the data consultant as archaeologist n.
Download
Skip this Video
Loading SlideShow in 5 Seconds..
The Data Consultant as Archaeologist PowerPoint Presentation
Download Presentation
The Data Consultant as Archaeologist

Loading in 2 Seconds...

play fullscreen
1 / 33

The Data Consultant as Archaeologist - PowerPoint PPT Presentation


  • 119 Views
  • Uploaded on

The Data Consultant as Archaeologist. Digging for Meaning in World War II Era U.S. Public Opinion Surveys. The Project.

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'The Data Consultant as Archaeologist' - hollis


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
the data consultant as archaeologist

The Data Consultant as Archaeologist

Digging for Meaning in World War II Era U.S. Public Opinion Surveys

the project
The Project

A historian of the twentieth century United States wants to incorporate public opinion survey data into research on the growth of the national state in the eras of the Great Depression and Second World War

the sources
The Sources
  • Largely unmined U.S. public opinion polls from the 1930s and ’40s
    • The pioneering age of scientific survey research
    • Survey takers included Gallup (AIPO), NORC, OPOR (Hadley Cantril), Roper
the documentation
The Documentation
  • Quality varied, but at its best far short of modern metadata standards
    • Typically scans of questionnaires with handwritten notes
    • Some typed or handwritten code lists for response options not directly listed on the questionnaire; missing for some variables
    • Other random bits of documentation, such as frequencies, interviewer instructions
case 1 economic class n
Case 1: Economic Class “N”?

Roper/Fortune Survey, January 1939:

(Unknown variable)

Roper/Fortune Survey, January 1940:

confirming n negro
Confirming N=“Negro”
  • Professor’s “informed guess” was that N represented “Negro”, i.e., black, respondents
  • Strategy for confirming was to compare code Ns with remainder of sample (codes A-D, presumably white), on documented variables known to differ sharply by race in 1939
case 2 what church
Case 2: What Church?
  • 1941 OPOR survey
  • Sample: Residents of Pittsburgh, Pennsylvania
  • One question of interest: What church do you belong to, i.e, What is your religion?
  • Answers had been coded alphanumerically, but what church corresponded to which code was on documentation that had been lost
slide15
-> tab q13b (If "yes" on a, ask: Which church?)

| Freq. Percent Cum.

------------+-----------------------------------

| 155 12.88 12.88

& | 8 0.67 13.55

0 | 141 11.72 25.27

1 | 669 55.61 80.88

2 | 20 1.66 82.54

3 | 29 2.41 84.95

4 | 87 7.23 92.19

5 | 27 2.24 94.43

6 | 49 4.07 98.50

7 | 9 0.75 99.25

8 | 1 0.08 99.33

9 | 8 0.67 100.00

------------+-----------------------------------

Total | 1,203 100.00

slide17
-> tab q13b (If "yes" on a, ask: Which church?)

| Freq. Percent Cum.

------------+-----------------------------------

| 155 12.88 12.88

& | 8 0.67 13.55

0 | 141 11.72 25.27

1 | 669 55.61 80.88

2 | 20 1.66 82.54

3 | 29 2.41 84.95

4 | 87 7.23 92.19

5 | 27 2.24 94.43

6 | 49 4.07 98.50

7 | 9 0.75 99.25

8 | 1 0.08 99.33

9 | 8 0.67 100.00

------------+-----------------------------------

Total | 1,203 100.00

slide19
-> tab q13b (If "yes" on a, ask: Which church?)

| Freq. Percent Cum.

------------+-----------------------------------

| 155 12.88 12.88

& | 8 0.67 13.55

0 | 141 11.72 25.27

1 | 669 55.61 80.88

2 | 20 1.66 82.54

3 | 29 2.41 84.95

4 | 87 7.23 92.19

5 | 27 2.24 94.43

6 | 49 4.07 98.50

7 | 9 0.75 99.25

8 | 1 0.08 99.33

9 | 8 0.67 100.00

------------+-----------------------------------

Total | 1,203 100.00

slide21
-> tab q13b (If "yes" on a, ask: Which church?)

| Freq. Percent Cum.

------------+-----------------------------------

| 155 12.88 12.88

& | 8 0.67 13.55

0 | 141 11.72 25.27

1 | 669 55.61 80.88

2 | 20 1.66 82.54

3 | 29 2.41 84.95

4 | 87 7.23 92.19

5 | 27 2.24 94.43

6 | 49 4.07 98.50

7 | 9 0.75 99.25

8 | 1 0.08 99.33

9 | 8 0.67 100.00

------------+-----------------------------------

Total | 1,203 100.00

slide23
-> tab q13b (If "yes" on a, ask: Which church?)

| Freq. Percent Cum.

------------+-----------------------------------

| 155 12.88 12.88

& | 8 0.67 13.55

0 | 141 11.72 25.27

1 | 669 55.61 80.88

2 | 20 1.66 82.54

3 | 29 2.41 84.95

4 | 87 7.23 92.19

5 | 27 2.24 94.43

6 | 49 4.07 98.50

7 | 9 0.75 99.25

8 | 1 0.08 99.33

9 | 8 0.67 100.00

------------+-----------------------------------

Total | 1,203 100.00

slide25
-> tab q13b (If "yes" on a, ask: Which church?)

| Freq. Percent Cum.

------------+-----------------------------------

| 155 12.88 12.88

& | 8 0.67 13.55

0 | 141 11.72 25.27

1 | 669 55.61 80.88

2 | 20 1.66 82.54

3 | 29 2.41 84.95

4 | 87 7.23 92.19

5 | 27 2.24 94.43

6 | 49 4.07 98.50

7 | 9 0.75 99.25

8 | 1 0.08 99.33

9 | 8 0.67 100.00

------------+-----------------------------------

Total | 1,203 100.00

slide27
-> tab q13b (If "yes" on a, ask: Which church?)

| Freq. Percent Cum.

------------+-----------------------------------

| 155 12.88 12.88

& | 8 0.67 13.55

0 | 141 11.72 25.27

1 | 669 55.61 80.88

2 | 20 1.66 82.54

3 | 29 2.41 84.95

4 | 87 7.23 92.19

5 | 27 2.24 94.43

6 | 49 4.07 98.50

7 | 9 0.75 99.25

8 | 1 0.08 99.33

9 | 8 0.67 100.00

------------+-----------------------------------

Total | 1,203 100.00

slide29
-> tab q13b (If "yes" on a, ask: Which church?)

| Freq. Percent Cum.

------------+-----------------------------------

| 155 12.88 12.88

& | 8 0.67 13.55

0 | 141 11.72 25.27

1 | 669 55.61 80.88

2 | 20 1.66 82.54

3 | 29 2.41 84.95

4 | 87 7.23 92.19

5 | 27 2.24 94.43

6 | 49 4.07 98.50

7 | 9 0.75 99.25

8 | 1 0.08 99.33

9 | 8 0.67 100.00

------------+-----------------------------------

Total | 1,203 100.00

confirmation
Confirmation!
  • Codebook for 1943 OPOR poll
couple of other examples
Couple of other examples
  • Both from earliest Gallup surveys
    • Case 3: Used presence or absence of a city identification code on undocumented “city” variable to divide “Urban” category on “Rural-Urban” variable into “Big city” and “Small city”
    • Case 4: Used farm residence, gender, and age to split useless “Other and none” category on occupation variable into farmer, housewife, student, and retired