is/Was) (he/she)... |
1 2 3 4 9 |
10 years or younger 11-20 21-40 41 years or older No answer |
| 551 | AIDSRAC3 | Think about the person you have known next
best [third closest], living or dead, who came down with AIDS: What (is/was) that person's race? (Is/Was) it Black, White, Hispanic or other? |
1 2 3 9 |
Black White Hispanic No answer |
| 552 | AIDSREG3 | Think about the person you have known next
best [third closest], living or dead, who came down with AIDS: What State did this person live in? |
1 2 3 4 5 7 8 9 99 |
New England Middle Atlantic East North Central West North Central South Atlantic West South Central Mountain Pacific No answer |
| 553 | SUIKNEW | Within the past 12 months, how many people have you known personally that have committed suicide? |
0 1 2 3 4 9 |
0 1 2 3 4 Don't know, no answer |
| 554 | SUIWHO | Think about the person you knew best that
has committed suicide. Please tell me the letter of the category on the card which best describes your relationship to that person. |
2 4 5 6 7 8 9 10 99 |
Partner or lover Other relative Friend Neighbor Co-worker Acquaintance Patient Other No answer |
| 555 | SUISEX | Think about the person you knew best that
has committed suicide. We would like to know a few other things about that person: Was that person male or female? |
1 2 9 |
Male Female Don't know, no answer |
| 556 | SUIAGE | Think about the person you knew best that
has committed suicide. We would like to know a few other things about that person: Was (he/she)... |
2 3 4 9 |
11-20 years 21-40 years 41 years or older Don't know, no answer |
| 557 | SUIRACE | Think about the person you knew best that
has committed suicide. We would like to know a few other things about that person: What was that person's race? Was it Black, White, Hispanic, or other? |
1 2 3 4 9 |
Black White Hispanic Other Don't know, no answer |
| 558 | SUIREG | Think about the person you knew best that
has committed suicide. We would like to know a few other things about that person: What state did this person live in? |
0 1 2 3 4 5 6 7 8 9 99 |
Foreign New England Middle Atlantic East North Central West North Central South Atlantic East South Central West South Central Mountain Pacific No answer |
| 559 | SUIWHO2 | Think about the person you have known next best, who has committed suicide. Please tell me the letter of the category on the card which best describes your relationship to that person. |
5 6 7 8 9 99 |
Friend Neighbor Co-worker Acquaintance Patient Don't know, no answer |
| 560 | SUISEX2 | Think about the person you have known next
best, who has committed suicide. We would like to know a few other things about that person: Was that person male or female? |
1 2 9 |
Male Female No answer |
| 561 | SUIAGE2 | Think about the person you have known next best, who has committed suicide. We would like to know a few other things about that person: How old was that person? Was (he/she)... |
2 3 4 9 |
11-20 years 21-40 years 41 years or over No answer |
| 562 | SUIRAC2 | Think about the person you have known next
best, who has committed suicide. We would like to know a few other things about that person: What was that person's race? Was it Black, White, Hispanic, or other? |
1 2 3 4 9 |
Black White Hispanic Other No answer |
| 563 | SUIREG2 | Think about the person you have known next best, who has committed suicide. We would like to know a few other things about that person: What state did this person live in? |
1 2 3 4 5 6 7 8 9 99 |
New England Middle Atlantic East North Central West North Central South Atlantic East South Central West South Central Mountain Pacific No answer |
| 564 | SUIWHO3 | Think about the person who you have known
next best, who has committed suicide. Please tell me the letter of the category on the card which best describes your relationship to that person. |
4 5 6 8 9 99 |
Other
relative Friend Neighbor Acquaintance Patient Don't know, no answer |
| 565 | SUISEX3 | Think about the person who you have known next best [third closest], who committed suicide. We would like to know a few other things about that person: Was this person male or female? |
1 2 9 |
Male Female Don't know, no answer |
| 566 | SUIAGE3 | Think about the person who you have known
next best [third closest], who committed suicide. We would like to know a few other things about that person: How old was that person? Was (he/she)... |
2 3 4 9 |
11-20 years 21-40 years 41 years or older Don't know, no answer |
| 567 | SUIRAC3 | Think about the person who you have known next best [third closest], who committed suicide. We would like to know a few other things about that person: What was that person's race? Was it Black, White, Hispanic, or other? |
2 3 9 |
White Hispanic Don't know, no answer |
| 568 | SUIREG3 | Think about the person who you have known
next best [third closest], who committed suicide. We would like to know a few other things about that person: What state did this person live in? |
1 2 3 5 6 7 8 9 99 |
New England Middle Atlantic East North Central South Atlantic East South Central West South Central Mountain Pacific No answer |
| 569 | PARTNERS | How many sex partners have you had in the last
12 months? |
0 1 2 3 4 5 6 7 8 99 |
No partners 1 partner 2 partners 3 partners 4 partners 5-10 partners 11-20 partners 21-100 partners 100+ partners No answer |
| 570 | MATESEX | Was one of the partners your husband or wife
or regular sexual partner? |
1 2 9 |
Yes No No answer |
| 571 | FRNDSEX | If you had other partners, please indicate
all categories that apply to them: Close personal friend |
1 2 9 |
Yes No No answer |
| 572 | ACQNTSEX | If you had other partners, please indicate
all categories that apply to them: Neighbor, Co-Worker, or long-term acquaintance |
1 2 9 |
Yes No No answer |
| 573 | PIKUPSEX | If you had other partners, please indicate
all categories that apply to them: Casual date or pick-up |
1 2 9 |
Yes No No answer |
| 574 | PAIDSEX | If you had other partners, please indicate
all categories that apply to them: Person you paid for sex |
1 2 9 |
Yes No No answer |
| 575 | OTHERSEX | If you had other partners, please indicate
all categories that apply to them: Other |
1 2 9 |
Yes No No answer |
| 576 | SEXSEX | Have your sex partners in the last 12 months
been exclusively male, both male and female, exclusively female. |
1 2 3 9 |
Exclusively male Both male and female Exclusively female No answer |
| 577 | SEXFREQ | About how often did you have sex during the last 12 months? |
0 1 2 3 4 5 6 8 9 |
Not at all Once or twice About once a month 2 or 3 times a month About once a week 2 or 3 times a week More than 3 times a week Don't know No answer |
| 578 | NUMWOMEN | Now thinking about the time since your
18th birthday (including the past 12 months) how many female partners have you had sex with? |
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 <...> |
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 <... truncated> |
| 579 | NUMMEN | Now thinking about the time since your 18th birthday (including the past 12 months) how many male partners have you had sex with? |
0 1 2 3 4 5 6 7 8 9 10 11 12 13 15 <...> |
0 1 2 3 4 5 6 7 8 9 10 11 12 13 15 <... truncated> |
| 580 | PARTOPEN | How many sex partners have you had in the last
12 months? |
0 1 2 3 4 5 6 7 8 14 990 999 |
0 1 2 3 4 5 6 7 8 14 Dash or slash No answer |
