2015
DOI: 10.1080/02763877.2015.1057682
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Commonality Analysis: A Reference Librarian’s Tool for Decomposing Regression Effects

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Cited by 3 publications
(1 citation statement)
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“…Next, in an unplanned analysis, we examined whether lifetime or non-lifetime event internalization was a stronger predictor of psychosocial identity for the younger cohort only. To answer this question, we conducted a commonality analysis (Ray-Mukherjee et al, 2014; Reio et al, 2015), which used multiple regression to decompose the total variance explained by the lifetime and non-lifetime internalization variables into common and unique effects. In our case, the total variance explained by our predictors could be partitioned into three components: the unique effect of lifetime internalization, the unique effect of non-lifetime internalization, and the common effect shared by both variables.…”
Section: Resultsmentioning
confidence: 99%
“…Next, in an unplanned analysis, we examined whether lifetime or non-lifetime event internalization was a stronger predictor of psychosocial identity for the younger cohort only. To answer this question, we conducted a commonality analysis (Ray-Mukherjee et al, 2014; Reio et al, 2015), which used multiple regression to decompose the total variance explained by the lifetime and non-lifetime internalization variables into common and unique effects. In our case, the total variance explained by our predictors could be partitioned into three components: the unique effect of lifetime internalization, the unique effect of non-lifetime internalization, and the common effect shared by both variables.…”
Section: Resultsmentioning
confidence: 99%