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Featured researches published by Brooke J. Arterberry.


Addiction Research & Theory | 2014

Protective behavioral strategies, social norms, and alcohol-related outcomes

Brooke J. Arterberry; Ashley E. Smith; Matthew P. Martens; Jennifer M. Cadigan; James G. Murphy

The present study examined the unique contributions of protective behavioral strategies and social norms in predicting alcohol-related outcomes. Participants were 363 students from a large public university in the Midwest who reported at least one binge-drinking episode (5+/4+ drinks for men/women in one sitting) in the past 30 days. Data were collected from January 2010–March 2011. We used the structural equation modeling (SEM) to test models where protective behavioral strategies (PBS) and social norms were predictors of both alcohol use and alcohol-related problems, after controlling for the effects of gender. Both PBS and descriptive norms had relationships with alcohol use. PBS also had a relationship with alcohol-related problems. Overall, the findings suggest that PBS and social norms have unique associations with distinct alcohol-related outcomes.


Journal of Consulting and Clinical Psychology | 2015

Personalized drinking feedback: a meta-analysis of in-person versus computer-delivered interventions

Jennifer M. Cadigan; Angela M. Haeny; Matthew P. Martens; Cameron C. Weaver; Stephanie K. Takamatsu; Brooke J. Arterberry

OBJECTIVE Alcohol misuse is a significant public health concern. Personalized feedback interventions (PFIs) involve the use of personalized information about ones drinking behaviors and can be delivered in person or via computer. The relative efficacy of these delivery methods remains an unanswered question. The primary aim of the current meta-analysis was to identify and directly compare randomized clinical trials of in-person PFIs and computer-delivered PFIs. METHOD A total of 14 intervention comparisons from 13 manuscripts, of which 9 were college samples, were examined: in-person PFIs (N = 1,240; 49% female; 74% White) and computer-delivered PFIs (N = 1,201; 53% female; 73% White). Independent coders rated sample characteristics, study information, study design, intervention content, and study outcomes. RESULTS Weighted mean effect sizes were calculated using random-effects models. At short follow-up (≤4 months), there were no differences between in-person PFIs and computer-delivered PFIs on any alcohol use variable or alcohol-related problems. At long follow-up (>4 months), in-person PFIs were more effective than computer-delivered PFIs at impacting overall drinking quantity (d = .18) and drinks per week (d = .19). These effects were not moderated by sample characteristics. CONCLUSIONS For assessing alcohol outcomes at shorter follow-ups, there were no differences between delivery modality. At longer follow-ups, in-person PFIs demonstrated some advantages over computer-delivered PFIs. We encourage researchers to continue to examine direct comparisons between these delivery modalities and to further examine the efficacy of in-person PFIs at longer follow-ups. (PsycINFO Database Record


Journal of Consulting and Clinical Psychology | 2015

The efficacy of a personalized feedback-only intervention for at-risk college gamblers.

Matthew P. Martens; Brooke J. Arterberry; Stephanie K. Takamatsu; Joan Masters; Kim Dude

OBJECTIVE College students have been shown to be at higher risk than the general adult population for gambling-related problems. Thus, the purpose of this study was to examine the efficacy of a personalized feedback only intervention (PFB) among at-risk college student gamblers. METHOD Three hundred thirty-three college students who met screening criteria were randomized into 1 of 3 conditions: PFB, education only (EDU), or assessment only (AO). RESULTS At 3-month follow-up, individuals in the PFB condition reported fewer dollars gambled and fewer gambling-related problems than those in the AO condition. There were no differences between those in the EDU and the AO conditions, or between those in the PFB and the EDU conditions. CONCLUSION These findings are consistent with clinical trials examining other health behaviors, and have implications for the development and delivery of effective intervention programming for at-risk gamblers.