| 581 | PARTOPN5 | Now, think about the past five years--the time since February/March 1986, and including the past 12 months, how many sex partners have you had in that five year period? |
0 1 2 3 4 5 6 7 8 10 12 14 15 19 20 <...> |
0 1 2 3 4 5 6 7 8 10 12 14 15 19 20 <... truncated> |
| 582 | PARTNRS5 | Now think about the past five years-- the
time since February/March 1986, and including the past 12 months, how many sex partners have you had in that five year period? |
0 1 2 3 4 5 6 7 8 9 99 |
No partners 1 partner 2 partners 3 partners 4 partners 5-10 partners 11-20 partners 21-100 partners More than 100 partners 1 + partners No answer |
| 583 | SEXSEX5 | Have your sex partners in the last five
years been... |
1 2 3 9 |
Exclusively male Both male and female Exclusively female No answer |
| 584 | EVPAIDSX | Thinking about the time since your 18th
birthday, have you ever had sex with a person you paid or who paid you for sex? |
1 2 9 |
Yes No No answer |
| 585 | EVSTRAY | Have you ever had sex with someone other than
your husband or wife while you were married? |
1 2 3 9 |
Yes No Never married No answer |
| 586 | PROB1 | What are the most important problems that you
and members of your household have had during the last 12 months? First problem mentioned. |
1 2 4 7 10 11 20 21 23 24 25 26 27 28 30 <...> |
Illness, health problems Illness in a relative Birth control Drinking Death of a family member Death of a friend Unemployed Spouse unemployed Lost job Too little work Too much work Work related New job Problems with one's business Finances <... truncated> |
| 587 | PROB2 | Second problem mentioned | 1 2 10 15 16 20 21 22 23 24 26 28 30 31 40 <...> |
Illness, health problems Illness in a relative Death of a family member Aging Unable to do things Unemployed Spouse unemployed Unable to work Lost job Too little work Work related Problems with one's business Finances Debt Car expenses <... truncated> |
| 588 | PROB3 | Third problem mentioned | 1 2 20 21 22 26 30 43 55 72 73 84 101 103 150 <...> |
Illness, health problems Illness in a relative Unemployed Spouse unemployed Unable to work Work related Finances Medical expenses Other financial problems New baby Children Child custody Finding boy/girlfriend Boy/girlfriend Crime in Neighborhood/Work <... truncated> |
| 589 | PROB4 | Fourth problem mentioned | 1 2 16 20 30 70 73 166 172 175 201 |
Illness, health problems Illness in a relative Unable to do things Unemployed Finances Family Children Bothered by police Natural disaster Home repairs Children's schooling |
| 590 | HLTH1 | Now, I'm going to ask you about various events
and conditions that happen to people. I'm interested in those that happened to you during the last 12 months, that is since February/March, 1990. As I ask you about the specific events, please think carefully, |
1 2 9 |
Yes No No answer |
| 591 | HLTH2 | A. First, thinking about health related matters, did any of the following happen to you since February/March, 1990: Underwent counseling for mental or emotional problems? |
1 2 9 |
Yes No No answer |
| 592 | HLTH3 | A. First, thinking about health related
matters, did any of the following happen to you since February/March, 1990: Infertility or unable to have a baby? |
1 2 9 |
Yes No No answer |
| 593 | HLTH | A. First, thinking about health related matters, did any of the following happen to you since February/March, 1990: Had a drinking problem (e.g. frequently drunk, suffered from alcoholism)? |
1 2 9 |
Yes No No answer |
| 594 | HLTH5 | A. First, thinking about health related
matters, did any of the following happen to you since February/March, 1990: Used illegal drugs (e.g. marijuana, cocaine, pills)? |
1 2 9 |
Yes No No answer |
| 595 | HLTH6 | A. First, thinking about health related matters, did any of the following happen to you since February/March, 1990: Your (Husband/wife)/partner was a patient in a hospital, sanatorium, convalescent or nursing home (apart from have a baby)? |
1 2 8 9 |
Yes No Don't know No answer |
| 596 | HLTH7 | A. First, thinking about health related
matters, did any of the following happen to you since February/March, 1990: A child of yours was a patient in a hospital, sanatorium, convalescent or nursing home (apart from having a baby)? |
1 2 9 |
Yes No No answer |
| 597 | HLTH8 | A. First, thinking about health related matters, did any of the following happen to you since February/March, 1990: Child on drugs or had drinking problem? |
1 2 9 |
Yes No No answer |
| 598 | HLTH9 | A. First, thinking about health related
matters, did any of the following happen to you since February/March, 1990: A death of a close friend? |
1 2 9 |
Yes No No answer |
| 599 | WORK1 | Second, what about work-related matters? Did any of the following happen to you since February/March, 1990: Fired or permanently laid-off? |
1 2 9 |
Yes No No answer |
| 600 | WORK2 | Second, what about work-related matters? Did
any of the following happen to you since February/March, 1990: Demoted or switched to a less favorable position? |
1 2 9 |
Yes No No answer |
| 601 | WORK3 | Second, what about work-related matters? Did any of the following happen to you since February/March, 1990: A cut in pay (including reduced hours)? |
1 2 9 |
Yes No No answer |
| 602 | WORK4 | Second, what about work-related matters? Did
any of the following happen to you since February/March, 1990: Passed over for promotion? |
1 2 9 |
Yes No No answer |
| 603 | WORK5 | Second, what about work-related matters? Did any of the following happen to you since February/March, 1990: Serious trouble with your boss? |
1 2 9 |
Yes No No answer |
| 604 | WORK6 | Second, what about work-related matters? Did
any of the following happen to you since February/March, 1990: Your own business (farm or professional office) lost money or failed? |
1 2 9 |
Yes No No answer |
| 605 | WORK7 | Second, what about work-related matters? Did any of the following happen to you since February/March, 1990: Your (husband/wife)/partner was fired or permanently laid-off? |
1 2 8 9 |
Yes No Don't know No answer |
| 606 | WORK8 | Second, what about work-related matters? Did
any of the following happen to you since February/March, 1990: Your (husband/wife)/partner had a cut in pay (including reduced hours)? |
1 2 8 9 |
Yes No Don't know No answer |
| 607 | WORK9 | Second, what about work-related matters? Did any of the following happen to you since February/March, 1990: Your (husband/wife)/partner was unemployed and looking for work for a month or more? |
1 2 8 9 |
Yes No Don't know No answer |
| 608 | FINAN1 | Did any of the following financial matters
happen to you during the last year: Went bankrupt (declared personal bankruptcy)? |
1 2 9 |
Yes No No answer |
| 609 | FINAN2 | Did any of the following financial matters happen to you during the last year: Car, household appliances, or furniture repossessed? |
1 2 9 |
Yes No No answer |
| 610 | FINAN3 | Did any of the following financial matters
happen to you during the last year: Pawned or sold-off valuables to make ends meet? |
1 2 9 |
Yes No No answer |
| 611 | FINAN4 | Did any of the following financial matters happen to you during the last year: Pressured to pay bills by stores, creditors, or bill collectors? |
1 2 9 |
Yes No No answer |
| 612 | FINAN5 | Did any of the following financial matters
