Psych, Volume 5, Issue 2 (June 2023) – 20 articles

Decision-making in uncertain and stressful environments combined with the high-profile cases of police violence in the United States has generated substantial debates about policing and created challenges to maintaining public confidence and trust in law enforcement. However, despite the manifestations of reactions across the ideological spectrum, it is unclear what information is available in the literature about the convergence between ethical decision-making and policing. Therefore, an interdisciplinary scoping review was conducted to map the nature and extent of research evidence, identify existing gaps in knowledge, and discuss future implications for ethical decision-making in law enforcement. This review investigates the interaction between the job complexities of policing (psychological and normative factors) and aspects of ethical decision-making, synthesizing three distinct themes: (1) socio-moral dimensions impact the job complexities of police work, (2) lethal means and moral injury influence intuitive and rational decision-making, and (3) police wellness and interventions are critical to sustaining police readiness. Gaps in recruiting, training, and leadership and managerial practices can be broadly transformed to fundamentally emphasize officer wellness and a holistic approach to ethical practices, enabling police officers to uphold the rule of law, promote public safety, and protect the communities they serve. Full article

In recent years, researchers have described how to analyze generalizability theory (GT) based univariate, multivariate, and bifactor designs using structural equation models. However, within GT studies of bifactor models, variance components have been limited to those reflecting relative differences in scores for norm-referencing purposes, with only limited guidance provided for estimating key indices when making changes to measurement procedures. In this article, we demonstrate how to derive variance components for multi-facet GT-based bifactor model designs that represent both relative and absolute differences in scores for norm- or criterion-referencing purposes using scores from selected scales within the recently expanded form of the Big Five Inventory (BFI-2). We further develop and apply prophecy formulas for determining how changes in numbers of items, numbers of occasions, and universes of generalization affect a wide variety of indices instrumental in determining the best ways to change measurement procedures for specific purposes. These indices include coefficients representing score generalizability and dependability; scale viability and added value; and proportions of observed score variance attributable to general factor effects, group factor effects, and individual sources of measurement error. To enable readers to apply these techniques, we provide detailed formulas, code in R, and sample data for conducting all demonstrated analyses within this article. Full article

The exchange of intimate messages, images, and videos via digital means, also referred to as sexting, has drawn considerable academic attention in recent years. Specifically, cross-sectional research has indicated that sexting can be associated with harmful outcomes such as depression, anxiety, and cyberbullying. However, there is currently limited empirical research examining the causal relationship between these factors, and to date, there has been no systematic review of the longitudinal studies on sexting. Thus, the purpose of this review is to summarise and review the current research addressing long-term outcomes and predictors of sexting. A systematic search of databases was conducted. Eight databases were searched, with twenty-four longitudinal studies meeting the inclusion criteria and thus included in this review. The quality of individual studies was assessed using the Joanna Briggs Institute Critical Appraisal tool. Overall, longitudinal research into sexting is scarce, and variability in definitions, measured variables, and sample demographics have created challenges in achieving consensus across variables. For example, findings were inconclusive regarding causal relationships between sexting, cyberbullying/bullying, and psychological health outcomes. Findings indicated that positive peer norms predicted sexting and that sexting was predictive of future offline sexual behaviours. Future longitudinal research would benefit from differentiating between consensual and non-consensual sexting behaviours in measurement. Future prevention efforts should focus on addressing peer norms that develop around sexting behaviours. Full article

While pornography provides opportunities for sexual exploration for young people, early and easy access also has possible negative implications for young people’s behavioural and sexual development. Parental responsibilities concerning their children’s consumption of pornography are largely misunderstood. This study explored parental experiences and beliefs about pornography education for young people using a qualitative study (n = 8, 6 females, 2 males). Interview data were analysed using a reflexive thematic approach. Results indicated that parents have concerns about the ease of access to pornography and the unmediated ideas it presents. Additionally, parents believe they have a responsibility to educate young people about pornography through having open and honest conversations and providing supervision. Further, parents believe that schools should be doing more to educate young people about pornography. This study extends upon current literature by suggesting that although parents feel well-equipped to communicate with and educate young people about pornography consumption, they lack confidence in their capacities to do this. Full article

