1000 rows from th 2018 CCES Common Content. Contains all columns, retaining the
haven_labelled class. This is doi:10.7910/DVN/ZSBZ7K/H5IDTA originally read
in using read_dta via get_cces_dataverse(). To search for variable by its content,
questionr::lookfor (or rcces::vartab) is a useful option (see example).
cc18_sampAn object of class tbl_df (inherits from tbl, data.frame) with 1000 rows and 526 columns.
"Brian Schaffner; Stephen Ansolabehere; Sam Luks, 2019, "CCES Common Content, 2018", doi:https://doi.org/10.7910, Harvard Dataverse V6.
See the 2018 Codebook in the DOI below for question wording of
each column. To use the harmonized and easier-to-use versions of common variables
like geography, partisan ID, demographics and vote choice, use the cumulative
common content, of which 2018 is a subset. A sample of the cumulative is contained
in this package as ?ccc_samp.
# use questionr::lookfor to search the label and labels
questionr::lookfor(cc18_samp, "Trump")
#> pos variable label col_type missing values
#> 91 CC18_308a Job approval -- ~ dbl+lbl 0 [1] Strongly app~
#> [2] Somewhat app~
#> [3] Somewhat dis~
#> [4] Strongly dis~
#> [5] Not sure
#> [8] skipped
#> [9] not asked
#> 108 CC18_317 President 2016 dbl+lbl 226 [1] Donald Trump
#> [2] Hillary Clin~
#> [3] Someone else
#> [4] I did not ca~
#> [5] I don't reca~
#> [8] skipped
#> [9] not asked
#> 149 CC18_334C Ideological Plac~ dbl+lbl 0 [1] Very Liberal
#> [2] Liberal
#> [3] Somewhat Lib~
#> [4] Middle of th~
#> [5] Somewhat Con~
#> [6] Conservative
#> [7] Very Conserv~
#> [8] Not sure
#> [98] skipped
#> [99] not asked
#> 162 CC18_335 Trump Russia col~ dbl+lbl 0 [1] Yes
#> [2] No
#> [3] Not sure
#> [8] skipped
#> [9] not asked
#> 430 CC18_app_dtrmp_post President Trump ~ dbl+lbl 132 [1] Strongly app~
#> [2] Somewhat app~
#> [3] Somewhat dis~
#> [4] Strongly dis~
#> [5] Not sure
#> [8] skipped
#> [9] not asked
# all data
cc18_samp
#> # A tibble: 1,000 × 526
#> year case_id commonweight commonpostweight vvweight vvweight_post tookpost
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl+lb>
#> 1 2018 415395741 1.47 1.48 NA NA 2 [Yes]
#> 2 2018 414164923 1.33 1.22 1.51 1.29 2 [Yes]
#> 3 2018 412379892 0.641 0.559 0.602 0.594 2 [Yes]
#> 4 2018 414203529 1.35 1.19 1.18 1.17 2 [Yes]
#> 5 2018 412148048 0.870 0.762 0.842 0.742 2 [Yes]
#> 6 2018 412329835 0.949 0.789 1.07 0.983 2 [Yes]
#> 7 2018 417352072 0.688 0.585 0.717 0.716 2 [Yes]
#> 8 2018 414614677 0.814 0.616 NA NA 2 [Yes]
#> 9 2018 416797006 1.12 0.926 0.991 0.929 2 [Yes]
#> 10 2018 412962561 1.05 0.877 0.346 0.372 2 [Yes]
#> # ℹ 990 more rows
#> # ℹ 519 more variables: CCEStake <dbl+lbl>, birthyr <dbl>, gender <dbl+lbl>,
#> # educ <dbl+lbl>, race <dbl+lbl>, race_other <chr>, hispanic <dbl+lbl>,
#> # marstat <dbl+lbl>, multrace_1 <dbl+lbl>, multrace_2 <dbl+lbl>,
#> # multrace_3 <dbl+lbl>, multrace_4 <dbl+lbl>, multrace_5 <dbl+lbl>,
#> # multrace_8 <dbl+lbl>, multrace_97 <dbl+lbl>, multrace_98 <dbl+lbl>,
#> # multrace_99 <dbl+lbl>, CC18_354a_1 <dbl+lbl>, CC18_354a_2 <dbl+lbl>, …