Figure 2 results were drawn from the SPSS UNIANOVA command, which 'provides regression analysis and analysis of variance for one dependent variable by one or more factors and/or variables,' according to the SPSS web entry for the UNIANOVA command. Census Bureau Reports Residents Now Move at a Higher Rate').Ĭraig and Richeson generated a weight variable that retained the original post-stratification weights for non-Hispanic white respondents but changed the weight to 0.001 for respondents who were not non-Hispanic white. Majority') rated Blacks/African Americans, Latinos/Hispanics, and Asian-Americans lower on the feeling thermometers at a statistically significant level than whites in the control condition (who were exposed to a news article titled, 'U.S. The article text confirms what the figure shows: whites in the racial shift condition (who were exposed to a news article titled, 'In a Generation, Racial Minorities May Be the U.S. Data in this post are from Craig and Richeson (2014), downloaded from the TESS archives SPSS commands are from personal communication with Maureen Craig, who kindly and quickly shared her replication code.įigure 2 in Craig and Richeson's 2014 Personality and Social Psychology Bulletin article depicts point estimates and standard errors for racial feeling thermometer ratings made by white non-Hispanic respondents.

This post provides more information on weighting in the base module of SPSS. My previous post discussed p-values in SPSS and Stata for probability-weighted data.

Unianova spss code