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Basic Statistics in Multivariate Analysis$
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Karen A. Randolph and Laura L. Myers

Print publication date: 2013

Print ISBN-13: 9780199764044

Published to Oxford Scholarship Online: May 2013

DOI: 10.1093/acprof:oso/9780199764044.001.0001

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Bivariate Statistical Methods

Bivariate Statistical Methods

Chapter:
(p.69) 4 Bivariate Statistical Methods
Source:
Basic Statistics in Multivariate Analysis
Author(s):

Karen A. Randolph

Laura L. Myers

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780199764044.003.0004

Chapter 4 reviews bivariate statistical methods used to determine the probability that a relationship found between two variables is based on sampling error. The focus of this review is on the methods most commonly used in social work research, including the chi-square test, the one-sample t-test, the dependent samples t-test, the independent samples t-test, and linear correlation. The chapter explains the uses of each method and the formulas for calculating the related statistics. A detailed example is included to show how to compute each statistical test, as well as directions on how to compute the statistic using SPSS. Finally, examples of each method from the social work research literature are described briefly.

Keywords:   bivariate, chi-square test, dependent samples t-test, independent samples t-test, linear correlation, one-sample t-test

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