The present paper aims to describe the structure, function, and goals of two of the oldest Mobile Mental Health Units in Greece, namely, the Mobile Mental Health Unit in Fokida (MMHU-F) and the Mobile Mental Health Unit in Thrace (Alexandroupolis, MMHU-T). Information about their historical background, catchment areas, and current staffing, as well as the services provided by each MMHU is discussed. The focus of the paper is slightly biased towards the MMHU-F because it is the only available mental health service in the whole Fokida prefecture. The major goals of the MMHUs are the diagnosis, treatment, and prevention of relapse of severe mental illness within the community. Other important goals of the MMHUs are psychoeducation, psychological support for the family/caregivers, as well as vocational training and support for patients with severe mental illness. Statistical data depicting the demographic characteristics and diagnostic profiles of patients in each MMHU is also provided, and the differences between the two MMHUs are briefly discussed. Full article

Detecting and understanding DTF is very important under various DIF conditions. In this study, the performance of DTF, DRF, SIBTEST, and CSIBTEST approaches in detecting DIF effects was investigated using a simulation study and a real dataset. It was observed that different DIF conditions (uniform, non-uniform), the proportion of DIF items in the test, the DIF size, and the DIF effect (balanced, unbalanced) affected the performance of the methods, and especially in the case of the non-uniform DIF condition, the power rates of sDTF, sDRF, and SIBTEST statistics were low. In addition, according to the DTF estimations with the balanced/unbalanced DIF effect condition, in some cases, the effect of DIF on the overall test could be negligible. However, it was clearly emphasized in this study that DTF analyses should accompany DIF studies since DTF analysis may change with different DIF and test conditions. Full article

The detection of differential item functioning is crucial for the psychometric evaluation of multistage tests. This paper discusses five approaches presented in the literature: logistic regression, SIBTEST, analytical score-based tests, bootstrap score-based tests, and permutation score-based tests. First, using an simulation study inspired by a real-life large-scale educational assessment, we compare the five approaches with respect to their type I error rate and their statistical power. Then, we present an application to an empirical data set. We find that all approaches show type I error rates close to the nominal alpha level. Furthermore, all approaches are shown to be sensitive to uniform and non-uniform DIF effects, with the score-based tests showing the highest power. Full article

Some evidence suggests body postures can elicit emotion. Compared to neutral postures, constrictive postures are associated with negative affect and low arousal, whereas expansive postures have shown mixed effects. Qualitative methods may allow insights into this phenomenon. We asked 15 participants (mean age 43 years) to adopt eight different expansive, constrictive, or neutral postures, drawn from previous power posing or postural studies. After a minute in each posture, participants were interviewed about how they felt and when they might adopt the posture in real life. Interviews were audio recorded and inductive thematic analysis conducted. Power poses were associated with power and confidence, but also aggression, arrogance, intimidation, and disrespect. The slumped posture was associated with sadness and low control, and the upright seated posture with being alert and apprehensive as well as formality. Neutral postures were associated with feeling relaxed and comfortable. These results suggest that expansive postures have mixed emotional effects, but are inappropriate in some contexts. Full article

A large body of evidence highlights the importance of psycho-behavioural skills as a key feature of talent development in sport. The purpose of this study was to explore pedagogic intentions of coaches in the psychological development of athletes. Eleven coaches were purposefully sampled for interview based on a track record of expert practice. Using reflexive thematic analysis, three overarching themes were generated as representing the coaches’ work: knowing and shaping the athlete’s needs, purposeful breadth and flexibility of teaching approaches, using challenge to test skill development, and the necessity of review and refinement. Reflecting these data, we suggest the need for an increased appreciation of the role of the sports coach beyond the technical and tactical, with the recommendation that coaches build their knowledge and skillset across a breadth of domains to support the psychological development of athletes more effectively. Full article

This study investigates the performance of estimation methods for multidimensional IRT models with dichotomous and polytomous data in two well-known IRT programs: SAS PROC IRT and the mirt package in R. A simulation study was used to compare performance on a simple structure Rasch model, complex structure 2PL model, and bifactor graded response model. Under RMSE and bias criteria regarding item parameter recovery, PROC IRT and mirt showed nearly identical performance in the simple structure condition. When a complex structure was used, mirt performed better in terms of the recovery of intercept parameters, while the recovery of slope parameters depended on the program and the sample sizes: PROC IRT tended to be better with small samples ($N=500$) according to RMSE, and mirt was better for larger samples ($N=1000$ and $2500$) according to RMSE and bias for the slope parameter recovery. When a bifactor structure was used, mirt was preferred in all cases; differences lessened as sample size increased. Full article