happen to you during the last year: Major worsening of your financial condition? |
1 2 9 |
Yes No No answer |
| 613 | HRDSHP1 | Now I am going to ask about specific hardships. Did any of the following occur to you since February/March, 1990: Fell behind in paying your rent or mortgage. |
1 2 9 |
Yes No No answer |
| 614 | HRDSHP2 | Now I am going to ask about specific
hardships. Did any of the following occur to you since February/March, 1990: Evicted from your apartment/house. |
1 2 9 |
Yes No No answer |
| 615 | HRDSHP3 | Now I am going to ask about specific hardships. Did any of the following occur to you since February/March, 1990: Had your utilities (water, heat, electricity) shut off. |
1 2 9 |
Yes No No answer |
| 616 | HRDSHP4 | Now I am going to ask about specific
hardships. Did any of the following occur to you since February/March, 1990: Unable to purchase needed food. |
1 2 9 |
Yes No No answer |
| 617 | HRDSHP5 | Now I am going to ask about specific hardships. Did any of the following occur to you since February/March, 1990: Unable to afford needed medical care. |
1 2 9 |
Yes No No answer |
| 618 | HRDSHP6 | Now I am going to ask about specific
hardships. Did any of the following occur to you since February/March, 1990: Lacked health insurance coverage (e.g. Medicare, Medicaid, Blue Cross, and HMO, etc.). |
1 2 9 |
Yes No No answer |
| 619 | HRDSHP7 | Now I am going to ask about specific hardships. Did any of the following occur to you since February/March, 1990: Had to temporarily live with others or in a shelter or "on the street"? |
1 2 9 |
Yes No No answer |
| 620 | FAMPER1 | What about family and personal
relationships? During the last year, did you...Have serious trouble with your (husband/wife)/partner? |
1 2 9 |
Yes No No answer |
| 621 | FAMPER2 | What about family and personal relationships? During the last year, did you...Separate from your (husband/wife)/partner? |
1 2 9 |
Yes No No answer |
| 622 | FAMPER3 | What about family and personal
relationships? During the last year, did you...Break up with a steady boyfriend/girlfriend or fiance(e)? |
1 2 9 |
Yes No No answer |
| 623 | FAMPER4 | What about family and personal relationships? During the last year, did you...Have serious trouble with a child? |
1 2 9 |
Yes No No answer |
| 624 | FAMPER5 | What about family and personal
relationships? During the last year, did you...Have serious trouble with a close friend? |
1 2 9 |
Yes No No answer |
| 625 | LAW1 | Next, did any of the following criminal or
legal events occur to you since February/March, 1990: A robbery (e.g. a mugging or stick-up)? |
1 2 9 |
Yes No No answer |
| 626 | LAW2 | Next, did any of the following criminal or
legal events occur to you since February/March, 1990: A personal assault (e.g. being beaten up, hit, or attacked with a weapon)? |
1 2 9 |
Yes No No answer |
| 627 | LAW3 | Next, did any of the following criminal or
legal events occur to you since February/March, 1990: Your home burglarized or broken into? |
1 2 9 |
Yes No No answer |
| 628 | LAW4 | Next, did any of the following criminal or
legal events occur to you since February/March, 1990: Accused of something for which a person might be sent to jail? |
1 2 9 |
Yes No No answer |
| 629 | LAW5 | Next, did any of the following criminal or
legal events occur to you since February/March, 1990: Arrested? |
1 2 9 |
Yes No No answer |
| 630 | LAW6 | Next, did any of the following criminal or
legal events occur to you since February/March, 1990: Sued in a civil (non-criminal) case? |
1 2 9 |
Yes No No answer |
| 631 | LAW7 | Next, did any of the following criminal or
legal events occur to you since February/March, 1990: Your child was arrested or got in trouble with the law? |
1 2 9 |
Yes No No answer |
| 632 | LIVE1 | What about things concerning where you
live? During the last year, did any of the following happen: Your home destroyed or heavily damaged due to fire, flood, or other disaster. |
1 2 9 |
Yes No No answer |
| 633 | LIVE2 | What about things concerning where you live? During the last year, did any of the following happen: Your home in poor condition (e.g. leaks, broken windows, insects, heating breakdowns, exposed wires, etc.). |
1 2 9 |
Yes No No answer |
| 634 | LIVE3 | What about things concerning where you
live? During the last year, did any of the following happen: Major home repairs (e.g. replaced furnace, new roof). |
1 2 9 |
Yes No No answer |
| 635 | LIVE4 | What about things concerning where you live? During the last year, did any of the following happen: Serious trouble with a landlord or building manager. |
1 2 9 |
Yes No No answer |
| 636 | OTH1 | And finally, since February/March, 1990, did
any of the following occur to you: Discriminated against because of your race or nationality, sex, or for a similar reason? |
1 2 9 |
Yes No No answer |
| 637 | OTH2 | And finally, since February/March, 1990, did any of the following occur to you: Unable to get into school or training program? |
1 2 9 |
Yes No No answer |
| 638 | OTH3 | And finally, since February/March, 1990, did
any of the following occur to you: Child had serious trouble in school (e.g., failing, dropping out, expelled, held back)? |
1 2 9 |
Yes No No answer |
| 639 | OTH4 | And finally, since February/March, 1990, did any of the following occur to you: Needed, but unable to use, public transportation to get to work, shop, etc.? |
1 2 9 |
Yes No No answer |
| 640 | OTH5 | And finally, since February/March, 1990, did
any of the following occur to you: Did not have a car (one month or more)? |
1 2 9 |
Yes No No answer |
| 641 | EXTRA1 | Aside from the things we've already covered,
what other important problems did you or members of your household have during the last 12 months? First mention. (See Note 4: Other Important Problems R Has Had on the ARDA file summary page) |
range: 1-996 | |
| 642 | EXTRA2 | Aside from the things we've already covered,
what other important problems did you or members of your household have during the last 12 months? Second mention. (See Note 4: Other Important Problems R Has Had on the ARDA file summary page) |
range: 1-996 | |
| 643 | POVLINE | Poverty Status of Household | 1 2 3 4 5 6 |
Poor Poor-imputed Non-poor Non-poor-imputed Borderline Borderline-imputed |
| 644 | INCDEF | Income deficit of household | 1 2 3 4 5 6 7 8 |
-$10,000 -$10,000 to -$5,000 -$4,999 to -$1,000 -$999 to +$999 +$1,000 to $4,999 +$5,000 to +$10,000 +$10,000 $20,000 + |
| 645 | REALINC | Family income on 1972-1991 surveys in
constant dollars (base=1986) |
range: 418-90265 | |
| 646 | REALRINC | Respondent's income on 1972-1991 surveys
in constant dollars (base=1986) |
range: 418-111284 | |
| 647 | ETHNIC | From what countries or part of the world did
your ancestors come? |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 <...> |
Africa Austria Canada (French) Canada (other) China Czechoslovakia Denmark England and Wales Finland France Germany Greece Hungary Ireland Italy <... truncated> |
| 648 | ETH1 | First ethnicity mentioned | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 <...> |
Africa Austria Canada (French) Canada (other) China Czechoslovakia Denmark England and Wales Finland France Germany Greece Hungary Ireland Italy <... truncated> |
| 649 | ETH2 | Second ethnicity mentioned | 1 2 3 4 6 7 8 9 10 11 12 13 14 15 17 <...> |
