Using maintenance rehearsal to explore recognition memory.

We examined associative and item recognition using the maintenance rehearsal paradigm. Our intent was to control for mnemonic strategies; to produce a low, graded level of learning; and to provide evidence of the role of attention in long-term memory. An advantage for low-frequency words emerged in both associative and item recognition at very low levels of learning. This early emergence casts doubt on explanations based on the traditional concept of recollection. A comparison of false alarms supports a role for item information or the joint use of cues but not familiarity in producing associative false alarms. We may also have found a way to measure the amount of attention being paid to a to-be-learned item or pair, independently of memory performance on the attended item. This result may be an important step in determining whether coherent theories about the role of attention in long- and short-term memory can be created. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Development of a new outlier statistic for meta-analytic data.

This article describes the development of a new technique for identifying outlier coefficients in meta-analytic data sets. Denoted as the sample-adjusted meta-analytic deviancy statistic or SAMD, this technique takes into account the sample size on which each study is based when determining outlier status. An empirical test of the SAMD statistic with an actual meta-analytic data set resulted in a substantial reduction in residual variabilities and a corresponding increase in the percentage of variance accounted for by statistical artifacts after removal of outlier study coefficients. Moreover, removal of these coefficients helped to clarify what was a confusing and difficult-to-explain finding in this meta-analysis. It is suggested that analysis for outliers become a routine part of meta-analysis methodology. Limitations and directions for future research are discussed. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Using mediational models to explore the nature of tobacco motivation and tobacco treatment effects.

Various theories have proposed mechanisms for drug motivation and relapse. For instance, negative reinforcement theories focus on the alleviation of withdrawal. However, other theories and some data cast doubt on the importance of withdrawal as a motivator of addictive drug use. Using data from a randomized double-blind placebo-controlled smoking cessation treatment study (N=608), this research examined the impact of withdrawal on drug motivation and the ability to maintain abstinence. Withdrawal was experimentally manipulated by randomly assigning participants to receive active bupropion versus placebo. Mediation analyses revealed that active bupropion reduced the amount of withdrawal and craving that individuals reported in the 1st week post quit; modest support was also found for smaller declines in positive affect. These effects, in turn, were all positively associated with posttreatment abstinence. These results implicate withdrawal as an important factor in motivating persistent tobacco use. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Using and misusing factor analysis to explore group cohesion

Group cohesion is an important construct in understanding the behavior of different types of groups. However, controversy exists about how to conceptualize and measure cohesion, and a central issue is its dimensionality. Consequently, researchers have used factor analysis to examine the structure of the construct of cohesion and measures of it. Our goals in writing this article were to review critically how factor analysis has been used to understand group cohesion, make some recommendations for future factor analytic work, and point out some weaknesses and strengths in using factor analysis to explore cohesion.     

Using technology to explore social networks and mechanisms underlying peer effects in classrooms.

Peer interactions among children have long interested social scientists. Identifying causal peer effects is difficult, and a number of studies have used random assignment to produce evidence that peers affect each other's outcomes. This focus by sociologists and economists on whether peers affect each other has not been matched by direct evidence on how these effects operate. The authors argue that one reason for the small number of studies in sociology and economics on the mechanisms underlying peer effects is the difficulty of collecting data on microinteractions. They argue technology reduces data collection costs relative to direct observation and allows for realistic school activities with randomly assigned peers. The authors describe a novel strategy for collecting data on peer interactions and discuss how this approach might shed light on mechanisms underlying peer influence. The centerpiece of this strategy is the use of handheld computers by middle and high school students as part of interactive math and science lessons called the Discussion Game. The handhelds collect data on interactions between students and track how students' answers evolve as they interact with different peers. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Integrative data analysis: The simultaneous analysis of multiple data sets.