The latent space item response model (LSIRM) is a newly-developed approach to analyzing and visualizing conditional dependencies in item response data, manifested as the interactions between respondents and items, between respondents, and between items. This paper provides a practical guide to the Bayesian estimation of LSIRM using three open-source software options, JAGS, Stan, and NIMBLE in R. By means of an empirical example, we illustrate LSIRM estimation, providing details on the model specification and implementation, convergence diagnostics, model fit evaluations and interaction map visualizations. Full article

In psychological research, comparisons between two groups are frequently made to demonstrate that one group exhibits higher values. Although Welch’s unequal variances t-test has become the preferred parametric test for this purpose, surpassing Student’s equal variances t-test, the Wilcoxon–Mann–Whitney test remains the predominant nonparametric approach despite sharing similar limitations with Student’s t-test. Specifically, the Wilcoxon–Mann–Whitney test is associated with strong, unrealistic assumptions and lacks robustness when these assumptions are violated. The Brunner–Munzel test overcomes these limitations, featuring fewer assumptions, akin to Welch’s t-test in the parametric domain, and has thus been recommended over the Wilcoxon–Mann–Whitney test. However, the Brunner–Munzel test is currently unavailable in user-friendly statistical software, such as SPSS, making it inaccessible to many researchers. In this paper, I introduce the bmtest module for jamovi, a freely available user-friendly software. By making the Brunner–Munzel test accessible to a wide range of researchers, the bmtest module has the potential to improve nonparametric statistical analysis in psychology and other disciplines. Full article

Item response theory models and applications are affected by many sources of variability, including errors associated with item parameter estimation. Metric stability analysis (MSA) is one method to evaluate the effects of item parameter standard errors that quantifies how well a model determines the latent trait metric. This paper describes how to evaluate MSA in dichotomous and polytomous data and describes a Bayesian implementation of MSA that does not require a positive definite variance–covariance matrix among item parameters. MSA analyses are illustrated in the context of an oral-health-related quality of life measure administered before and after prosthodontic treatment. The R code to implement the methods described in this paper is provided. Full article

In this study, we present a package for R that is intended as a professional tool for the management and analysis of data from educational tests and useful both in high-stakes assessment programs and survey research. Focused on psychometric models based on the sum score as the scoring rule and having sufficient statistics for their parameters, dexter fully exploits the many theoretical and practical advantages of this choice: lack of unnecessary assumptions, stable and fast estimation, and powerful and sensible diagnostic techniques. It includes an easy to use data management system tailored to the structure of test data and compatible with the current paradigm of tidy data. Companion packages currently include a graphical user interface and support for multi-stage testing. Full article

Cognitive diagnostic models (CDMs) are increasingly being used in various assessment contexts to identify cognitive processes and provide tailored feedback. However, the most commonly used estimation method for CDMs, marginal maximum likelihood estimation with Expectation–Maximization (MMLE-EM), can present difficulties when sample sizes are small. This study compares the results of different estimation methods for CDMs under varying sample sizes using simulated and empirical data. The methods compared include MMLE-EM, Bayes modal, Markov chain Monte Carlo, a non-parametric method, and a parsimonious parametric model such as Restricted DINA. We varied the sample size, and assessed the bias in the estimation of item parameters, the precision in attribute classification, the bias in the reliability estimate, and computational cost. The findings suggest that alternative estimation methods are preferred over MMLE-EM under low sample-size conditions, whereas comparable results are obtained under large sample-size conditions. Practitioners should consider using alternative estimation methods when working with small samples to obtain more accurate estimates of CDM parameters. This study aims to maximize the potential of CDMs by providing guidance on the estimation of the parameters. Full article