Africa Austria Canada (French) Canada (other) Czechoslovakia Denmark England and Wales Finland France Germany Greece Hungary Ireland Italy Mexico <... truncated> |
| 650 | ETH3 | Third ethnicity mentioned | 1 2 3 4 6 7 8 10 11 13 14 15 17 18 19 <...> |
Africa Austria Canada (French) Canada (other) Czechoslovakia Denmark England and Wales France Germany Hungary Ireland Italy Mexico Netherlands (Dutch/Holland) Norway <... truncated> |
| 651 | ETHNUM | Number of ethnicities named and picked | 1 2 3 4 5 |
Names one country Names two or more countries, chooses one Names two or more countries, can't choose Can't name any country No information |
| 652 | SPETHNIC | Summary ethnicity of spouse | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 <...> |
Africa Austria Canada (French) Canada (other) China Czechoslovakia Denmark England and Wales Finland France Germany Greece Hungary Ireland Italy <... truncated> |
| 653 | SPETH1 | First ethnicity of spouse mentioned | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 <...> |
Africa Austria Canada (French) Canada (other) China Czechoslovakia Denmark England and Wales Finland France Germany Greece Hungary Ireland Italy <... truncated> |
| 654 | SPETH2 | Second ethnicity of spouse mentioned | 1 3 4 6 7 8 10 11 12 13 14 15 16 17 18 <...> |
Africa Canada (French) Canada (other) Czechoslovakia Denmark England and Wales France Germany Greece Hungary Ireland Italy Japan Mexico Netherlands (Dutch/Holland) <... truncated> |
| 655 | SPETH3 | Third ethnicity of spouse mentioned | 4 6 7 8 10 11 14 17 18 19 22 23 24 26 27 <...> |
Canada (other) Czechoslovakia Denmark England and Wales France Germany Ireland Mexico Netherlands (Dutch/Holland) Norway Puerto Rico Russia (USSR) Scotland Sweden Switzerland <... truncated> |
| 656 | SPETHNUM | Number of ethnicities named and picked for spouse | 1 2 3 4 5 |
Names one country Names two or more countries, chooses one Names two or more countries, can't choose Can't name any country No information |
| 657 | VETYEARS | Have you ever been on active duty for
military training or service for two consecutive months or more? If yes: What was your total time on active duty? |
0 1 2 3 9 |
No active duty Yes, less than 2 years Yes, 2-4 years Yes, more than 4 years No answer |
| 658 | DWELLING | Dwelling type | 1 2 3 4 5 6 7 8 9 10 98 99 |
Trailer Detached single family house 2-family house, 2 units side-by-side 2-family house, 2 units one above the other Detached 3-4 family house Row house (3 or more units in an attached row) Apartment house (5 or more units, 3 stories or less) Apartment house (5 or more units, 4 stories or more) Apartment in a partly commercial structure Other Don't know No answer |
| 659 | DWELOWN | (Do you/Does your family) own your (home/apartment), pay rent, or what? |
1 2 3 9 |
Own or is buying Pays rent Other No answer |
| 660 | WORDA | We would like to know something about how
people go about guessing words they do not know. On this card are listed some words--you may know some of them, and you may not know quite a few of them: Word A |
0 1 9 |
Incorrect answer Correct answer No answer |
| 661 | WORDB | We would like to know something about how people go about guessing words they do not know. On this card are listed some words--you may know some of them, and you may not know quite a few of them: Word B |
0 1 9 |
Incorrect answer Correct answer No answer |
| 662 | WORDC | We would like to know something about how
people go about guessing words they do not know. On this card are listed some words--you may know some of them, and you may not know quite a few of them: Word C |
0 1 9 |
Incorrect answer Correct answer No answer |
| 663 | WORDD | We would like to know something about how people go about guessing words they do not know. On this card are listed some words--you may know some of them, and you may not know quite a few of them: Word D |
0 1 9 |
Incorrect answer Correct answer No answer |
| 664 | WORDE | We would like to know something about how
people go about guessing words they do not know. On this card are listed some words--you may know some of them, and you may not know quite a few of them: Word E |
0 1 9 |
Incorrect answer Correct answer No answer |
| 665 | WORDF | We would like to know something about how people go about guessing words they do not know. On this card are listed some words--you may know some of them, and you may not know quite a few of them: Word F |
0 1 9 |
Incorrect answer Correct answer No answer |
| 666 | WORDG | We would like to know something about how
people go about guessing words they do not know. On this card are listed some words--you may know some of them, and you may not know quite a few of them: Word G |
0 1 9 |
Incorrect answer Correct answer No answer |
| 667 | WORDH | We would like to know something about how people go about guessing words they do not know. On this card are listed some words--you may know some of them, and you may not know quite a few of them: Word H |
0 1 9 |
Incorrect answer Correct answer No answer |
| 668 | WORDI | We would like to know something about how
people go about guessing words they do not know. On this card are listed some words--you may know some of them, and you may not know quite a few of them: Word I |
0 1 9 |
Incorrect answer Correct answer No answer |
| 669 | WORDJ | We would like to know something about how people go about guessing words they do not know. On this card are listed some words--you may know some of them, and you may not know quite a few of them: Word J |
0 1 9 |
Incorrect answer Correct answer No answer |
| 670 | WORDSUM | Total number of correct words | 0 1 2 3 4 5 6 7 8 9 10 99 |
0 1 2 3 4 5 6 7 8 9 10 No answer |
| 671 | RELATE1 | Relationship of first person to head of household | 1 9 |
Head of household No answer |
| 672 | GENDER1 | Gender of first person | 1 2 |
Male Female |
| 673 | OLD1 | Age of first person | 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 <...> |
18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 <... truncated> |
| 674 | MAR1 | Marital status of first person | 1 2 3 4 5 9 |
Married Widowed Divorced Separated Never married No answer |
| 675 | AWAY1 | Is the first person staying somewhere else
right now? |
1 | Yes |
| 676 | WHERE1 | Where is the first person staying? | 1 9 |
Another household No answer |
| 677 | RELATE2 | Relationship of second person to head of household | 1 2 3 4 5 6 7 8 9 |
Head of head of household Spouse Child (natural, adopted, step) Son-/daughter-in-law Grand/great-grandchild Parent/parent-in-law Other relative Non-relative No answer |
| 678 | GENDER2 | Gender of second person | 1 2 9 |
Male Female No answer |
| 679 | OLD2 | Age of second person | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 <...> |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 <... truncated> |
| 680 | MAR2 | Marital status of second person | 1 2 3 4 5 9 |
Married Widowed Divorced Separated Never married No answer |
| 681 | AWAY2 | Is the second person staying somewhere else
right now? |
1 | Yes |
| 682 | WHERE2 | Where is the second person staying? | 1 2 9 |
Another household Traveling No answer |
| 683 | RELATE3 | Relationship of third person to head of household | 2 3 4 5 6 7 8 9 |
Spouse Child Kid-in-law Grandkid Parent Other relative Non-relative No answer |
