Pew Jewish Americans 2020

The extended survey dataset from Pew Research Center's 2019-2020 Survey of U.S. Jews, fielded November 19, 2019 – June 3, 2020 (n = 5,881). Respondents were drawn from a national, stratified random sample of residential mailing addresses with oversampling of households likely to contain Jewish respondents. The dataset carries 100 jackknife replicate weights alongside the main weight.

Usage

pew_jewish_2020

Format

A data frame with 5,881 rows and 130 variables. Variables extweight1–extweight100 are jackknife replicate weights; the remaining 30 variables are:

extweight

Full-sample base weight. Use for all estimates.

extweight1

Jackknife replicate weight 1 of 100.

extweight2

Jackknife replicate weight 2 of 100.

extweight3

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extweight99

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extweight100

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qkey

Unique respondent identifier.

jewishcat

Jewish identity category: 1 = Jews By Religion, 2 = Jews Of No Religion, 3 = Jewish Background, 4 = Jewish Affinity, 5 = Respondent Not Jewish In Any Way.

finalmode

Collection mode: 1 = Screener And Extended Survey Via Cawi, 2 = Screener And Extended Survey Via Teleform, 3 = Screener Via Cawi, Extended Survey Via Teleform.

region

Census region: 1 = Northeast, 2 = Midwest, 3 = South, 4 = West.

sexask

Sex: 1 = Male, 2 = Female, 99 = Not Answered.

age4cat

Age: 1 = 18-29, 2 = 30-49, 3 = 50-64, 4 = 65+; 999 = No Answer.

educ4cat

Education: 1 = High School Or Less, 2 = Some College, 3 = College Graduate, 4 = Postgrad Degree; 99 = No Answer.

religmod

Current religion (24 categories including Jewish subgroups and combinations).

hisp

Hispanic origin: 1 = Yes, 2 = No, 99 = Not Answered.

racecmb

Race (5 categories).

racethn

Race-ethnicity (4 categories).

presapp

Presidential approval (Trump): 1 = Strongly Approve, 2 = Somewhat Approve, 3 = Somewhat Disapprove, 4 = Strongly Disapprove, 99 = Not Answered.

track

Right track/wrong track: 1 = Generally Headed In The Right Direction, 2 = Off On The Wrong Track, 99 = Not Answered.

satisfpersmod

Personal life satisfaction: 1 = Excellent, 2 = Good, 3 = Only Fair, 4 = Poor, 99 = Not Answered.

localrating

Community as a place to live: 1 = Excellent, 2 = Good, 3 = Only Fair, 4 = Poor, 99 = Not Answered.

relconsider_a

Jewish. Battery 1: religious identity (select-all-that-apply). See Details for question text.

relconsider_b

Catholic. Battery 1: religious identity.

relconsider_c

Mormon. Battery 1: religious identity.

relconsider_d

Muslim. Battery 1: religious identity.

relraised_a

Jewish. Battery 2: religious background (select-all-that-apply). See Details for question text.

relraised_b

Catholic. Battery 2: religious background.

relraised_c

Mormon. Battery 2: religious background.

relraised_d

Muslim. Battery 2: religious background.

discrim_a

Evangelical Christians. Battery 3: discrimination perceptions (rating scale). See Details for question text.

discrim_b

Muslims. Battery 3: discrimination perceptions.

discrim_c

Jews. Battery 3: discrimination perceptions.

discrim_d

Blacks. Battery 3: discrimination perceptions.

discrim_e

Hispanics. Battery 3: discrimination perceptions.

discrim_f

Gays and lesbians. Battery 3: discrimination perceptions.

Source

Pew Research Center. Jewish Americans in 2020 (Extended Dataset). https://www.pewresearch.org/datasets/ (free account required to download raw data; the processed .rda is included in the package). Prepared by data-raw/prepare-pew-jewish-2020.R.

Details

Survey design: Jackknife replication — use as_survey_rep() with all 100 replicate weights:

svy <- as_survey_rep(
  pew_jewish_2020,
  weights    = extweight,
  repweights = extweight1:extweight100,
  type       = "JK1"
)

Jewish identity classification: The jewishcat variable classifies respondents into five mutually exclusive categories used in the published Pew report. Use jewishcat rather than constructing your own classification from the raw religion variables.

Battery question stems:

• Battery 1 (relconsider_a–relconsider_d): "ASIDE from religion, do you consider yourself to be any of the following in any way (for example ethnically, culturally or because of your family's background)?" Values: 1 = Yes, Consider Myself This, 2 = No, Do Not Consider Myself This, 99 = Refused.

• Battery 2 (relraised_a–relraised_d): "Please indicate whether you were raised in any of the following traditions or had a parent from any of the following backgrounds." Values: 1 = Yes, Was Raised In This Tradition Or Had A Parent From This Background, 2 = No, Was Not Raised In This Tradition And Did Not Have A Parent From This Background, 99 = Refused.

• Battery 3 (discrim_a–discrim_f): "Please tell us how much discrimination there is against each of these groups in our society today." Values: 1 = A Lot, 2 = Some, 3 = Not Much, 4 = None At All, 99 = Not Answered.

Metadata: All columns carry variable labels and value labels as R attributes from the original Stata file. The three battery variable groups additionally carry a "question_preface" attribute with the shared question stem. All three attribute types are automatically extracted into surveycore's metadata system when you call as_survey_rep().

• Variable labels ("label" attribute): A human-readable description of each column — for battery items this is the unique item text (e.g., "Jewish"). Example: attr(pew_jewish_2020$relconsider_a, "label") returns "Jewish".

• Value labels ("labels" attribute): A named numeric vector mapping each code to its meaning. Example: attr(pew_jewish_2020$relconsider_a, "labels") returns c("Yes, Consider Myself This" = 1, "No, Do Not Consider Myself This" = 2, Refused = 99).

• Question preface ("question_preface" attribute): The shared question stem for each battery group. Example: attr(pew_jewish_2020$discrim_a, "question_preface") returns "Please tell us how much discrimination there is against each of these groups in our society today.".

Examples

# Design variables
head(pew_jewish_2020[, c("qkey", "extweight", "jewishcat")])
#> # A tibble: 6 × 3
#>       qkey extweight jewishcat
#>      <dbl>     <dbl>     <dbl>
#> 1 10000051      271.         1
#> 2 10000104      186.         1
#> 3 10000113      182.         2
#> 4 10000130      308.         2
#> 5 10000180      165.         2
#> 6 10000257      173.         1

# Confirm 100 replicate weights are present
sum(grepl("^extweight[0-9]", names(pew_jewish_2020)))
#> [1] 100

# Inspect variable label (unique item text for battery variable)
attr(pew_jewish_2020$discrim_a, "label")
#> [1] "Evangelical Christians"

# Inspect value labels
attr(pew_jewish_2020$discrim_a, "labels")
#>        A Lot         Some     Not Much  None At All Not Answered 
#>            1            2            3            4           99 

# Inspect question preface (shared stem across the battery)
attr(pew_jewish_2020$discrim_a, "question_preface")
#> [1] "Please tell us how much discrimination there is against each of these groups in our society today."

# Jewish identity distribution (use jewishcat, not raw religion vars)
table(pew_jewish_2020$jewishcat)
#> 
#>    1    2    3    4 
#> 3836  882  802  361