The present study validated the University Student Engagement Inventory (USEI) in the Arabic language (A) by assessing its factor structure, construct validity, reliability, and concurrent validity. A total of 864 Tunisian Physical Education and Sport students provided data which was used to perform exploratory and confirmatory factor analyses, using samples comprising 366 (aged 19–25 years) and 498 (aged 19–26 years) students, respectively. The A-USEI, grade-point average (GPA), and Physical Education Grit (PE–Grit) scales were completed via online surveys. The exploratory factor analysis revealed that the A-USEI had three dimensions. The confirmatory factor analysis indicated that the second-order model was more suitable than the first-order multi-factor model. Using the indicators for the second-order model, the three factors showed good reliability, with their average variance extracted (AVE) values reflecting sufficient validity. The correlation analyses between the two scales’ scores and the A-USEI scores showed a moderate correlation, confirming the adapted scale’s concurrent validity. The study concludes that A-USEI is a valid tool for assessing student engagement among Arabic students. In addition, the practical implications and directions for future research are discussed. Full article

Background: Currently, educational attainment has risen significantly among young people, causing changes in the labor market where skills have become more important. Thus, tertiary education has become an “essential vehicle” to develop high-level skills that would boost students’ professional, social, and personal lives. Methods: The aim of the survey is to study the effects of an intervention program based on two methodologies, service-learning and peer mentoring, to enhance the learn-to-learn and social skills of undergraduate students. The sample was composed of 69 undergraduate students of four different degrees. The methodological design adopted was quasi-experimental pretest–posttest. The intervention consisted of 955 mentoring sessions (878 one-to-one and 77 in groups) among the undergraduate students and students in compulsory education. The undergraduate students participated as mentors. Before, they had three sessions of training. Weekly mentoring sessions were spread out during out-of-school time for 90 min each. Results: The results show a few statistically significant differences in favor of the posttest phase in strategies for the learning and social skills of the participants. Conclusions: Although the program did not obtain the expected results, these outcomes agree with the other studies that investigate intervention programs that use service-learning and peer mentoring methodologies. Full article

This article is an introduction to Cluster Optimized Proximity Scaling (COPS) aimed at practitioners, as well as a tutorial on the usage of the corresponding R package cops. COPS is a variant of multidimensional scaling (MDS) that aims at providing a clustered configuration while still representing multivariate dissimilarities faithfully. It subsumes most popular MDS versions as special cases. We illustrate the ideas, use, flexibility and versatility of the method and the package with data from clinical psychology on how modules of the Modular Approach to Therapy for Children (MATCH) are used by clinicians in the wild. We supplement the COPS analyses with density-based hierarchical clustering in the original space and faceting with support vector machines. We find that scaling with COPS gives a sensible and insightful spatial arrangement of the modules, allows easy identification of clusters of modules and provides clear facets of modules corresponding to the MATCH protocols. In that respect COPS works better than both standard MDS and clustering. Full article

Generalizability theory provides a comprehensive framework for determining how multiple sources of measurement error affect scores from psychological assessments and using that information to improve those assessments. Although generalizability theory designs have traditionally been analyzed using analyses of variance (ANOVA) procedures, the same analyses can be replicated and extended using structural equation models. We collected multi-occasion data from inventories measuring numerous dimensions of personality, self-concept, and socially desirable responding to compare variance components, generalizability coefficients, dependability coefficients, and proportions of universe score and measurement error variance using structural equation modeling versus ANOVA techniques. We further applied structural equation modeling techniques to continuous latent response variable metrics and derived Monte Carlo-based confidence intervals for those indices on both observed score and continuous latent response variable metrics. Results for observed scores estimated using structural equation modeling and ANOVA procedures seldom varied. Differences in reliability between raw score and continuous latent response variable metrics were much greater for scales with dichotomous responses, thereby highlighting the value of doing analyses on both metrics to evaluate gains that might be achieved by increasing response options. We provide detailed guidelines for applying the demonstrated techniques using structural equation modeling and ANOVA-based statistical software. Full article

Stevens’s classification of scales into nominal, ordinal, interval, and ratio types is among the most controversial yet resilient ideas in psychological and educational measurement. In this essay, I challenge the notion that scale type is essential for the development of measures in these fields. I highlight how the concept of scale type, and of interval-level measurement in particular, is variously interpreted by many researchers. These (often unstated) differences in perspectives lead to confusion about what evidence is appropriate to demonstrate interval-level measurement, as well as the implications of scale type for research in practice. I then borrow from contemporary ideas in the philosophy of measurement to demonstrate that scale type can only be established in the context of well-developed theory and through experimentation. I conclude that current notions of scale type are of limited use, and that scale type ought to occupy a lesser role in psychometric discourse and pedagogy. Full article