| 684 | GENDER3 | Gender of third person | 1 2 9 |
Male Female No answer |
| 685 | OLD3 | Age of third person | 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 <...> |
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 <... truncated> |
| 686 | MAR3 | Marital status of third person | 1 2 3 4 5 9 |
Married Widowed Divorced Separated Never married No answer |
| 687 | AWAY3 | Is the third person staying somewhere else
right now? |
1 9 |
Yes No answer |
| 688 | WHERE3 | Where is the third person staying? | 1 9 |
Another household No answer |
| 689 | RELATE4 | Relationship of fourth person to head of household | 3 4 5 6 7 8 9 |
Child (natural, adopted,
step) Son-/daughter-in-law Grand/great-grandchild Parent/parent-in-law Other relative Non-relative No answer |
| 690 | GENDER4 | Gender of fourth person | 1 2 9 |
Male Female No answer |
| 691 | OLD4 | Age of fourth person | 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 <...> |
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 <... truncated> |
| 692 | MAR4 | Marital status of fourth person | 1 2 3 4 5 9 |
Married Widowed Divorced Separated Never married No answer |
| 693 | AWAY4 | Is the fourth person staying somewhere else
right now? |
1 9 |
Yes No answer |
| 694 | WHERE4 | Where is the fourth person staying? | 1 9 |
Another household No answer |
| 695 | RELATE5 | Relationship of fifth person to head of household | 3 5 7 8 9 |
Child (natural, adopted,
step) Grand/great-grandchild Other relative Non-relative No answer |
| 696 | GENDER5 | Gender of fifth person | 1 2 9 |
Male Female No answer |
| 697 | OLD5 | Age of fifth person | 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 <...> |
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 <... truncated> |
| 698 | MAR5 | Marital status of fifth person | 1 5 9 |
Married Never married No answer |
| 699 | AWAY5 | Is the fifth person staying somewhere else
right now? |
1 9 |
Yes No answer |
| 700 | WHERE5 | Where is the fifth person staying? | 1 9 |
Another household No answer |
| 701 | RELATE6 | Relationship of sixth person to head of household | 3 4 5 7 8 |
Child (natural, adopted,
step) Son-/daughter-in-law Grand/great-grandchild Other relative Non-relative |
| 702 | GENDER6 | Gender of sixth person | 1 2 |
Male Female |
| 703 | OLD6 | Age of sixth person | 0 1 2 3 4 5 6 7 8 9 10 11 12 13 15 <...> |
0 1 2 3 4 5 6 7 8 9 10 11 12 13 15 <... truncated> |
| 704 | MAR6 | Marital status of sixth person | 1 5 9 |
Married Never married No answer |
| 705 | RELATE7 | Relationship of seventh person to head
of household |
3 5 7 |
Child (natural, adopted,
step) Grand/great-grandchild Other relative |
| 706 | GENDER7 | Gender of seventh person | 1 2 |
Male Female |
| 707 | OLD7 | Age of seventh person | range: 0-32 | |
| 708 | MAR7 | Marital status of seventh person | 5 | Never married |
| 709 | RELATE8 | Relationship of eighth person to head of household | 3 5 |
Child (natural, adopted,
step) Grand/great-grandchild |
| 710 | GENDER8 | Gender of eighth person | 1 2 |
Male Female |
| 711 | OLD8 | Age of eighth person | range: 1-10 | |
| 712 | RELATE9 | Relationship of ninth person to head of household | 3 5 |
Child (natural, adopted,
step) Grand/great-grandchild |
| 713 | GENDER9 | Gender of ninth person | 1 2 |
Male Female |
| 714 | OLD9 | Age of ninth person | range: 1-6 | |
| 715 | RELATE10 | Relationship of tenth person to head of household | 3 5 |
Child (natural, adopted,
step) Grand/great-grandchild |
| 716 | GENDER10 | Gender of tenth person | 2 | Female |
| 717 | OLD10 | Age of tenth person | range: 2-2 | |
| 718 | RELATE11 | Relationship of eleventh person to head
of household |
2 3 5 7 8 9 |
Spouse Child (natural, adopted, step) Grand/great-grandchild Other relative Non-relative No answer |
| 719 | GENDER11 | Gender of eleventh person | 1 2 |
Male Female |
| 720 | OLD11 | Age of eleventh person | range: 17-60 | |
| 721 | MAR11 | Marital status of eleventh person | 1 2 3 4 5 |
Married Widowed Divorced Separated Never married |
| 722 | AWAY11 | Is the eleventh person staying somewhere
else right now? |
1 | Yes |
| 723 | WHERE11 | Where is the eleventh person staying? | 1 9 |
Another household No answer |
| 724 | RELATE12 | Relationship of twelfth person to head
of household |
2 3 8 9 |
Spouse Child (natural, adopted, step) Non-relative No answer |
| 725 | GENDER12 | Gender of twelfth person | 1 2 |
Male Female |
| 726 | OLD12 | Age of twelfth person | range: 11-45 | |
| 727 | MAR12 | Marital status of twelfth person | 1 3 5 |
Married Divorced Never married |
| 728 | AWAY12 | Is the twelfth person staying somewhere else
right now? |
1 | Yes |
| 729 | WHERE12 | Where is the twelfth person staying? | 9 | No answer |
| 730 | HEFINFO | Number in family of person who was
household informant (i.e. who provided information on household members) |
1 2 3 4 5 6 12 22 99 |
First person Second person Third person Fourth person Fifth person Sixth person Twelfth person Non-household person No answer |
| 731 | HHRACE | Race of household | 1 2 3 4 5 9 |
White Black American Indian Asiatic, Oriental Other, mixed not able to observe No answer |
| 732 | RESPNUM | Number in family of respondent | 1 2 3 4 5 11 |
First person Second person Third person Fourth person Fifth person Eleventh person |
| 733 | HHTYPE | Household type | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 21 <...> |
1 adult, no children 1 adult, 1+ children 2 adults, 1 married; no children 2 adults, 1 married; 1+ children 2 adults, don't know if married; no children 2 adults, don't know if married; 1+ children 2 adults, unmarried, unrelated, opposite sex; no children 2 adults, unmarried, unrelated, opposite sex; 1+ children 2 adults, unmarried, unrelated, same sex; no children 2 adults, unmarried, unrelated, same sex; 1+ children 2 adults, unmarried, related; no children 2 adults, unmarried, related; 1+ children 2 adults, unmarried, don't know if related; no children 2 adults, unmarried, don't know if related; 1+ children 3 adults, marital status unsure, related; no children <... truncated> |
| 734 | HHTYPE1 | Household type condensed | 1 2 3 4 5 6 8 11 13 15 16 18 99 |
Married couple, no children Single parent Other family, no children Single adult Cohabiting couple, no children Non-family, no children Unsure, no children Married couple, with children Other family with children Cohabiting couple with children Non-family with children Unsure with children No answer |
| 735 | FAMGEN | Number of family generations in household | 1 2 3 4 5 6 7 |
One generation Two generations, children Two generations, parents Two generations, grandchild(ren) Three generations, child(ren), grandchildren Three generations, child(ren), parent Four generations |
| 736 | RPLACE | Respondent's relationship to household head | 1 2 3 4 5 6 7 8 9 |
Head of household Spouse Child (natural, adopted, step) Son-/daughter-in-law Grand/great-grandchild Parent/parent-in-law Other relative Non-relative No answer |
| 737 | RVISITOR | Is respondent a visitor? | 1 2 |
R. is member of household R. is visitor |
| 738 | VISITORS | Number of visitors in household | 0 1 2 |
No visitors 1 visitor 2 visitors |
| 739 | DATEINTV | Date of interview (first digit is month, last
two digits are date) |
209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 <...> |
