The Dimensionality of Reading Self-Concept: Examining Its Stability Using Local Structural Equation Models

For results from large-scale surveys to inform policy and practice appropriately, all participants must interpret and respond to items similarly. While organizers of surveys assessing student outcomes often ensure this for achievement measures, doing so for psychological questionnaires is also critical. We demonstrate this by examining the dimensionality of reading self-concept—a crucial psychological construct for several outcomes—across reading achievement levels. We use Programme for International Student Assessment 2018 data ( N = 529,966) and local structural equation models (LSEMs) to do so. Results reveal that reading self-concept dimensions (assessed through reading competence and difficulty) vary across reading achievement levels. Students with low reading achievement show differentiated responses to the two item sets (high competence–high difficulty). In contrast, students with high reading achievement have reconciled responses (high competence–low difficulty). Our results highlight the value of LSEMs in examining factor structure generalizability of constructs in large-scale surveys and call for greater cognitive testing during item development.

Memory Binding Test and Its Associations With Hippocampal Volume Across the Cognitive Continuum Preceding Dementia

Innovative memory paradigms have been introduced to capture subtle memory changes in early Alzheimer’s disease (AD). We aimed to examine the associations between different indexes of the challenging Memory Binding Test (MBT) and hippocampal volume (HV) in a sample of individuals with subjective cognitive decline (SCD; n = 50), amnestic mild cognitive impairment (aMCI) due to AD ( n = 31), and cognitively normal (CN) older adults ( n = 29) recruited from the Czech Brain Aging Study, in contrast to traditional verbal memory tests. Both MBT free and cued recall scores in immediate and delayed recall conditions were associated with lower HV in both SCD and aMCI due to AD, whereas in traditional verbal memory tests only delayed recall scores were associated with lower HV. In SCD, the associations with lower HV in the immediate recall covered specific cued recall indexes only. In conclusion, the MBT is a promising test for detecting subtle hippocampal-associated memory decline during the predementia continuum.

Utility of Diffusion Modeling of Cogstate Brief Battery Test Performance in Detecting Mild Cognitive Impairment

Cognitive testing data are essential to the diagnosis of mild cognitive impairment (MCI), and computerized cognitive testing, such as the Cogstate Brief Battery, has proven helpful in efficiently identifying harbingers of dementia. This study provides a side-by-side comparison of traditional Cogstate outcomes and diffusion modeling of these outcomes in predicting MCI diagnosis. Participants included 257 older adults (160 = normal cognition; 97 = MCI). Results showed that both traditional Cogstate and diffusion modeling analyses predicted MCI diagnosis with acceptable accuracy. Cogstate measures of recognition learning and working memory accuracy and diffusion modeling variable of decision-making efficiency (drift rate) and nondecisional time were most predictive of MCI. While participants with normal cognition demonstrated a change in response caution (boundary separation) when transitioning tasks, participants with MCI did not evidence this change.

Ecological Momentary Assessment: A Meta-Analysis on Designs, Samples, and Compliance Across Research Fields

Ecological Momentary Assessments (i.e., EMA, repeated assessments in daily life) are widespread in many fields of psychology and related disciplines. Yet, little knowledge exists on how differences in study designs and samples predict study compliance and dropout—two central parameters of data quality in (micro-)longitudinal research. The current meta-analysis included k = 477 articles (496 samples, total N = 677,536). For each article, we coded the design, sample characteristics, compliance, and dropout rate. The results showed that on average EMA studies scheduled six assessments per day, lasted for 7 days, and obtained a compliance of 79%. Studies with more assessments per day scheduled fewer assessment days, yet, the number of assessments did not predict compliance or dropout rates. Compliance was significantly higher in studies providing financial incentives. Otherwise, design or sample characteristics had little effects. We discuss the implications of the findings for planning, reporting, and reviewing EMA studies.

Validation of the Five-Factor Model Antagonistic Triad Measure

The personality constructs psychopathy, narcissism, and Machiavellianism, collectively described as the Dark Triad (DT), all reference socially aversive behavioral tendencies. Each construct is theorized to have features that differentiate it from others. Unfortunately, existing measures of the DT suffer from several problems. The present study compared newly developed measures of psychopathy (Super-Short Form of the Elemental Psychopathy Assessment), narcissism (Super-Short Form of the Five-Factor Narcissism Inventory), and Machiavellianism (Super-Short Form of the Five-Factor Machiavellianism Inventory [FFMI-SSF] based on the Five-Factor Model of personality)—collectively referred to as the Five-Factor Model Antagonistic Triad Measure—to existing DT inventories using a sample of undergraduate students ( N = 516). As predicted, FFMI-SSF showed better divergence from measures of psychopathy and better convergence with the expert Five-Factor Model (FFM) Machiavellianism profile than did existing Machiavellianism measures. Results also demonstrated that the factors within each FFM assessment manifested differentiated correlational profiles, underscoring the utility of the multifaceted assessment of these three constructs. In addition, the use of the FFM as the basis for the new DT measures provides a pathway for the integration of DT research into the larger field of basic and clinical personality science.