There are both quantitative and methodological techniques that foster the development and maintenance of a cumulative knowledge base within the psychological sciences. Most noteworthy of these techniques is meta-analysis, which allows for the synthesis of summary statistics drawn from multiple studies when the original data are not available. However, when the original data can be obtained from multiple studies, many advantages stem from the statistical analysis of the pooled data. The authors define integrative data analysis (IDA) as the analysis of multiple data sets that have been pooled into one. Although variants of IDA have been incorporated into other scientific disciplines, the use of these techniques is much less evident in psychology. In this article the authors present an overview of IDA as it may be applied within the psychological sciences, discuss the relative advantages and disadvantages of IDA, describe analytic strategies for analyzing pooled individual data, and offer recommendations for the use of IDA in practice. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Using hierarchical linear modeling to analyze grouped data.

This article discusses how to use a random coefficient modeling technique known as hierarchical linear modeling to analyze data collected within groups. The article describes how to use this technique to examine group- and individual-level phenomena, including examination of how individual-level relationships vary as a function of group characteristics. A comparison of hierarchical linear modeling with more traditional, ordinary-least-squares techniques and a presentation of how to implement analyses to test specific hypotheses are included. Included are brief discussions of pertinent issues such as the impact of different centering options, the analysis of categorical variables, distinctions between random and fixed effects, and balanced and unbalanced designs. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

A meta-analytic review of competency to stand trial research.

The present study is a meta-analysis of competency to stand trial research. One meta-analysis was previously conducted in this area, but the large number of empirical studies that have been conducted since and the introduction of new instruments and revision of old instruments warranted updating and expanding upon the previously conducted study via contemporary meta-analytic methods. We meta-analyzed 68 studies published between 1967 and 2008 that compared competent and incompetent defendants on a number of demographic, psychiatric, and criminological variables. Categorical and continuous variables commonly investigated in competency research were coded and aggregated to generate cumulative effect sizes in the form of odds ratios and Cohen's d statistics, and moderation was tested via meta-F and meta-regression analyses. The most robust findings were that defendants diagnosed with a Psychotic Disorder were approximately eight times more likely to be found incompetent than defendants without a Psychotic Disorder diagnosis and the likelihood of being found incompetent was approximately double for unemployed defendants as compared to employed defendants. The likelihood of being found incompetent was also double for defendants with a previous psychiatric hospitalization compared to those without a hospitalization history. Comparative data on 12 competency assessment instruments and three traditional instruments were also explored and the effect sizes associated with the competency measures were substantially larger (i.e., approximately one Cohen's d-point) than those for the traditional measures. Limitations of the primary research and the previous and present meta-analyses are presented and future directions in this area are outlined. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

Child witnesses to domestic violence: A meta-analytic review.

This meta-analysis examined 118 studies of the psychosocial outcomes of children exposed to interparental violence. Correlational studies showed a significant association between exposure and child problems (d? = -0.29). Group comparison studies showed that witnesses had significantly worse outcomes relative to nonwitnesses (d? = -0.40) and children from verbally aggressive homes (d? = -0.28), but witnesses' outcomes were not significantly different from those of physically abused children (d? = 0.15) or physically abused witnesses (d? = 0.13). Several methodological variables moderated these results. Similar effects were found across a range of outcomes, with slight evidence for greater risk among preschoolers. Recommendations for future research are made, taking into account practical and theoretical issues in this area. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Limitations on preschool children's knowledge about counting: Using counting to compare two sets.

Possible limitations on preschool children's understanding of counting were examined by asking twenty 3-year-olds and twenty 4-year-olds to judge the appropriateness of counting carried out by a puppet. The puppet was asked to count either to find out how many objects were present altogether or to find out whether every object in one subset could have a corresponding object from the other subset. Within each counting task, half of the time the puppet counted all of the objects together and half of the time it counted the two subsets separately. Children at both ages showed some differentiation between the two counting tasks and performed at an above-chance level on the how-many task but not on the compare-sets task. The most common individual response pattern among the 3-year-olds was to judge both kinds of counts to be appropriate on both tasks, whereas the most common individual response pattern among the 4-year-olds was to judge counting of all the objects together to be appropriate and counting of the two subsets separately to be inappropriate on both tasks. The fact that children managed to differentiate appropriately between the two counting tasks despite using these basically undifferentiated strategies suggests that correct judgment processes coexisted with their predominant strategies and competed with them to determine performance. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Relationship of personality to performance motivation: A meta-analytic review.

