WLS Codebooks

Note: Codebooks contain frequency data from the private data release. For some variables, these differ from the frequencies in the public release. Variables that differ between the public and private versions include "(not available on public release)" as part of the variable description, or a note indicating the difference between the public and private versions.

Phone: Education

HEDUC - Graduate Spouse Education Module      


OVERVIEW

Information about the Graduate Spouse's education was collected in 
the following manner:
           
     -Information on secondary education was collected in this module. Whether
the respondent attended the 9th grade or high school in Wisconsin and the name
and location of the high school the graduate-spouse attended the longest by the
respondent were collected.  If the graduate-spouse was female,her name while
attending this school was also ascertained.  

     -Success questions are actually asked at the end of the interview.
Following the 1993 codebook, they are put here. 

NOTE: See cor905 in Appendix B for variable creation details.


BRIEF VARIABLE DESCRIPTIONS

     AB001RE-AB005REC:   Summary of educational history
  
     AB042RE-AB044RE:    Wisconsin secondary school variables using 2003 data.
  
     AB037RE-AB040RE:    Success in education, work, finances and family life.

ab001re: Grad spouse ever attended college?

Data source: Graduate Spouse Respondent      Collected in: 2004      Mode: phone
Source variables: h_b10, c_h_b10, h_b20, AB003RED

Frequencies
Value Label Male Female Total
-3 REFUSED 1 0 1
-1 DON'T KNOW 1 0 1
1 YES 965 1074 2039
2 NO 841 1008 1849

ab003red: Summary of equivalent years of regular education based on highest degree.

Data source: Graduate Spouse Respondent      Collected in: 2004      Mode: phone
Source variables: h_b10, c_h_b10, h_b20

Frequencies
Value Label Male Female Total
-3 REFUSED 1 0 1
-1 DON'T KNOW 1 0 1
4 Completed 4th grade 1 0 1
5 Completed 5th grade 1 1 2
6 Completed 6th grade 1 2 3
7 Completed 7th grade 3 0 3
8 Completed 8th grade 35 4 39
9 Completed 9th grade 27 8 35
10 Completed 10th grade 54 24 78
11 Completed 11th grade 38 45 83
12 High school graduate or less, or less than one year of college 713 966 1679
13 One-year college certificate, one year of college (no degree or certificate) 113 174 287
14 Two-year teaching certificate, associate degree, two-year diploma or certificate, two years of college (no degree or certificate) 144 188 332
15 College trained registered nurses, one or more years post two-year degree (but no higher degree), three or more years of college (no degree or certificate) 35 58 93
16 Bachelor's degree 292 367 659
17 Master's degree with major field: continuing/vocational educ (042) curriculum (044) education (050) elementary education (055) library science (091), or one or more years post-bachelor's degree (no higher degree or certificate) 22 23 45
18 Two-year master's (i.e., with major other than those above), AE, OD, EdS, DVM, DC, MDiv, ThB or one or more years post one-year master's (no higher degree or certificate) 199 179 378
19 DDS, LLD, LLB, JD, or one or more years post two-year-master's level degree (no higher degree or certificate) 8 6 14
20 PhD, MD, other doctorates not previously included, or one or more years post-professional degree 113 32 145
21 Post doctorate education 7 5 12
Note: This is years completed.
Note: Top and bottom coded on public release.

ab005rec: What is the graduate spouse's highest degree since high school?

Data source: Graduate Spouse Respondent      Collected in: 2004      Mode: phone
Source variables: AB003RED

Frequencies
Value Label Male Female Total
-3 REFUSED 1 0 1
-2 873 1050 1923
-1 DON'T KNOW 1 0 1
1 ASSOCIATE'S DEGREE 292 420 712
2 BACHELOR'S DEGREE 292 367 659
3 MASTER'S DEGREE 221 202 423
4 DOCTORATE OR PROFESSIONAL DEGREE 128 43 171

ab042re: Has the graduate spouse ever attended high school or 9th grade in Wisconsin?

