January 17, 2014

For Stata 12 or older, a limitation exists in Stata’s ability to handle large amounts of text. A Stata system (.dta) data file is not included in the current release of this study. However the Stata dictionary (.dct file) in the current release was prepared using Stata 12 and, when used with the release raw (.txt) data will produce a .dta file with truncated texts. The SPSS system (.sav) data file and the raw ASCII (.txt) data do not have truncated texts.

Researchers who use Stata should be aware of this issue and contact us if they have any questions. We will provide an updated release in the future. That release will extract the text variables from the main data file and make them available in a standalone file in text-friendly format. This will allow for easier analysis of that data and will avoid the issue of truncation.

November 22, 2013

In the code used to create the IAT summary scores, the following section of the script contains an error:

*Mark trials with latency > 4000 ms (to provide a count of these) .
COMPUTE flag_4K = 0 .
IF (RT GT 10000) flag_4K = 1 .

In the third line, 10000 should be 4000. The corrected script would be as follows:

*Mark trials with latency > 4000 ms (to provide a count of these) .
COMPUTE flag_4K = 0 .
IF (RT GT 4000) flag_4K = 1 .

The syntax file and data file (zipped here ) contain the erroneous version of the flag_4K variable. This error does not affect the IAT scores. Analysts who wish to use the flag_4K variable should re-compute that variable using the corrected code above.

We thank Tobias Stark from Stanford University for noting this error.

July 10, 2012
Seven respondents completed the same version of the Affect Misattribution Procedure (AMP) on both waves 9 and 10. All respondents should have been assigned different versions on the two waves. The case IDs of the affected respondents are 3230, 14648, 15759, 17978, 20793, 21470 and 24562. (An additional 26 respondents were assigned to the same version of the AMP on both waves but did not complete at least one of the waves and thus did not repeat an AMP.)

On wave 11, 25 respondents who were in the first recruitment cohort were asked six political knowledge questions (w11wv7 through w11wv12) that were intended only for members of the second cohort. The affected cases can be identified by cross-tabulating the cohort variable (reccohort) and the knowledge variables. Their case IDs are 95, 1237, 2068, 2272, 2499, 3156, 4100, 5214, 5619, 6331, 6477, 7710, 7725, 7910, 8416, 8706, 8919, 9374, 9432, 10987, 11278, 11608, 12946, 13214, and 13685.

We thank Timothy J. Ryan from the University of Michigan for noting these errors.

February 8, 2011
A zip file provides data and documentation for 17 added summary measures, including an overall summary score, for the Wave 19 IAT (Implicit Association Test) module of the ANES 2008-2009 Panel. An SPSS portable (.por) data file containing these variables is mergeable with the study’s curent release. Also included is a file of the SPSS (.sps file) programming used to create these summary variables, plus a README text (.txt) file.

Please scroll up to the notice from November 22, 2013 for information on the IAT error.

November 19, 2010
Two problems have been noted with the variables w11ze3a and w11ze3b, one concerning the variable labels and one concerning the missing data codes.

LABELS

The variable label descriptions for w11ze3a and w11ze3b are reversed in the 20100903 version of the dataset.

The correct description for w11ze3a is “How many more opinions does R have”.
The correct description for w11ze3b is “How many fewer opinions does R have”.

In SPSS the labels can be fixed by running the following code:

var lab w11ze3a “w11ze3a. How many more opinions does R have”.
var lab w11ze3b “w11ze3b. How many fewer opinions does R have”.

NON-RESPONSE CODES

The nonresponse codes for w11ze3a and w11ze3b fail to differentiate item nonresponse from cases that legitimately skipped the question because it was inapplicable. ze3a and ze3b show data from followup questions to ze2 (“Compared to the average person do you have fewer opinions about whether things are good or bad, about the same number of opinions, or more opinions?”). ze3a should have the -1 “inapplicable” code for respondents whose answers to ze2 were anything but “more.” ze3b should have the -1 code for respondents whose answers to ze2 were anything but “fewer.”

The following SPSS code will fix the non-response codes.

missing values w11ze2 w11ze3a w11ze3b ().
if w11ze2=-7 or w11ze2=1 or w11ze2=2 w11ze3a=-1.
if w11ze2=-7 or w11ze2=2 or w11ze2=3 w11ze3b=-1.
exe.
missing values w11ze2 w11ze3a w11ze3b (-9 thru -1).

September 21, 2010
The variable label for w17ws1 should be “w17ws1. Approve or disapprove of Obama job as president” (not “w17ws1. Approve or disapprove of Obama foreign relations” as appeared on the Sept 3 release file). This can be fixed by running the following SPSS code:

var lab w17ws1 “w17ws1. Approve or disapprove of Obama job as president”.