Protective behavioral strategies (PBS), or drinking control strategies, are specific behaviors one can utilize to minimize the harmful consequences of alcohol consumption. As there is not currently a standard measure of PBS, the goal of the present study was to examine the factor structure and concurrent validity of three scales designed to assess PBS: Protective Behavioral Strategies Scale (PBSS; Martens, M. P., Ferrier, A. G., Sheehy, M. J., Corbett, K., Anderson, D. A., & Simmons, A., 2005 Development of the Protective Behavioral Strategies Survey. Journal of Studies on Alcohol, 66, 698-705), Protective Behavioral Strategies Measure (Novik, M. G., & Boekeloo, B. O., 2011, Dimensionality and psychometric analysis of an alcohol protective behavioral strategies scale. Journal of Drug Education, 41, 65-78. doi:10.2190/DE.41.1.d), and the Strategy Questionnaire (SQ); (Sugarman, D. E., & Carey, K. B., 2007), The relationship between drinking control strategies and college student alcohol use. Psychology of Addictive Behaviors, 21, 338-345. doi:10.1037/0893-164X.21.3.338). In a sample of college students (n=291), we used confirmatory factor analysis to examine the proposed factor structures of each scale. Although the theorized three-factor structure fit the data moderately well for the PBSS, the theorized factor structures for the Protective Behavioral Strategies Measure and SQ did not fit the data well. Further, the composite scores from the PBSS were all significantly negatively correlated with alcohol-related problems, whereas the composites of the SQ were not significantly correlated with alcohol-related problems. Although we have evidence in favor of 1 PBS measure over others, we discuss broader issues related to assessment of PBS. We consider the different instructions, response scales, and time intervals for various PBS measures in terms of how they relate to the advancement of PBS research.

No abstract

In multigroup factor analysis, different levels of measurement invariance are accepted as tenable when researchers observe a nonsignificant (Δ)χ2 test after imposing certain equality constraints across groups. Large samples yield high power to detect negligible misspecifications, so many researchers prefer alternative fit indices (AFIs). Fixed cutoffs have been proposed for evaluating the effect of invariance constraints on change in AFIs (e.g., Chen, 2007; Cheung & Rensvold, 2002; Meade, Johnson, & Braddy, 2008). We demonstrate that all of these cutoffs have inconsistent Type I error rates. As a solution, we propose replacing χ2 and fixed AFI cutoffs with permutation tests. Randomly permuting group assignment results in average between-groups differences of zero, so iterative permutation yields an empirical distribution of any fit measure under the null hypothesis of invariance across groups. Our simulations show that the permutation test of configural invariance controls Type I error rates better than χ2 or AFIs when the model contains parsimony error (i.e., negligible misspecification) but the factor structure is equivalent across groups (i.e., the null hypothesis is true). For testing metric and scalar invariance, Δχ2 and permutation yield similar power and nominal Type I error rates, whereas ΔAFIs yield inflated errors in smaller samples. Permuting the maximum modification index among equality constraints control familywise Type I error rates when testing multiple indicators for lack of invariance, but provide similar power as using a Bonferroni adjustment. An applied example and syntax for software are provided. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

This paper is NOT THE PUBLISHED VERSION; but the author's final, peer-reviewed manuscript. The published version may be accessed by following the link in th citation below.

In the present study, we examined whether use of protective behavioral strategies mediated the relationship between self-control constructs and alcohol-related outcomes. According to the two-mode model of self-control, good self-control (planfulness; measured with Future Time Perspective, Problem Solving, and Self-Reinforcement) and poor regulation (impulsivity; measured with Present Time Perspective, Poor Delay of Gratification, Distractibility) are theorized to be relatively independent constructs rather than opposite ends of a single continuum. The analytic sample consisted of 278 college student drinkers (68% women) who responded to a battery of surveys at a single time point. Using a structural equation model based on the two-mode model of self-control, we found that good self-control predicted increased use of three types of protective behavioral strategies (Manner of Drinking, Limiting/Stopping Drinking, and Serious Harm Reduction). Poor regulation was unrelated to use of protective behavioral strategies, but had direct effects on alcohol use and alcohol problems. Further, protective behavioral strategies mediated the relationship between good self-control and alcohol use. The clinical implications of these findings are discussed.

In the present study, we examined whether the use of protective behavioral strategies (PBS) mediates the effects of impulsivity-like traits on alcohol-related problems using a sample of 278 college students. Validating the 5-factor model of impulsivity, we showed that each impulsivity-like trait had a distinct pattern of relationships with PBS and/or alcohol outcomes. Further validating the 3-factor model of PBS (Limiting/Stopping Drinking, Manner of Drinking, and Serious Harm Reduction), we found that each type of PBS had unique antecedents (i.e., predicted by different impulsivity-like traits) and unique prediction (i.e., predicted alcohol use/problems differently). We discuss the implications of findings for the study of etiology of alcohol misuse as well as for intervention development.

In multigroup factor analysis, configural measurement invariance is accepted as tenable when researchers either (a) fail to reject the null hypothesis of exact fit using a ¦ 2 test or (b) conclude that a model fits approximately well enough, according to one or more alternative fit indices (AFIs). These criteria fail for two reasons. First, the test of perfect fit confounds model fit with group equivalence, so rejecting the null hypothesis of perfect fit does not imply that the null hypothesis of configural invariance should be rejected. Second, treating common rules of thumb as critical values for judging approximate fit yields inconsistent results across conditions because fixed cutoffs ignore sampling variability of AFIs. As a solution, we propose replacing ¦ 2 and fixed AFI cutoffs with permutation tests. Iterative permutation of group assignment yields an empirical distribution of any fit measure under the null hypothesis of invariance. Simulations show the permutation test of configural invariance controls Type I error rates better than ¦ 2 or AFIs when a model has parsimony error (i.e., negligible misspecification) but the factor structure is equivalent across groups (i.e., the null hypothesis is true).

The purpose of the present studies was to examine the effects of response scale on the observed relationships between protective behavioral strategies (PBS) measures and alcohol-related outcomes. We reasoned that an ‘absolute frequency’ scale (stem: “how many times…”; response scale: 0 times to 11+ times) conflates the frequency of using PBS with the frequency of consuming alcohol; thus, we hypothesized that the use of an absolute frequency response scale would result in positive relationships between types of PBS and alcohol-related outcomes. Alternatively, a ‘contingent frequency’ scale (stem: “When drinking…how often…”; response scale: never to always) does not conflate frequency of alcohol use with use of PBS; therefore, we hypothesized that use of a contingent frequency scale would result in negative relationships between use of PBS and alcohol-related outcomes. Two published measures of PBS were used across studies: the Protective Behavioral Strategies Survey (PBSS) and the Strategy Questionnaire (SQ). Across three studies, we demonstrate that when measured using a contingent frequency response scale, PBS measures relate negatively to alcohol-related outcomes in a theoretically consistent manner; however, when PBS measures were measured on an absolute frequency response scale, they were non-significantly or positively related to alcohol-related outcomes. We discuss the implications of these findings for the assessment of PBS.