Data source: Graduate Spouse Respondent      Collected in: 2004      Mode: phone
Source variables: h_b40, h_b50, AB003RED, h_b10, h_b20

Frequencies
Value Label Male Female Total
-4 NOT ASCERTAINED 14 18 32
-3 REFUSED 1 0 1
-1 DON'T KNOW 1 0 1
1 YES 1334 1487 2821
2 NO 458 577 1035

ab043re: What year did graduate spouse graduate from a Wisconsin high school?

Data source: Graduate Spouse Respondent      Collected in: 2004      Mode: phone
Source variables: h_b80, h_b40, AB003RED, h_b10, c_h_b10

Frequencies
Value Label Male Female Total
-3 REFUSED 1 0 1
-2 606 683 1289
-1 DON'T KNOW 8 12 20
1931 - 1955 617 53 670
1956 - 1957 414 248 662
1958 - 1959 99 464 563
1960 - 1964 47 480 527
1965 - 1998 16 142 158
Note: Top and bottom coded on public release.

ab044re: Was Wisconsin high school or 9th grade located in a city, town or rural area?

Data source: Graduate Spouse Respondent      Collected in: 2004      Mode: phone
Source variables: h_b65, AB042RE

Frequencies
Value Label Male Female Total
-2 474 595 1069
-1 DON'T KNOW 15 11 26
1 CITY 971 987 1958
2 TOWN 289 411 700
3 RURAL AREA 59 78 137

ab037re: To what extent have you been successful in education?

Data source: Graduate Spouse Respondent      Collected in: 2004      Mode: phone
Source variables: b416s

Frequencies
Value Label Male Female Total
-5 PARTIAL INTERVIEW 21 11 32
-3 REFUSED 2 3 5
-1 DON'T KNOW 5 6 11
1 NOT AT ALL SUCCESSFUL 6 8 14
2 NOT VERY SUCCESSFUL 82 121 203
3 SOMEWHAT SUCCESSFUL 950 1095 2045
4 VERY SUCCESSFUL 742 838 1580
Note: This is actually asked at the very end of the interview during the address check while the education questions are at the beginning of the interview. This is why there are partial interviews here

ab038re: To what extent have you been successful in work?

Data source: Graduate Spouse Respondent      Collected in: 2004      Mode: phone
Source variables: b418

Frequencies
Value Label Male Female Total
-5 PARTIAL INTERVIEW 21 11 32
-3 REFUSED 1 2 3
-1 DON'T KNOW 3 11 14
1 NOT AT ALL SUCCESSFUL 0 5 5
2 NOT VERY SUCCESSFUL 6 50 56
3 SOMEWHAT SUCCESSFUL 525 700 1225
4 VERY SUCCESSFUL 1252 1303 2555
Note: This is actually asked at the very end of the interview during the address check while the education questions are at the beginning of the interview. This is why there are partial interviews here

ab039re: To what extent have you been successful in finance?

Data source: Graduate Spouse Respondent      Collected in: 2004      Mode: phone
Source variables: b418f

Frequencies
Value Label Male Female Total
-5 PARTIAL INTERVIEW 21 11 32
-3 REFUSED 5 10 15
-1 DON'T KNOW 4 11 15
1 NOT AT ALL SUCCESSFUL 1 4 5
2 NOT VERY SUCCESSFUL 53 107 160
3 SOMEWHAT SUCCESSFUL 1017 1154 2171
4 VERY SUCCESSFUL 707 785 1492
Note: This is actually asked at the very end of the interview during the address check while the education questions are at the beginning of the interview. This is why there are partial interviews here

ab040re: To what extent have you been successful in family?

Data source: Graduate Spouse Respondent      Collected in: 2004      Mode: phone
Source variables: b418g

Frequencies
Value Label Male Female Total
-5 PARTIAL INTERVIEW 21 11 32
-3 REFUSED 3 3 6
-1 DON'T KNOW 3 2 5
1 NOT AT ALL SUCCESSFUL 4 1 5
2 NOT VERY SUCCESSFUL 19 19 38
3 SOMEWHAT SUCCESSFUL 491 457 948
4 VERY SUCCESSFUL 1267 1589 2856
Note: This is actually asked at the very end of the interview during the address check while the education questions are at the beginning of the interview. This is why there are partial interviews here

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