This article provides a meta-analysis of the relationship between the 5-factor model of personality and 3 central theories of performance motivation (goal-setting, expectancy, and self-efficacy motivation). The quantitative review includes 150 correlations from 65 studies. Traits were organized according to the 5-factor model of personality. Results indicated that Neuroticism (average validity=-.31) and Conscientiousness (average validity=.24) were the strongest and most consistent correlates of performance motivation across the 3 theoretical perspectives. Results further indicated that the validity of 3 of the Big Five traits--Neuroticism, Extraversion, and Conscientiousness--generalized across studies. As a set, the Big 5 traits had an average multiple correlation of .49 with the motivational criteria, suggesting that the Big 5 traits are an important source of performance motivation. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Comparison of methods for combining incomplete sets of rank-order data.

Explores method accuracy in combining incomplete rankings randomly sampled from various computer-generated populations with known assumptions and parameter settings. Contrary to findings of earlier studies, very significant differences between methods were observed under widely varying conditions. The relationships observed between method performance and experimental variables are shown to be far more complex than previous studies had indicated. Results suggest a decision strategy for the selection of an appropriate method to use with various types of data. (15 ref.) (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Deeper into divorce: Using actor-partner analyses to explore systemic differences in coparenting conflict following custody dispute resolution.

Divorce is an inherently interpersonal experience, yet too often adults' reactions to marital dissolution are investigated as intrapersonal experiences that unfold outside of the relational context in which they exist. This article examines systemic patterns of interpersonal influence between divorced parents who were randomly assigned to either mediate or litigate a child custody dispute in the mid-1980s. Reports of coparenting conflict and nonacceptance of the divorce were assessed 5 weeks after the dispute settlement, 13 months after the settlement, and then again 12 years later. One hundred nine (N = 109) parents provided data over this 12-year period. Fathers reported the highest initial levels of conflict when their ex-partners were more accepting of the divorce. Mediation parents reported decreases in coparenting conflict in the year after dispute settlement, whereas litigation parents reported increases in conflict. Litigation parents evidenced the greatest long-term increases and decreases in coparenting conflict. Mediation is a potent force for reducing postdivorce conflict, and this article highlights the usefulness of adopting a systemic lens for understanding the long-term correlates of marital dissolution. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Patient-focused research: Using patient outcome data to enhance treatment effects.

A program of research aimed at improving the quality of psychological interventions is described. Data from over 10,000 patients were analyzed to understand the association between number of treatment sessions and clinically significant improvement. In addition to a potential dose-response relationship, typical recovery curves were generated for patients at varying levels of disturbance and were used to identify patients whose progress was less than expected ("signal" cases). The consequences of passing this information along to therapists were reported. Analyses of dose-response data showed that 50% of patients required 21 sessions of treatment before they met criteria for clinically significant improvement. Seventy-five percent of patients were predicted to improve only after receiving more than 40 treatment sessions in conjunction with other routine contacts, including medication in some cases. Identification of signal cases (potential treatment failures) shows promise as a decision support tool, although further research is needed to elucidate the nature of helpful feedback. Outgrowths of this research include its possible contribution to social policy decisions, reductions in the need for case management, use in supervision, and possible effects on theories of change. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Using claims data to monitor hospital utilization

Controlling provider use is a continuing problem for health care insurers. This paper describes a Blue Cross and Blue Shield of Michigan system that places primary responsibility for inpatient admissions on participating hospitals and uses a dual monitoring approach. Expensive annual samples that review medical records against published criteria constitute the basic test of compliance. An inexpensive indicator is developed quarterly using automated universal claims review. Statistical methodology, costs, and savings for both monitors are described. The claims monitor uses diagnosis related group (DRG) characteristics to estimate the percentage of inappropriate utilization from historical values for the patient group.     