209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 <... truncated> |
| 740 | ISCO681 | Respondent's occupation (International
Standard Classification Codes 1968) (See Note 5: 1968 International Standard Classification Codes [based on 1980 U.S. occupational codes] on the ARDA file summary page) |
range: 110-9996 | |
| 741 | PAISC681 | Occupation of respondent's father
(International Standard Classification Codes 1968) (See Note 5: 1968 International Standard Classification Codes [based on 1980 U.S. occupational codes] on the ARDA file summary page) |
range: 110-9990 | |
| 742 | SPISC681 | Occupation of respondent's spouse
(International Standard Classification Code 1968) (See Note 5: 1968 International Standard Classification Codes [based on 1980 U.S. occupational codes] on the ARDA file summary page) |
range: 110-9990 | |
| 743 | ISCO88 | Respondent's occupation, 1988 Census (Note:
These codes are based on the 1970 U.S. Census occupational codes and the Hodge-Siegel-Rossi Prestige Scores. For further detail refer to Appendix F in the Cumulative Codebook for the General Social Survey, 1972-2 |
range: 110-9333 | |
| 744 | PAISCO88 | Respondent's father's occupation, 1988
Census (Note: These codes are based on the 1970 U.S. Census occupational codes and the Hodge-Siegel-Rossi Prestige Scores. For further detail refer to Appendix F in the Cumulative Codebook for the General Social Surve |
range: 110-9333 | |
| 745 | SPISCO88 | Respondent's spouse's occupation, 1988 Census (Note: These codes are based on the 1970 U.S. Census occupational codes and the Hodge-Siegel-Rossi Prestige Scores. For further detail refer to Appendix F in the Cumulative Codebook for the General Social Surve |
range: 110-9333 | |
| 746 | SEI | Respondent socioeconomic index | range: 17.1-97.2 | |
| 747 | PASEI | Socioeconomic index of respondent's father | range: 17.1-97.2 | |
| 748 | SPSEI | Socioeconomic index of respondent's spouse | range: 17.1-97.2 | |
| 749 | COHORT | Birth cohort of respondent -- actual year of birth | 1902 1903 1904 1906 1907 1908 1909 1910 1911 1912 1913 1914 1915 1916 1917 <...> |
1902 1903 1904 1906 1907 1908 1909 1910 1911 1912 1913 1914 1915 1916 1917 <... truncated> |
| 750 | MARCOHRT | Marriage cohort of the respondent -- year
of marriage |
1918 1921 1923 1924 1925 1926 1927 1928 1929 1930 1931 1932 1933 1934 1935 <...> |
1918 1921 1923 1924 1925 1926 1927 1928 1929 1930 1931 1932 1933 1934 1935 <... truncated> |
| 751 | BIRTHMO | What is your date of birth? (only the month is coded here) |
1 2 3 4 5 6 7 8 9 10 11 12 98 99 |
January February March April May June July August September October November December Don't know No answer |
| 752 | ZODIAC | Astrological sign of respondent | 1 2 3 4 5 6 7 8 9 10 11 12 98 99 |
Aries Taurus Gemini Cancer Leo Virgo Libra Scorpio Sagittarius Capricorn Aquarius Pisces Don't know No answer |
| 753 | BALLOT | Ballot Administered | 1 2 3 |
Ballot A Ballot B Ballot C |
| 754 | ISSP | Status on International Social Survey
Program Supplement |
1 2 |
R did ISSP R didn't |
| 755 | FORMWT | Weight for form variables | range: 1-1 | |
| 756 | SAMPCODE | SAMPLING ERROR CODE | range: 301-384 | |
| 757 | SAMPLE | The GSS has employed various sampling procedures and frames. |
6 | 1980 sample frame, full probability |
| 758 | OVERSAMP | Weight for black oversamples | range: 1-1 | |
| 759 | I@AGE | Respondent's age (Recoded for use with
online analysis) |
1 2 3 4 5 |
18-29 30-44 45-59 60-74 75 and older |
| 760 | I@ATTEND | How often do you attend religious
services? (Recoded for use with online analysis) |
1 2 3 4 5 6 |
Less than once a year About once or twice a year Several times a year About once a month Nearly every week Once a week or more |
| 761 | I@EDUC | Respondent's Degree (Recoded for use with
online analysis) |
0 1 2 3 4 |
Less than high school High school Junior College Bachelor's degree Graduate degree |
| 762 | I@GENDER | Code respondent's sex (for use with
online analysis) |
1 2 |
Male Female |
| 763 | I@RELIGION | What is your religious preference? Is it Protestant, Catholic, Jewish, some other religion, or no religion? (Recoded for use with online analysis) |
1 2 3 4 5 |
Protestant Catholic Jewish None Other |
| 764 | I@POLITICS | We hear a lot of talk these days about
liberals and conservatives. I'm going to show you a seven-point scale on which the political views that people might hold are arranged from extremely liberal - - point 1 - - to extremely conservative point 7. Where wo |
1 2 3 4 5 6 |
Liberal and extremely liberal Slightly liberal Moderate, middle or the road Slightly conservative Conservative Extremely conservative |
| 765 | I@RACE | What race do you consider yourself? (for use
with online analysis) |
1 2 3 |
White Black Other |


We Can Code Week 3: Game Composition, overview of programming languages
wolfram74.github.io/wcc_index.html
What are games?
Problem Decomposition
State, Mechanics, Controls and Interface
State
Mechanics
Controls
Interface
Features of Programming languages
Static typing or Dynamic typing?
Interpreted or Compiled?
Object oriented or functional?
Age and popularity?
| Typing |
Statically typed |
Dynamically typed |
Barely typed |
|
C, Java, Rust |
Python, Ruby |
Javascript |
| Implementation |
Compiled |
Both |
Interpreted |
|
C, Rust |
Python, Java |
Javascript, Ruby |
| Objects and functions |
Heavy Emphasis on Objects |
Mixed approach |
Heavy Emphasis on Functions |
|
Java, Ruby |
Python, Rust, Javascript |
C |
| Age |
> 30 years |
> 10 years |
< 10 years |
|
C, |
Python, Ruby, Javascript, Java |
Rust |
| Popularity |
Very popular |
middle |
Less popular |
|
Python, Javascript |
Java, C and C++ |
Ruby, Rust |


Let's say you have a binary string such as the following:
011100011
One way to encrypt this string is to add to each digit the sum of its adjacent digits. For example, the above string would become:
123210122
In particular, if P is the original string, and Q is the encrypted string, then Q[i] = P[i-1] + P[i] + P[i+1] for all digit positions i. Characters off the left and right edges of the string are treated as zeroes.
An encrypted string given to you in this format can be decoded as follows (using 123210122 as an example):
Now we repeat the process, assuming the opposite about P[0]:
Note that this algorithm produces at most two decodings for any given encrypted string. There can never be more than one possible way to decode a string once the first binary digit is set.
Given a
We know that one of the digits must be '1', and the other must be '0'. We return both cases.
Since the first digit of the encrypted string is '2', the first two digits of the original string must be '1'. Our test fails when we try to assume that P[0] = 0.
This is the same as the first example, but the rightmost digit has been changed to something inconsistent with the rest of the original string. No solutions are possible.
The example from above.


{% load static %}
Onboard
Help us find out what bus you're on
Select bus route
415
2
432
Select last bus stop
H
Heading in or out of town*
Inbound
Outbound
Include location (privacy - browser...can we track you etc.?)
Location
Submit


application
/
net.corda.v5.application.node
/
CordaClock
/
withZone
withZone
open
fun
withZone
(
zone
:
ZoneId
)
:
Nothing
Deprecated:
Do not use this. Instead seek to use ZonedDateTime methods.


