Bifactor Confirmatory Factor Analysis Research Articles

Domain-specific associations between psychopathology and neurocognitive functioning.

Neurocognitive dysfunction is a transdiagnostic finding in psychopathology, but relationships among cognitive domains and general and specific psychopathology dimensions remain unclear. This study aimed to examine associations between cognition and psychopathology dimensions in a large youth cohort. The sample (N = 9350; age 8-21 years) was drawn from the Philadelphia Neurodevelopmental Cohort. Data from structured clinical interviews were modeled using bifactor confirmatory factor analysis (CFA), resulting in an overall psychopathology ('p') factor score and six orthogonal psychopathology dimensions: dysphoria/distress, obsessive-compulsive, behavioral/externalizing, attention-deficit/hyperactivity, phobias, and psychosis. Neurocognitive data were aggregated using correlated-traits CFA into five factors: executive functioning, memory, complex cognition, social cognition, and sensorimotor speed. We examined relationships among specific and general psychopathology dimensions and neurocognitive factors. The final model showed both overall and specific associations between cognitive functioning and psychopathology, with acceptable fit (CFI = 0.91; TLI = 0.90; RMSEA = 0.024; SRMR = 0.054). Overall psychopathology and most psychopathology dimensions were negatively associated with neurocognitive functioning (phobias [p < 0.0005], behavioral/externalizing [p < 0.0005], attention-deficit/hyperactivity [p < 0.0005], psychosis [p < 0.0005 to p < 0.05]), except for dysphoria/distress and obsessive-compulsive symptoms, which were positively associated with complex cognition (p < 0.05 and p < 0.01, respectively). By modeling a broad range of cognitive and psychopathology domains in a large, diverse sample of youth, we found aspects of neurocognitive functioning shared across clinical phenotypes, as well as domain-specific patterns. Findings support transdiagnostic examination of cognitive performance to parse variability in the link between neurocognitive functioning and clinical phenotypes.

Validity and Reliability of the Empowered Veteran Index-Short Form (EVI-SF)

ABSTRACT Purpose Veteran empowerment may include connection, community impact, and personal growth. At least one valid and reliable tool has been developed to measure the aforementioned framework: the empowered veteran index (EVI). However, there is a need for a shorter measure to prevent survey fatigue. Materials and methods We recruited military veteran members of a nonprofit (n = 316), The Mission Continues, for participation in this cross-sectional online survey study. Participants completed the 35-item EVI. A short form of the EVI (EVI-SF) was developed through bifactor confirmatory factor analysis (CFA). Results The 10-item EVI-SF model demonstrated satisfactory performance (χ2 p = 0.68, SRMR = 0.02, RMSEA = 0.01, CFI = 0.99, TLI = 0.99). All factor loadings in this model were ≥ 0.30, providing evidence for the validity of the interval structure. Internal consistency reliability was good for all three subscales (omegas >0.7). Discussion Analysis of the EVI-SF showed that the instrument was valid and reliable. The EVI-SF contains 10 items with seven-point Likert scale response options. Use of the instrument may provide for the opportunity to measure empowerment of military veterans. Conclusion This study provides preliminary psychometric validation of the EVI-SF.

Psychometric validation of the Danish version of the Major Depression Inventory using data from the Lolland-Falster health study (LOFUS)

Purpose The Major Depression Inventory (MDI) is a widely used self-rating depression scale commonly in primary care in Denmark. It has not been subject to robust psychometric validation in a general population setting. The aim of this study was to evaluate the psychometric measurement properties of the MDI when applied in the general population. Methods We evaluated statistical psychometric validity using modern test theory (confirmatory factor analysis, item response theory models and Rasch measurement theory) testing local independence and differential item function across groups defined by gender, age, education, and chronic disease status. Separate analyses across different strata and across different statistical models were employed. Results Regarding structural validity we consistently identified local dependence for the item two pairs (MDI2,MDI3) and (MDI4,MDI5) across strata. This result was confirmed by bifactor CFA models and item screening. We further identified substantial differential item functioning with respect to age group and with respect to chronic disease. We identified quantified the magnitude of this lack of measurement invariance. Conclusion The MDI is psychometrically valid in homogenous sub populations, but the disclosed evidence of local dependence means that published estimates of its reliability cannot be trusted. The lack of measurement invariance means that the instrument cannot be used to compare individuals or groups unless they are similar in terms of age group and chronic disease status.