A meta-analytic examination of the goal orientation nomological net.

The authors present an empirical review of the literature concerning trait and state goal orientation (GO). Three dimensions of GO were examined: learning, prove performance, and avoid performance along with presumed antecedents and proximal and distal consequences of these dimensions. Antecedent variables included cognitive ability, implicit theory of intelligence, need for achievement, self-esteem, general self-efficacy, and the Big Five personality characteristics. Proximal consequences included state GO, task-specific self-efficacy, self-set goal level, learning strategies, feedback seeking, and state anxiety. Distal consequences included learning, academic performance, task performance, and job performance. Generally speaking, learning GO was positively correlated, avoid performance GO was negatively correlated, and prove performance GO was uncorrelated with these variables. Consistent with theory, state GO tended to have stronger relationships with the distal consequences than did trait GO. Finally, using a meta-correlation matrix, the authors found that trait GO predicted job performance above and beyond cognitive ability and personality. These results demonstrate the value of GO to organizational researchers. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Self-threat magnifies the self-serving bias: A meta-analytic integration.

Experiments testing the self-serving bias (SSB; taking credit for personal success but blaming external factors for personal failure) have used a multitude of moderators (i.e., role, task importance, outcome expectancies, self-esteem, achievement motivation, self-focused attention, task choice, perceived task difficulty, interpersonal orientation, status, affect, locus of control, gender, and task type). The present meta-analytic review established the viability and pervasiveness of the SSB and, more important, organized the 14 moderators just listed under the common theoretical umbrella of self-threat. According to the self-threat model, the high self-threat level of each moderator is associated with a larger display of the SSB than the low self-threat level. The model was supported: Self-threat magnifies the SSB. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Using sleep dysfunction to explore the nature of resilience in adult survivors of childhood abuse or trauma

OBJECTIVE: In early studies, resilience to trauma was equated with psychological well-being. This study explores the possibility that such resilience is better described as social-behavioral competency and that, in turn, such competency can conceal emotional pain. METHOD: A university sample of 97 participants, 79 women and 18 men, completed measures of childhood abuse and trauma, resilient characteristics, and sleep dysfunction. The measures of sleep problems could be divided into those tapping psychological well-being (e.g., nightmare frequency) and those reflecting social-behavioral functioning (e.g., measures of the impact of nightmares on waking functioning). RESULTS: Fifty-three participants reported experiencing one or more types of trauma or abuse in childhood. As a group they scored more negatively than those reporting no abuse on measures of sleep dysfunction. Resilient characteristics were only related to measures of social-behavioral functioning, not well-being. CONCLUSIONS: The findings are consistent with current conceptualizations of trauma/abuse recovery as involving multiple dimensions of functioning, some of which are more publicly observable than others. Therefore, some apparently resilient individuals may have good social-behavioral competency while still experiencing psychological pain.     

Using comparison data to differentiate categorical and dimensional data by examining factor score distributions: Resolving the mode problem.

Factor-analytic research is common in the study of constructs and measures in psychological assessment. Latent factors can represent traits as continuous underlying dimensions or as discrete categories. When examining the distributions of estimated scores on latent factors, one would expect unimodal distributions for dimensional data and bimodal or multimodal distributions for categorical data. Unfortunately, identifying modes is subjective, and the operationalization of counting local maxima has not performed very well. Rather than locating and counting modes, the authors propose performing parallel analyses of categorical and dimensional comparison data and calculating an index of the relative fit of these competing structural models. In an extensive Monte Carlo study, the authors replicated prior results for mode counting and found that trimming distributions' tails helped. However, parallel analyses of comparison data achieved much greater accuracy, improved base rate estimation, and afforded consistency checks with other taxometric procedures. Two additional studies apply this approach to empirical data either known to be categorical or presumed to be dimensional. Each study supports this new method for factor-analytic research on the latent structure of constructs and measures in psychological assessment. (PsycINFO Database Record (c) 2010 APA, all rights reserved)