Questionnaire Measures of Empathy in Children: A Scoping Review

Children’s unique developmental and contextual needs make it challenging to measure empathy validly and reliably. This scoping review is the first to collate currently available information about self-report, other-report, and performance-based questionnaire measures of empathy for children aged up to 11 years. Following the guidelines for Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR; Tricco et al., 2018), a literature search using PsycINFO, Scopus, and Google Scholar identified 24 relevant measures of empathy in children, with publication years spanning 1958 to 2019. Questionnaires could broadly be classified into four groups, according to the extent to which they were developed with children’s developmental needs and contexts in mind, and were based on contemporary theory and research findings. There was a distinction between performance-based measures, which elicited children’s empathy-related responses to novel content and therefore assessed situational state empathy, and self- and other-report measures, which rated children’s general empathic tendencies and thus assessed dispositional trait empathy. Results highlighted the importance of researchers having clarity on their definition of empathy and choosing measures consistent with this, and the merit of utilizing a multimodal assessment approach.

Developing and Validating a Facial Emotion Recognition Task With Graded Intensity

Facial emotion recognition (FER) tasks are often digitally altered to vary expression intensity; however, such tasks have unknown psychometric properties. In these studies, an FER task was developed and validated—the Graded Emotional Face Task (GEFT)—which provided an opportunity to examine the psychometric properties of such tasks. Facial expressions were altered to produce five intensity levels for six emotions (e.g., 40% anger). In Study 1, 224 undergraduates viewed subsets of these faces and labeled the expressions. An item selection algorithm was used to maximize internal consistency and balance gender and ethnicity. In Study 2, 219 undergraduates completed the final GEFT and a multimethod battery of validity measures. Finally, in Study 3, 407 undergraduates oversampled for borderline personality disorder (BPD) completed the GEFT and a self-report BPD measure. Broad FER scales (e.g., overall anger) demonstrated evidence of reliability and validity; however, more specific subscales (e.g., 40% anger) had more variable psychometric properties. Notably, ceiling/floor effects appeared to decrease both internal consistency and limit external validity correlations. The findings are discussed from the perspective of measurement issues in the social cognition literature.

Comparing the Ability of MMPI-2 and MMPI-2-RF Validity Scales to Detect Feigning: A Meta-Analysis

Several meta-analyses of the Minnesota Multiphasic Personality Inventory-2 (MMPI-2) and Minnesota Multiphasic Personality Inventory-2 Restructured Form (MMPI-2-RF) have examined these instruments’ ability to detect symptom exaggeration or feigning. However, limited research has directly compared whether the scales across these two instruments are equally effective. This study used a moderated meta-analysis to compare 109 MMPI-2 and 41 MMPI-2-RF feigning studies, 83 (56.46%) of which were not included in previous meta-analyses. Although there were differences between the two test versions, with most MMPI-2 validity scales generating larger effect sizes than the corresponding MMPI-2-RF scales, these differences were not significant after controlling for study design and type of symptoms being feigned. Additional analyses showed that the F and Fp-r scales generated the largest effect sizes in identifying feigned psychiatric symptoms, while the FBS and RBS were better at detecting exaggerated medical symptoms. The findings indicate that the MMPI-2 validity scales and their MMPI-2-RF counterparts were similarly effective in differentiating genuine responders from those exaggerating or feigning psychiatric and medical symptoms. These results provide reassurance for the use of both the MMPI-2 and MMPI-2-RF in settings where symptom exaggeration or feigning is likely. Findings are discussed in the context of the recently released MMPI-3.

Measurement Invariance of Alabama Parenting Questionnaire Across Age, Gender, Clinical Status, and Informant

This study aimed to investigate the measurement invariance of the Alabama Parenting Questionnaire (for both long [APQ-lg] and short [APQ-9] forms) across age, gender, clinical status, and informant (i.e., parent vs. child reports). The sample was composed of adolescents (community sample: N = 1,746; clinical sample: N = 166) and parents ( N = 149). The analyses were conducted in R. Measurement invariance was assessed via multi-group confirmatory factor analysis, equivalence test, and subsampling approach. The original model of APQ-lg (five factors) showed a significantly better fit than other concurrent models (five concurrent models were specified, based on prior literature). For APQ-lg, we found measurement invariance across gender and partial measurement invariance across age, clinical status, and informant. For APQ-9, we confirmed the measurement invariance across gender and clinical status, while across age and informant partial measurement invariance was attested. Overall, our study indicated that APQ-lg and APQ-9 are two valid tools for measuring parenting practices with some caveats.

Development and Validation of a Smartphone-Based App for the Longitudinal Assessment of Anxiety in Daily Life

Current methods to assess human anxiety often ignore that anxiety is a dynamic process and have limitations such as high recall bias and low generalizability to real life. Smartphone apps using ecological momentary assessment (EMA) may overcome such limitations. We developed a smartphone app for the longitudinal evaluation of anxiety symptoms using EMA. We assessed the feasibility (retention and compliance) and psychometric properties (reliability and validity) of the app over 6 months in a sample of 99 participants with different levels of anxiety. The EMA-based smartphone app was highly feasible. It showed excellent within-person and between-person reliability, high convergent and moderate discriminant validity, and significant incremental validity. Assessing anxiety longitudinally using a smartphone and following EMA principles is feasible and can be reliable and valid. Studies combining EMA-based anxiety longitudinal assessments with other assessment methods deserve further research and may offer novel insights into human anxiety.