2003
DOI: 10.1080/07481756.2003.12069076
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Hierarchical Multiple Regression in Counseling Research: Common Problems and Possible Remedies

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Cited by 286 publications
(208 citation statements)
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“…This allowed the researcher to determine the independent effect of the environmental variables on retention rates. Hierarchical regression allows for the researcher to gauge the additional importance of subsequent blocks of variables as they are entered into the analysis, after controlling for the set of variables entered in the previous blocks (Pallant, 2007;Petrocelli, 2003).…”
Section: Resultsmentioning
confidence: 99%
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“…This allowed the researcher to determine the independent effect of the environmental variables on retention rates. Hierarchical regression allows for the researcher to gauge the additional importance of subsequent blocks of variables as they are entered into the analysis, after controlling for the set of variables entered in the previous blocks (Pallant, 2007;Petrocelli, 2003).…”
Section: Resultsmentioning
confidence: 99%
“…While the overarching purpose of this study was not to estimate retention rates based on student and institutional characteristics, but to determine the relative impact of institutional characteristics on student retention, the standardized coefficients for each variable have been presented, as they do inform the reader about the direction and relative importance or effect of each variable within each model. Based on the advice of Petrocelli (2003), each variable coefficient was discussed only for the first step in which it was entered. This provided the information necessary to judge the variable's impact after controlling for the variables entered in the previous steps.…”
Section: Resultsmentioning
confidence: 99%
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“…All variables were entered into the regression model in a specified order so that each predictor contributed to the explanatory variance of the dependent variable (i.e., alcohol use severity) after controlling for the variance explained by the previous variables (Petrocelli, 2003). Predictor variables were grouped into three broad domains and entered in the following order: (1) age, gender, academic level, marital status, parents’ education level, perception of parents’ alcohol consumption, and symptoms of depression; (2) behavioral acculturation and enculturation; and (3) cultural congruity.…”
Section: Methodsmentioning
confidence: 99%
“…Based on results of our between-group comparisons, we selected sexual identity and educational level as control variables entered in the first step of the model. Given that CSA logically precedes other risk factors during men’s lifetimes (logic of causal priority; Petrocelli, 2003), we chose to enter CSA severity prior to IH and numbers of male sexual partners. Finally, given prior literature suggesting that problematic alcohol use may be a primary risk factor for ASA and a potential consequence of CSA and IH, we entered history of past alcohol problems as the final step in our regression analysis.…”
Section: Methodsmentioning
confidence: 99%