% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{pew_jewish_2020}
\alias{pew_jewish_2020}
\title{Pew Jewish Americans 2020}
\format{
A data frame with 5,881 rows and 130 variables. Variables
\code{extweight1}–\code{extweight100} are jackknife replicate weights; the remaining
30 variables are:
\describe{
\item{extweight}{Full-sample base weight. Use for all estimates.}
\item{extweight1}{Jackknife replicate weight 1 of 100.}
\item{extweight2}{Jackknife replicate weight 2 of 100.}
\item{extweight3}{Jackknife replicate weight 3 of 100.}
\item{extweight4}{Jackknife replicate weight 4 of 100.}
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\item{extweight10}{Jackknife replicate weight 10 of 100.}
\item{extweight11}{Jackknife replicate weight 11 of 100.}
\item{extweight12}{Jackknife replicate weight 12 of 100.}
\item{extweight13}{Jackknife replicate weight 13 of 100.}
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\item{extweight15}{Jackknife replicate weight 15 of 100.}
\item{extweight16}{Jackknife replicate weight 16 of 100.}
\item{extweight17}{Jackknife replicate weight 17 of 100.}
\item{extweight18}{Jackknife replicate weight 18 of 100.}
\item{extweight19}{Jackknife replicate weight 19 of 100.}
\item{extweight20}{Jackknife replicate weight 20 of 100.}
\item{extweight21}{Jackknife replicate weight 21 of 100.}
\item{extweight22}{Jackknife replicate weight 22 of 100.}
\item{extweight23}{Jackknife replicate weight 23 of 100.}
\item{extweight24}{Jackknife replicate weight 24 of 100.}
\item{extweight25}{Jackknife replicate weight 25 of 100.}
\item{extweight26}{Jackknife replicate weight 26 of 100.}
\item{extweight27}{Jackknife replicate weight 27 of 100.}
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\item{extweight29}{Jackknife replicate weight 29 of 100.}
\item{extweight30}{Jackknife replicate weight 30 of 100.}
\item{extweight31}{Jackknife replicate weight 31 of 100.}
\item{extweight32}{Jackknife replicate weight 32 of 100.}
\item{extweight33}{Jackknife replicate weight 33 of 100.}
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\item{extweight35}{Jackknife replicate weight 35 of 100.}
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\item{extweight49}{Jackknife replicate weight 49 of 100.}
\item{extweight50}{Jackknife replicate weight 50 of 100.}
\item{extweight51}{Jackknife replicate weight 51 of 100.}
\item{extweight52}{Jackknife replicate weight 52 of 100.}
\item{extweight53}{Jackknife replicate weight 53 of 100.}
\item{extweight54}{Jackknife replicate weight 54 of 100.}
\item{extweight55}{Jackknife replicate weight 55 of 100.}
\item{extweight56}{Jackknife replicate weight 56 of 100.}
\item{extweight57}{Jackknife replicate weight 57 of 100.}
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\item{extweight59}{Jackknife replicate weight 59 of 100.}
\item{extweight60}{Jackknife replicate weight 60 of 100.}
\item{extweight61}{Jackknife replicate weight 61 of 100.}
\item{extweight62}{Jackknife replicate weight 62 of 100.}
\item{extweight63}{Jackknife replicate weight 63 of 100.}
\item{extweight64}{Jackknife replicate weight 64 of 100.}
\item{extweight65}{Jackknife replicate weight 65 of 100.}
\item{extweight66}{Jackknife replicate weight 66 of 100.}
\item{extweight67}{Jackknife replicate weight 67 of 100.}
\item{extweight68}{Jackknife replicate weight 68 of 100.}
\item{extweight69}{Jackknife replicate weight 69 of 100.}
\item{extweight70}{Jackknife replicate weight 70 of 100.}
\item{extweight71}{Jackknife replicate weight 71 of 100.}
\item{extweight72}{Jackknife replicate weight 72 of 100.}
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\item{extweight75}{Jackknife replicate weight 75 of 100.}
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\item{extweight80}{Jackknife replicate weight 80 of 100.}
\item{extweight81}{Jackknife replicate weight 81 of 100.}
\item{extweight82}{Jackknife replicate weight 82 of 100.}
\item{extweight83}{Jackknife replicate weight 83 of 100.}
\item{extweight84}{Jackknife replicate weight 84 of 100.}
\item{extweight85}{Jackknife replicate weight 85 of 100.}
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\item{extweight94}{Jackknife replicate weight 94 of 100.}
\item{extweight95}{Jackknife replicate weight 95 of 100.}
\item{extweight96}{Jackknife replicate weight 96 of 100.}
\item{extweight97}{Jackknife replicate weight 97 of 100.}
\item{extweight98}{Jackknife replicate weight 98 of 100.}
\item{extweight99}{Jackknife replicate weight 99 of 100.}
\item{extweight100}{Jackknife replicate weight 100 of 100.}
\item{qkey}{Unique respondent identifier.}
\item{jewishcat}{Jewish identity category: \code{1} = Jews By Religion,
\code{2} = Jews Of No Religion, \code{3} = Jewish Background,
\code{4} = Jewish Affinity, \code{5} = Respondent Not Jewish In Any Way.}
\item{finalmode}{Collection mode: \code{1} = Screener And Extended Survey
Via Cawi, \code{2} = Screener And Extended Survey Via Teleform,
\code{3} = Screener Via Cawi, Extended Survey Via Teleform.}
\item{region}{Census region: \code{1} = Northeast, \code{2} = Midwest,
\code{3} = South, \code{4} = West.}
\item{sexask}{Sex: \code{1} = Male, \code{2} = Female, \code{99} = Not Answered.}
\item{age4cat}{Age: \code{1} = 18-29, \code{2} = 30-49, \code{3} = 50-64, \code{4} = 65+;
\code{999} = No Answer.}
\item{educ4cat}{Education: \code{1} = High School Or Less,
\code{2} = Some College, \code{3} = College Graduate, \code{4} = Postgrad Degree;
\code{99} = No Answer.}
\item{religmod}{Current religion (24 categories including Jewish
subgroups and combinations).}
\item{hisp}{Hispanic origin: \code{1} = Yes, \code{2} = No, \code{99} = Not Answered.}
\item{racecmb}{Race (5 categories).}
\item{racethn}{Race-ethnicity (4 categories).}
\item{presapp}{Presidential approval (Trump): \code{1} = Strongly Approve,
\code{2} = Somewhat Approve, \code{3} = Somewhat Disapprove,
\code{4} = Strongly Disapprove, \code{99} = Not Answered.}
\item{track}{Right track/wrong track:
\code{1} = Generally Headed In The Right Direction,
\code{2} = Off On The Wrong Track, \code{99} = Not Answered.}
\item{satisfpersmod}{Personal life satisfaction: \code{1} = Excellent,
\code{2} = Good, \code{3} = Only Fair, \code{4} = Poor, \code{99} = Not Answered.}
\item{localrating}{Community as a place to live: \code{1} = Excellent,
\code{2} = Good, \code{3} = Only Fair, \code{4} = Poor, \code{99} = Not Answered.}
\item{relconsider_a}{Jewish. Battery 1: religious identity
(select-all-that-apply). See Details for question text.}
\item{relconsider_b}{Catholic. Battery 1: religious identity.}
\item{relconsider_c}{Mormon. Battery 1: religious identity.}
\item{relconsider_d}{Muslim. Battery 1: religious identity.}
\item{relraised_a}{Jewish. Battery 2: religious background
(select-all-that-apply). See Details for question text.}
\item{relraised_b}{Catholic. Battery 2: religious background.}
\item{relraised_c}{Mormon. Battery 2: religious background.}
\item{relraised_d}{Muslim. Battery 2: religious background.}
\item{discrim_a}{Evangelical Christians. Battery 3: discrimination
perceptions (rating scale). See Details for question text.}
\item{discrim_b}{Muslims. Battery 3: discrimination perceptions.}
\item{discrim_c}{Jews. Battery 3: discrimination perceptions.}
\item{discrim_d}{Blacks. Battery 3: discrimination perceptions.}
\item{discrim_e}{Hispanics. Battery 3: discrimination perceptions.}
\item{discrim_f}{Gays and lesbians. Battery 3: discrimination
perceptions.}
}
}
\source{
Pew Research Center. Jewish Americans in 2020 (Extended Dataset).
\url{https://www.pewresearch.org/datasets/} (free account required to
download raw data; the processed \code{.rda} is included in the package).
Prepared by \verb{data-raw/prepare-pew-jewish-2020.R}.
}
\usage{
pew_jewish_2020
}
\description{
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.
}
\details{
\strong{Survey design:} Jackknife replication — use \code{as_survey_replicate()}
with all
100 replicate weights:

\if{html}{\out{<div class="sourceCode r">}}\preformatted{svy <- as_survey_replicate(
  pew_jewish_2020,
  weights    = extweight,
  repweights = extweight1:extweight100,
  type       = "JK1"
)
}\if{html}{\out{</div>}}

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

\strong{Battery question stems:}
\itemize{
\item \strong{Battery 1} (\code{relconsider_a}–\code{relconsider_d}): \code{"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: \code{1} = Yes, Consider Myself This, \code{2} = No, Do Not Consider
Myself This, \code{99} = Refused.
\item \strong{Battery 2} (\code{relraised_a}–\code{relraised_d}): \code{"Please indicate whether you were raised in any of the following traditions or had a parent from any of the following backgrounds."} Values: \code{1} = Yes, Was Raised In
This Tradition Or Had A Parent From This Background, \code{2} = No, Was Not
Raised In This Tradition And Did Not Have A Parent From This Background,
\code{99} = Refused.
\item \strong{Battery 3} (\code{discrim_a}–\code{discrim_f}): \code{"Please tell us how much discrimination there is against each of these groups in our society today."} Values: \code{1} = A Lot, \code{2} = Some, \code{3} = Not Much,
\code{4} = None At All, \code{99} = Not Answered.
}

\strong{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
\code{"question_preface"} attribute with the shared question stem. All three
attribute types are automatically extracted into surveycore's metadata
system when you call \code{as_survey_replicate()}.
\itemize{
\item \strong{Variable labels} (\code{"label"} attribute): A human-readable description of
each column — for battery items this is the unique item text (e.g.,
\code{"Jewish"}). Example: \code{attr(pew_jewish_2020$relconsider_a, "label")}
returns \code{"Jewish"}.
\item \strong{Value labels} (\code{"labels"} attribute): A named numeric vector mapping
each code to its meaning. Example:
\code{attr(pew_jewish_2020$relconsider_a, "labels")} returns
\code{c("Yes, Consider Myself This" = 1, "No, Do Not Consider Myself This" = 2, Refused = 99)}.
\item \strong{Question preface} (\code{"question_preface"} attribute): The shared question
stem for each battery group. Example:
\code{attr(pew_jewish_2020$discrim_a, "question_preface")} returns
\code{"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")])

# 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)
}
\keyword{datasets}
