Parsimonious item response theory modeling with the negative log-log link: The role of inflection point shift.

In item response theory (IRT) modeling, the magnitude of the lower and upper asymptote parameters determines the degree to which the inflection point shifts above or below P = 0.50. The current study examines the one-parameter negative log-log model (NLLM), which is characterized by a downward shift in the inflection point, among other distinctive psychometric properties. After detailing the statistical foundations of the NLLM, we present a series of simulation studies to establish item and person parameter estimation accuracy and to demonstrate that this parsimonious model addresses the "slipping" effect (i.e., unexpectedly incorrect answers) via an inflection point < 0.50 rather than through computationally difficult estimation of the upper asymptote. We then provide further support for these simulation results through empirical data analysis. Finally, we discuss how the NLLM contributes to recent methodological literature on the utility of asymmetric IRT models.

Parsimonious asymmetric item response theory modeling with the complementary log-log link.

Traditional item response theory (IRT) models assume a symmetric error distribution and rely on symmetric (logit or probit) link functions to model the response probabilities. As an alternative, we investigated the one-parameter complementary log-log model (CLLM), which is founded on an asymmetric error distribution and results in an asymmetric item response function with important psychometric properties. In a series of simulation studies, we demonstrate that the CLLM (a) is estimable in small sample sizes, (b) facilitates item-weighted scoring, and (c) accounts for the effect of guessing, despite the presence of a single parameter. We then provide further evidence for these claims by applying the CLLM to empirical data. Finally, we discuss how this work contributes to the growing psychometric literature on model complexity.

Adolescent sadfishing on social media: anxiety, depression, attention seeking, and lack of perceived social support as potential contributors.

BACKGROUND: Sympathy-seeking negative online self-disclosure, or "sadfishing," has proliferated in social media. This study investigates sadfishing by developing and validating a brief self-report questionnaire of the construct and exploring potential psychological correlates. METHODS: A total of 345 Iranian adolescent social media users (Mage = 16.29, SDage = 1.52) participated in the study. Participants completed the newly constructed Social Media Sadfishing Questionnaire, in addition to measures of anxiety, depression, attention seeking, perceived social support, and social media use integration. RESULTS: Factor analyses revealed a unidimensional structure of the 5-item Social Media Sadfishing Questionnaire. The questionnaire yielded sound construct validity and internal consistency. Anxiety, depression, and attention seeking were positively associated with sadfishing, while perceived social support from family and friends was negatively associated with sadfishing. Negative online reactions to sadfishing were rare. Boys reported higher sadfishing tendencies than girls at age 12; however, sadfishing in boys declined at a higher rate than in girls with age. CONCLUSIONS: The findings suggest that negative affect and attention seeking, combined with feelings of low social support, can be associated with adolescent sadfishing on social media. The quantitative results shed new light on the contribution of psychosocial factors to sadfishing.

Oversharing on Social Media: Anxiety, Attention-Seeking, and Social Media Addiction Predict the Breadth and Depth of Sharing.

Oversharing on social media by adolescents is a considerable problem in the digital age, and has the potential to instigate online shaming, cyberbullying, identity theft, and other security risks. To date, oversharing has not been comprehensively studied and there is scarce understanding of the possible psychological conditions that may underlie this maladaptive online behavior. This study aimed to measure online oversharing and its potential psychological correlates among adolescents. Data were collected from 352 Iranian adolescent social media users (270 girls and 82 boys; Mage = 16.38, SD = 1.71). The Online Oversharing Inventory, developed for this study, demonstrated unidimensionality and excellent internal consistency. Further results showed that boys overshared significantly more on social media than girls did. Anxiety, attention-seeking, and social media addiction were significantly associated with elevated levels of online oversharing. Results show that the Online Oversharing Inventory is a brief and robust tool for the assessment of high frequency self-disclosure on social media. The findings suggest that anxiety, attention-seeking, and problematic use of social media may predispose adolescents to overshare personal information online.

Before/after Bayes: A comparison of frequentist and Bayesian mixed-effects models in applied psychological research.

Bayesian methods are becoming increasingly used in applied psychological research. Previous researchers have thoroughly written about much of the details already, including the philosophy underlying Bayesian methods, computational issues associated with Bayesian model estimation, Bayesian model development and summary, and the role of Bayesian methods in the so-called replication crisis. In this paper, we seek to provide case studies comparing the use of frequentist methods to the use of Bayesian methods in applied psychological research. These case studies are intended to 'illustrate by example' the ways that Bayesian modelling differs from frequentist modelling and the differing conclusions that one may arrive at using the two methods. The intended audience is applied psychological researchers who have been trained in the traditional frequentist framework, who are familiar with mixed-effects models and who are curious about how statistical results might look in a Bayesian context. Along with our case studies, we provide general opinions and guidance on the use of Bayesian methods in applied psychological research.

Development and validation of the Intervention Skills Profile-Skills: A brief measure of student social-emotional and academic enabling skills.

The purpose of this study was to support the development and initial validation of the Intervention Selection Profile (ISP)-Skills, a brief 14-item teacher rating scale intended to inform the selection and delivery of instructional interventions at Tier 2. Teacher participants (n = 196) rated five students from their classroom across four measures (total student n = 877). These measures included the ISP-Skills and three criterion tools: Social Skills Improvement System (SSIS), Devereux Student Strengths Assessment (DESSA), and Academic Competence Evaluation Scales (ACES). Diagnostic classification modeling (DCM) suggested an expert-created Q-matrix, which specified relations between ISP-Skills items and hypothesized latent attributes, provided good fit to item data. DCM also indicated ISP-Skills items functioned as intended, with the magnitude of item ratings corresponding to the model-implied probability of attribute mastery. DCM was then used to generate skill profiles for each student, which included scores representing the probability of students mastering each of eight skills. Correlational analyses revealed large convergent relations between ISP-Skills probability scores and theoretically-aligned subscales from the criterion measures. Discriminant validity was not supported, as ISP-Skills scores were also highly related to all other criterion subscales. Receiver operating characteristic (ROC) curve analyses informed the selection of cut scores from each ISP-Skills scale. Review of classification accuracy statistics associated with these cut scores (e.g., sensitivity and specificity) suggested they reliably differentiated students with below average, average, and above average skills. Implications for practice and directions for future research are discussed, including those related to the examination of ISP-Skills treatment utility.