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Measurement and Data Analysis for Religious Variables

Description: There are four exercises that use data from the 2018 General Social Survey to explore topics in religion. These exercises could be used to help students learn the principles of quantitative analysis with a focus on religion. Topics include religious preference, religiosity, fundamentalism, conceptualization, measurement, reliability, validity, hypotheses, and spuriousness. These exercises refer students to the relevant parts of an...

Keywords:: spuriousness, crosstabulation, SPSS, quantitative analysis, religion, statistics

Disciplines:

Mathematics and Statistics / Statistics and Probability

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Material Type:: Assignment
Date Added to MERLOT:: September 22, 2015
Date Modified in MERLOT:: May 14, 2020
Author:: Ed Nelson, California State University, Fresno
Submitter:: Ed Nelson
Primary Audience:: College General Ed, College Lower Division, College Upper Division, Graduate School, Professional
Technical Format:: Document (e.g. Word), Website

Mobile Compatibility:: Not specified at this time
Technical Requirements:: Requires SPSS (any version) and ability to read Microsoft Office docx files
Language:: English
Cost Involved:: No
Source Code Available:: No
Accessibility Information Available:: No
Creative Commons:: This work is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International