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.
pew_jewish_2020A data frame with 5,881 rows and 130 variables. Variables
extweight1–extweight100 are jackknife replicate weights; the remaining
30 variables are:
Full-sample base weight. Use for all estimates.
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Unique respondent identifier.
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.
Collection mode: 1 = Screener And Extended Survey
Via Cawi, 2 = Screener And Extended Survey Via Teleform,
3 = Screener Via Cawi, Extended Survey Via Teleform.
Census region: 1 = Northeast, 2 = Midwest,
3 = South, 4 = West.
Sex: 1 = Male, 2 = Female, 99 = Not Answered.
Age: 1 = 18-29, 2 = 30-49, 3 = 50-64, 4 = 65+;
999 = No Answer.
Education: 1 = High School Or Less,
2 = Some College, 3 = College Graduate, 4 = Postgrad Degree;
99 = No Answer.
Current religion (24 categories including Jewish subgroups and combinations).
Hispanic origin: 1 = Yes, 2 = No, 99 = Not Answered.
Race (5 categories).
Race-ethnicity (4 categories).
Presidential approval (Trump): 1 = Strongly Approve,
2 = Somewhat Approve, 3 = Somewhat Disapprove,
4 = Strongly Disapprove, 99 = Not Answered.
Right track/wrong track:
1 = Generally Headed In The Right Direction,
2 = Off On The Wrong Track, 99 = Not Answered.
Personal life satisfaction: 1 = Excellent,
2 = Good, 3 = Only Fair, 4 = Poor, 99 = Not Answered.
Community as a place to live: 1 = Excellent,
2 = Good, 3 = Only Fair, 4 = Poor, 99 = Not Answered.
Jewish. Battery 1: religious identity (select-all-that-apply). See Details for question text.
Catholic. Battery 1: religious identity.
Mormon. Battery 1: religious identity.
Muslim. Battery 1: religious identity.
Jewish. Battery 2: religious background (select-all-that-apply). See Details for question text.
Catholic. Battery 2: religious background.
Mormon. Battery 2: religious background.
Muslim. Battery 2: religious background.
Evangelical Christians. Battery 3: discrimination perceptions (rating scale). See Details for question text.
Muslims. Battery 3: discrimination perceptions.
Jews. Battery 3: discrimination perceptions.
Blacks. Battery 3: discrimination perceptions.
Hispanics. Battery 3: discrimination perceptions.
Gays and lesbians. Battery 3: discrimination perceptions.
Survey design: Jackknife replication — use as_survey_replicate()
with all
100 replicate weights:
svy <- as_survey_replicate(
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_replicate().
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$discrim_a, "question_preface") returns
"Please tell us how much discrimination there is against each of these groups in our society today.".
# Design variables
head(pew_jewish_2020[, c("qkey", "extweight", "jewishcat")])
# Confirm 100 replicate weights are present
sum(grepl("^extweight[0-9]", names(pew_jewish_2020)))
# Inspect variable label (unique item text for battery variable)
attr(pew_jewish_2020$discrim_a, "label")
# Inspect value labels
attr(pew_jewish_2020$discrim_a, "labels")
# Inspect question preface (shared stem across the battery)
attr(pew_jewish_2020$discrim_a, "question_preface")
# Jewish identity distribution (use jewishcat, not raw religion vars)
table(pew_jewish_2020$jewishcat)
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