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- Title
SPSS and SAS programs for comparing Pearson correlations and OLS regression coefficients.
- Authors
Weaver, Bruce; Wuensch, Karl
- Abstract
Several procedures that use summary data to test hypotheses about Pearson correlations and ordinary least squares regression coefficients have been described in various books and articles. To our knowledge, however, no single resource describes all of the most common tests. Furthermore, many of these tests have not yet been implemented in popular statistical software packages such as SPSS and SAS. In this article, we describe all of the most common tests and provide SPSS and SAS programs to perform them. When they are applicable, our code also computes 100 × (1 − α)% confidence intervals corresponding to the tests. For testing hypotheses about independent regression coefficients, we demonstrate one method that uses summary data and another that uses raw data (i.e., Potthoff analysis). When the raw data are available, the latter method is preferred, because use of summary data entails some loss of precision due to rounding.
- Subjects
LEAST squares; STATISTICAL correlation; REGRESSION analysis; STATISTICAL software; COEFFICIENTS (Statistics)
- Publication
Behavior Research Methods, 2013, Vol 45, Issue 3, p880
- ISSN
1554-351X
- Publication type
Article
- DOI
10.3758/s13428-012-0289-7