public class CSVFile
extends Object
| Modifier and Type | Field and Description |
|---|---|
protected String |
dataDelimiter |
protected String |
encoding
the encoding type of the file
|
protected String |
headerDelimiter |
protected Hashtable |
headers
the data headers contained in the file.
|
protected String |
lineDelimiter |
protected String |
name
the name of the file (including any file extension)
|
protected String |
path
the path of the file to read/write data
|
protected String |
rawFileText
the raw text that is found in the file when reading/writing
|
| Constructor and Description |
|---|
CSVFile(String path)
Constructs a new file that is ascii encoded
|
CSVFile(String path,
String encoding)
Constructs a new CSVFile
|
| Modifier and Type | Method and Description |
|---|---|
void |
addHeader(CSVDataHeader header) |
protected CSVDataHeader |
createNewHeader(String rawText)
Create new header from given text (should be two lines) each beginning with the headerDelimiter.
|
protected String |
createRawText()
Traverse through the list of headers and create the raw text for a file
based on the data contained in the headers.
|
String |
getDataDelimiter() |
String |
getFileName() |
CSVDataHeader |
getHeader(String title) |
String |
getHeaderDelimiter() |
Hashtable |
getHeaders() |
String |
getLineDelimiter() |
String |
getPath() |
void |
parseFile(String rawInput)
Parse through the given text saving the given data into CSVDataHeaders
|
protected void |
parseFileMetaData(String text)
Parse the given text to determine the delimiters for parsing the file
|
protected CSVDataHeader |
parseHeaderData(CSVDataHeader header,
String rawText)
Parse the given text and append it to the appropriate columns
in the given CSVDataHeader.
|
protected String |
readFileData()
Reads the text contained in a file based on the file's encoding.
|
void |
removeHeader(String title) |
void |
save()
Saves raw text to the file based on the data contained in the headers list.
|
void |
setDataDelimiter(String d)
Sets the delimiter to use when parsing a row for data
* @param d the new delimiter to use
|
void |
setFileName(String newName) |
void |
setHeaderDelimiter(String d)
Sets the delimiter to use when parsing a header of data
|
void |
setHeaderList(Hashtable newHeaders)
Sets the entire list of headers to the given list
CAUTION:This removes any previously contained data that the data headers of this file contain |
void |
setLineDelimiter(String d)
Sets the delimiter to use when parsing for a row of data
|
void |
setPath(String pth) |
protected void |
writeFileData(String data)
Writes data to the file.
|
protected String encoding
OutputStreamWriter
protected String path
if path
points to an invalid file
or the file does not exist the file is created
instead and read/written to. BE CAREFUL
protected String name
protected Hashtable headers
CSVDataHeader
protected String rawFileText
protected String headerDelimiter
protected String lineDelimiter
protected String dataDelimiter
public CSVFile(String path)
path
- the path of the file to createCSVFile(String path,String encoding)
public CSVFile(String path, String encoding)
path
- the path of the file to createencoding
- the encoding of the text in the filepublic void setLineDelimiter(String d)
d
- the new delimiter to usepublic void setDataDelimiter(String d)
public void setHeaderDelimiter(String d)
d
- the new delimiter to usepublic String getLineDelimiter()
public String getHeaderDelimiter()
public String getDataDelimiter()
public Hashtable getHeaders()
public void setHeaderList(Hashtable newHeaders)
newHeaders
- the new set of headers to usepublic String getPath()
public void setPath(String pth)
pth
- the new path to use for this filepublic String getFileName()
public void setFileName(String newName)
newName
- the new name of this fileprotected String readFileData()
for details on where to read the data from
protected void writeFileData(String data)
data
- the String of data to write to the filepublic void save()
createRawText()
,
writeFileData(String)
public void parseFile(String rawInput)
This is done by reading through each line in the text (denoted by the value "\n")
and parsing the data according to the first character in the line. If the character
is one of the three delimiters then parse it accordingly. If it not skip it and
move on.
rawInput
- the raw text to parse - generally the value returned by readFileData().readFileData()
protected CSVDataHeader parseHeaderData(CSVDataHeader header, String rawText)
header
- the header to append the data torawText
- the raw text to parse
Should be a line of raw text from the file in proper JavaCSVReader format see README.txt
Vector2D.appendToColumn(Object,int)
protected void parseFileMetaData(String text)
view the README.txt for more details on file and text formatting
text
- the raw text to use to parse for the delimiters.
This is normally the FIRST line in a file
protected CSVDataHeader createNewHeader(String rawText)
view the README.txt for more details on file and text formatting
rawText
- the rawText to parse for creating the new CSVDataHeaderpublic void addHeader(CSVDataHeader header)
header
- the new header to add to the list of headers this file containspublic void removeHeader(String title)
title
- the title of the header to remove from the list of headers this file containspublic CSVDataHeader getHeader(String title)
title
- the title of the header to getprotected String createRawText()
save()


Imlib2-Ruby TODO
==========
-
- tutorial
-
- clip_line… where should I put it?
-
- hash access for color types
-
- color superclass with either methods for accessing as various types, or
-
- subclasses for various types?
- x
- updates
- x
- x11
- -
- preserved context in object (esp image) methods
-
- gdkx support
-
- arbitrary data support in attach_value calls


Speakers
Feb
4
Cameron Baradar
The House
Founder & Partner
Feb
11
Pamela Webber
99designs
COO
Feb
20
Ben Herman
Jumpstart
Founder & CEO
Feb
25
Liz Klinger
Lioness Health
Founder & CEO
Mar
6
Angie Carillo
3X Founder and Consultant
at Higia Technologies
Mar
11
Karen Taylor
Founder and CEO @
Onederful
Mar
18
Lynn Perkins
UrbanSitter
Founder & CEO
Apr
3
Joel Flory
VSCO
Founder & CEO
Apr
10
David Cramer
Sentry
Founder & CEO
Apr
15
Preston Silverman
RaiseMe
Founder & CEO
Apr
17
George Mathew
Kespry
CEO & Chairman
April
22
Garry Tan
Initialized Capital
Founder & Partner
Apr
24
Paul Coletta
Urban Remedy
Founder & CEO
May
1
Pejman Nozad
Pear VC
Founder & Partner
Assignments
💡 Read: “How to Get Startup Ideas” by Paul Graham, 🎨 Research what 99designs does, 👀 Check out Pamela Webber’s LinkedIn, 🎫 Get ticket for Pamela Webber event on Eventbrite
💡 Read: "Top 18 Startup Mistakes" by Paul Graham, 🚀 Research what Jumpstart does, 👀 Check out Ben Herman’s LinkedIn, 🎫 Get ticket for the Ben Herman event on Eventbrite
About
There’s no better place to explore building a startup than during your time as a student at UC Berkeley. Surrounded by ambitious and talented people and industry-leading professors, there’s endless potential to create the next big thing. This course is designed to teach and inspire students to use their knowledge to build startups, and also to hear industry leaders come and talk to you about their process and journey, as well as answer any of your own questions.
We will be going over the basic building blocks of a successful startup and connect this knowledge to emerging fields. Over the course of the semester, you will get into groups and go through the actual process of ideating and creating a startup idea that is intriguing to investors, culminating in a pitch to real venture capitalists! In addition, we will be providing an overview of the startup scene at Berkeley, pointing out resources ready to help students get a head start.
The course meets one to two times per week (Mondays and/or Wednesdays). The class will have speaker classes which will feature entrepreneurs who share their experiences and knowledge in a particular area of building a startup. It will also feature guest professors and introduce you to resources on campus to help you build your venture.[2 units].
