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Learn How to Run, Interpret, and Report a Multiple Regression in SPSS Using Data from Madan et al. (2019)

Peter J Allen, Shilpa Madan, Shankha Basu, Aneeta Rattan, Krishna Savani

Research output: Other contribution

Abstract

Multiple regression is a statistical technique used to predict (or explain) variance in an interval or ratio level criterion variable with two or more predictor variables. This Sage Dataset will teach you how to run, interpret, and report a multiple regression in SPSS using data from Study 2 in Madan et al. (2019). In this study, Madan et al. (2019) investigated the extent to which participants’ support for resetting refugees could be predicted by their self-reported mind-set beliefs. Following a conceptual introduction to multiple regression, we will reproduce Madan and colleagues’ (2019) analyses in SPSS, interpret and report the results, and assess the extent to which they support the researchers’ predictions.
Original languageEnglish
TypeSage Research Methods Dataset
PublisherSAGE Publications Ltd
Number of pages28
ISBN (Electronic)9781036215996
Publication statusPublished - 11 Jun 2025

Publication series

NameSage Research Methods
PublisherSage

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 16 - Peace, Justice and Strong Institutions
    SDG 16 Peace, Justice and Strong Institutions

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