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Learn About Multiple Regression in SPSS With Data From the Race Implicit Attitudes Test (2012)

By: Nick Allum Published: 2015 | Product: SAGE Research Methods Datasets

This dataset is designed for teaching multiple regression. The dataset is a subset of data derived from the Race Implicit Attitudes Test 2012 (IAT2012), and the example examines the relationship between political ideology and a measure of implicit racism with self-reported attitudes to African Americans. The dataset file is accompanied by a teaching guide, a student guide, and a how-to guide for SPSS.

Prerequisites: Simple regression
Data Type: Survey Experiment
Software Guide: SPSS
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You can preview and download the dataset from this tab. The dataset is available in multiple file formats, compatible with most common software packages. You can also view and download the Codebook, which provides information on the structure, contents, and layout of the dataset.

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In this tab you will find guides on using this dataset. The Teaching Guide is designed for faculty who are teaching research methods and statistics, with suggestions on how to use the dataset in lab exercises, in homework assignments and as exam questions. The Student Guide introduces the method for students, and can be used in teaching to provide students with an introductory overview of the method or test. The How-to Guide shows how to perform the technique or test using data analysis software.

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About This Dataset
Data Source Citation

Xu, K., Nosek, B. A., & Greenwald, A. G. (2014). Race IAT 2002-2013. Open Science Framework [Dataset]. Retrieved from:

Full title of originating dataset

Race IAT 2002–2013

Data author(s) and affiliations

Kaiyuan Xu, University of Washington, US

Brian Nosek, University of Virginia Center for Open Science, US

Anthony Greenwald, University of Washington, US

First publication date

18 March 2014

Sample/sampling procedures

Online opt-in

Data collection dates

23 December 2002 to 31 December 2012

Time frame of analysis


Unit of analysis


Location covered by data


Links to SRM content
  • Wolf, C., & Best, H. (2014). Linear regression. In H. Best, & C. Wolf (Eds.), The SAGE handbook of regression analysis and causal inference (pp. 57–83). London: SAGE Publications Ltd. doi:
  • Kahane, L. H. (2008). Multiple regression analysis. In Regression basics. (2nd ed., pp. 59–79). Thousand Oaks, CA: SAGE Publications, Inc. doi:
  • Stolzenberg, R. (2004). Multiple regression analysis. In M. Hardy, & A. Bryman (Eds.), Handbook of data analysis (pp. 165–208). London, England: SAGE Publications, Ltd. doi:
List of variables


Overall IAT D score


Thermology - African Americans


Thermology - European Americans


Political ID with a 7-point scale

Methods Map
Multiple regression

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