Sponsors
Staff
Questions about the decal? Email<EMAIL_ADDRESS>Advisors: Jimmy Liu, Zuhayeer Musa, Cameron Baradar, Thomas Liao, Harika Kalluri, Cathleen Jia, Parker Cardwell, Aaron Lin, Daniel Andrews
Faculty advisor: Scott Shenker
Policies
This class has a strict P/NP criteria. If a student (A) misses more than 1 lecture (unexcused) OR (B) misses more than 2 lectures (excused) OR (C) fails to complete 70% of the assignments, they will fail. Everyone else passes. Additionally, Eventbrite tickets are necessary for attendance. Any attendance without an Eventbrite ticket will count as 0.75 of an attendance.


Create a form that has fields for a mailing address and a billing address. Include a button that when clicked will copy the values from the mailing address to the billing address fields (so your user does not have to type them twice). You should write a function that copies the values from one field to the other. The button should call the function when clicked.
Create a page with one dropdown box and one button. When the button is clicked an alert box should pop up that displays the currently selected value from the drop down box: (again use a function. the function should be called when the button is clicked)
Create a form with one field and one button. When the button is clicked a function should be called which should contain the following logic:
Create a form with one text entry field and one button. When the button is clicked a function should transform the value in the text entry field to all uppercase letters using the javascript toUpperCase() function.
Create a form that has five text entry fields. Each field should have an "onBlur" event which calls a function. This will trigger the function each time the user tabs out of any of the fields. The function should transform the value in the field to all lowercase. This can be accomplished by passing "this" into the function.


padding
specifies a number
of empty bits to be ignored. Another good way to think about this is
as bit padding, it adds the number of bits in padding when specified.
From an implementation stand point it adds Bits
to the starting the next starting position of the next bitfield specified
in the template parameter list. This class is used to give explicit control
to the user when it comes to the internal storage of the bits within
the bitfield_tuple
.
namespace boost { namespace bitfields { template <std::size_t Bits> struct padding; }}
|
Parameter |
Description |
|---|---|
|
|
The amount of padding to add. |
This header file is included with the <boost/integer/bitfield_tuple.hpp> header file.
#include <boost/integer/details/bft/padding.hpp>
#include <boost\integer\bitfield_tuple.hpp> using namespace boost::bitfields; struct red; struct green; struct pink; struct blue; struct salmon; typedef bitfield_tuple< storage<std::size_t>, member<char,red,4>, member<unsigned char, green,5>, padding<3>, member<int, salmon, 16>, flag<blue> > tuple_with_padding;
All the padding does in the above is shift the last two members over by 3 bits.


Last updated: 18. May 2016 18:00 UTC
==================
I, as the creator of Better Battlelog, have much contact with the code of battlelog. I have no access behind the scenes but i can analyse what i see.
And what i see makes me sad.
The fact's that i compare with previous game launches in battlelog.
1. Everytime a new game comes out, many of things change in Battlelog before anyone else can see it. I saw that with every release of a game, it started all more than a half year before the release of the game.
Now it doesn't happen anything interesting. No preparation for a new game and other stuff. Nothing that takes me to the point "Oh, a new game could come".
I carefully analysed the code and the changes in the last few months, nothing.
Remember: I leaked the BF Hardline release first :)
2. Not just one official word for battlelog. For the last games, they where very proud for the battlelog system and they announced it everywhere they could. Now we only hear silence.
3. They officially confirmed a server-browser, again with no word for battlelog.
4. Just shooting in the dark: What i see from code changes, they maybe move the existing battlelog to in-game and screw the Web based battlelog - The technology behind the battlelog led me to this assumption. But here i am do just loud thinkin.
Update:
5. The official BF1 chat forum is NOT in battlelog. It always was in battlelog for the last games. Now it just links to an external site when you go to the battlelog forums.
Update 2:
6. Many people contacted me during the reddit discussion session. Some of them have more in-depth information. Different people that don't know each other say the same thing (all private messaged me): EA plan to totally kill web based battlelog. Can't name sources here but i trust (some) of that people.
Update 3:
No more Battlelog forums officially confirmed
With all that said, i am pretty sure that BF1 will not have any WEB based battlelog. But i am also sure that they add an adequate alternative, which only can be completely in-game.
Update: Why i am sure? They already have a "battlelog light" in-game and the problem always was that web-based battlelog is, mostly, PC only.
MAYBE I AM TOTALLY WRONG
, i hope so, for the live of BBLog.
The FAQ of the reddit community
1. What if they learned and do not the same mistakes again and leak out stuff into public code?
A: I really hope so. When i am wrong it will be a good day for me and BBLog. The past tell us another story.
You heard it here first :)
Post edited 2 x times, last by
Nano
Global Moderator
Nano
Global Moderator
I don't think this is a good idea.
Deploy fixes and new tools to web based is way too "simple" than deploy to an store app. Applications needs to update the client and everything.
I mean simple, because is too more easy to debug/fix a code which run in a already know server and specs, who runs just web based than to deploy a fix for a application running on-premises.
Not counting the user experience. Is far more easy to know what you will play just opening a new tab and search for game/friends playing and what. If i need to open game for that, this i'll kill all my will.
I hope they change their minds.
Topicstarter
BrainFooLong
Administrator
New fact: No more Battlelog forums officially confirmed
So they're effectively killing Battlelog? Strange, after so much work that went into it, swimming against the stream of people hating it only to leave it to die after people pretty much accepted it. Didn't expect that.


---
layout: default
published: true
title: "Email Microservice - Global Requirements"
wireframe_url: https://www.lucidchart.com/publicSegments/view/5e347869-6a39-4e05-b5f9-4765a3b9f211/image.png
---
{{ page.title }}
- 01) 02-07-2018 GLOBAL REQUIREMENT: The originating email address (the "from" address) is a requirement of the microservice for every email to be sent.
- 02) 02-07-2018 GLOBAL REQUIREMENT: The destination email address (the "to" address) is a requirement of the microservice for every email to be sent.


Home
About Us
Projects
Contact
KCCSC
Home
About Us
Projects
Contact
Knox College Computer Science Club
This is the club website. =)
News


As you wish. I don't know what you're talking about. I am a member of the Imperial Senate on a diplomatic mission to Alderaan-- A tremor in the Force. The last time I felt it was in the presence of my old master.
Hokey religions and ancient weapons are no match for a good blaster at your side, kid. As you wish. You don't believe in the Force, do you? he must have hidden the plans in the escape pod. Send a detachment down to retrieve them, and see to it personally, Commander. There'll be no one to stop us this time!
I can't get involved! I've got work to do! It's not that I like the Empire, I hate it, but there's nothing I can do about it right now. It's such a long way from here. I'm surprised you had the courage to take the responsibility yourself.
I don't know what you're talking about. I am a member of the Imperial Senate on a diplomatic mission to Alderaan--
I can't get involved! I've got work to do! It's not that I like the Empire, I hate it, but there's nothing I can do about it right now. It's such a long way from here. I'm surprised you had the courage to take the responsibility yourself.
- Hokey religions and ancient weapons are no match for a good blaster at your side, kid.
- Remember, a Jedi can feel the Force flowing through him.
- She must have hidden the plans in the escape pod. Send a detachment down to retrieve them, and see to it personally, Commander. There'll be no one to stop us this time!
Check out the Destinations we have!! or You are welcome back home!


These are your backup configuration endpoints. You can reuse them to create new backup definitions.
Create File Endpoint »