This article is part two of our four part series on basic statistical analytical methods. Using a case method presentation, the basic essentials of factor analysis is described.

Data Interpretation, Statistical↗

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Research methodology. Part III: understanding multiple correlation analysis and multiple regression.

This is part III of a case series on research methodology with additional case demographic information. The relationship of a dependent variable with two or more independent variables is explained and used to illustrate multiple correlation and multiple regression.

Data Interpretation, Statistical↗

PubMedDate not supplied

Research methodology. Part IV: Understanding canonical correlation analysis.

Canonical correlation is presented as a technique to determine how sets of dependent variables are related with sets of independent variables. Canonical correlation reveals the strength of the relationship between the clusters using case data as illustration, three pairs of clusters (factors or profiles) emerged. Interpretation of the clusters are presented. As indicated in the case presentation, Canonical Correlation (CA) is the fourth in a series of methodologies selected for illustration as precursors to advanced statistics and modeling. In this paper, background will be given, a schematic example presented, sample size and CA, SPSS procedure to perform CA, and interpretation of CA and possible uses of CA in nursing research.

Analysis of Variance↗