Measurement and Evaluation in Counseling and Development | 2012

Assessing the Dependability of Drinking Motives via Generalizability Theory

Brooke J. Arterberry; Matthew P. Martens; Jennifer M. Cadigan; Ashley E. Smith

This study assessed the score reliability of the Drinking Motives Questionnaire–Revised (DMQ-R) via generalizability theory. Participants (n = 367 college students) completed the DMQ-R at three time points. Across subscale scores, persons, persons × occasions, and persons × items interactions accounted for meaningful variance. Findings illustrate advantages of generalizability theory–based techniques.


Addiction Research & Theory | 2013

Examining a curvilinear model of readiness to change and alcohol consumption.

Jennifer M. Cadigan; Matthew P. Martens; Brooke J. Arterberry; Ashley E. Smith; James G. Murphy

Research examining the relationship between readiness to change and alcohol consumption among college students is inconsistent. The purpose of the present study was to extend these findings, using two different measures of readiness to change. We hypothesized a curvilinear effect would occur such that the relationship between readiness to change and alcohol use would be relatively low for students low and high on readiness to change, whereas the relationship would be relatively high for those with moderate levels of readiness to change. Data were collected from two studies: Study 1 consisted of 263 undergraduate students and Study 2 consisted of 245 undergraduates participating in either intercollegiate or recreational athletics at three US universities. In Study 1, we examined the association between both linear and quadratic scores on a readiness to change measure and alcohol use. In Study 2, we examined the relationship between scores on a stage of change measure that included subscales indicative of different levels of readiness to change and alcohol use. The pattern of relationships supported the existence of an effect where the highest levels of alcohol use occurred among those with scores representing moderate levels of readiness to change.


Evaluation & the Health Professions | 2016

How Should Alcohol Problems Be Conceptualized? Causal Indicators Within the Rutgers Alcohol Problem Index.

Brooke J. Arterberry; Ting Huei Chen; Alvaro Vergés; Kenneth A. Bollen; Matthew P. Martens

Alcohol-related problems have traditionally been conceptualized and measured by an effect indicator model. That is, it is generally assumed that observed indicators of alcohol problems are caused by a latent variable. However, there are reasons to think that this construct is more accurately conceptualized as including at least some causal indicators, in which observed indicators cause the latent variable. The present study examined the measurement model of a well-known alcohol consequences questionnaire, the Rutgers Alcohol Problem Index. Participants were 703 students from a large public university in the Northeast mandated to an alcohol intervention. We conducted a zero tetrad test to examine a measurement model consisting solely of effect indicators and a model with both causal and effect indicators. Overall, the results suggested the hybrid model fit the data better than a model with only effect indicators. These findings have implications regarding the theoretical underpinnings of alcohol-related consequences.


Journal of Psychoeducational Assessment | 2015

Development and Initial Validation of the Self-Directed Learning Inventory With Korean College Students:

Han Na Suh; Kenneth T. Wang; Brooke J. Arterberry

This article describes the development and psychometric evaluation of the Self-Directed Learning Inventory (SDLI) tailored to Korean college students, based on study evidences of differences in learning behavior across culture and educational level. With a sample of 605 female college students in Korea, exploratory factor analysis (EFA) results suggested a 28-item, eight-factor solution: (a) Learning Needs, (b) Utilizing Skills, (c) Enduring Challenges, (d) Self-efficacy in Learning, (e) Planning Skills, (f) Evaluating Skills, (g) Completing Tasks, and (h) Internal Attribution; confirmatory factor analysis cross-validated the EFA solutions. The SDLI demonstrated adequate internal consistency, as well as evidences that support construct validity.


Psychology of Addictive Behaviors | 2013

Marijuana use, driving, and related cognitions.

Brooke J. Arterberry; Hayley Treloar; Ashley E. Smith; Matthew P. Martens; Sarah L. Pedersen; Denis M. McCarthy


Personality and Individual Differences | 2014

Application of Generalizability Theory to the Big Five Inventory.

Brooke J. Arterberry; Matthew P. Martens; Jennifer M. Cadigan; David Rohrer


Journal of Studies on Alcohol and Drugs | 2017

Empirical Profiles of Alcohol and Marijuana Use, Drugged Driving, and Risk Perceptions

Brooke J. Arterberry; Hayley Treloar; Denis M. McCarthy

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