Conceptualization and measurement of foreign language playfulness via exploratory structural equation modeling

The current research sought to conceptualize and measure foreign language playfulness (FLP), a recently developed construct in second language acquisition (SLA), through exploratory structural equation modeling (ESEM), a recently introduced scale measurement approach. Using a sample of 208 Iranian undergraduate language learners, we employed a series of statistical techniques to examine the underlying structure, best fitting model, psychometric properties, measurement invariance, and factor correlation of a new measure of FLP. Findings showed that bifactor EFA, compared with EFA, provided better representation for the underlying structure of the FLPS. Multiple model comparisons indicated that the bifactor ESEM model had a more satisfying representation of the FLPS than the other models (CFA, bifactor CFA, and ESEM). Cronbach's α and omega (ω) demonstrated that the FLPS is a reliable instrument. The bifactor ESEM model of the FLPS was also invariant across genders. Finally, factor correlation in ESEM exhibited a more accurate reflection of the association between the two factors (intellectual playfulness and other-directed playfulness) of the FLPS. The results were discussed by highlighting the importance of using ESEM to validate psychological constructs in SLA.

Assessing the patient's affective perception of their psychotherapist: validation of the in-Session Patient Affective Reactions Questionnaire.

Psychotherapists need effective tools to monitor changes in the patient's affective perception of the therapist and the therapeutic relationship during sessions to tailor therapeutic interventions and improve treatment outcomes. This study aims to evaluate the factor structure, reliability, and validity of the in-Session Patient Affective Reactions Questionnaire (SPARQ), a concise self-report measure designed for practical application in real-world psychotherapy settings. Validation data was gathered from (N = 700) adult patients in individual psychotherapy. These patients completed the SPARQ in conjunction with additional measures capturing sociodemographic details, characteristics of therapeutic interventions, individual personality traits, mental health symptom severity, elements of the therapeutic relationship, and session outcomes. This comprehensive approach was employed to assess the construct and criterion-related validity of the SPARQ. The SPARQ has a two-factor structure: Positive Affect (k = 4, ω total = .87) and Negative Affect (k = 4, ω total = .75). Bifactor confirmatory factor analysis (CFA) yielded the following fit indices: X2[df] = 2.53, CFI = .99; TLI = .98; RMSEA = .05; and SRMR = .02. Multi-group CFAs demonstrated measurement invariance (i) across patients who attended psychotherapy sessions in person versus in remote mode, and (ii) across patients with and without psychiatric diagnoses confirmed metric invariance. Furthermore, the SPARQ showed meaningful correlations with concurrently administered measures. The SPARQ proves to be a valuable instrument in clinical, training, and research contexts, adept at capturing patients' session-level affective responses towards their therapist and perceptions of the therapeutic alliance. Comprehensive descriptive statistics and a range of score precision indices have been reported, intended to serve as benchmarks for future research.

Cross-Cultural Adaptation and Psychometric Properties of the Persian Version of the Life Skills Scale for Physical Education

Purpose: The purpose of this research was to develop and assess the psychometric properties of the Persian version of the Life Skills Scale for Physical Education (P-LSSPE). Method: During Study 1, which included four translators, eight physical education experts, and 45 physical education students, the LSSPE was translated and adapted into Persian, and its content validity was assessed. Study 2 assessed evidence for the factorial validity and reliability of the scale with a sample of 1,004 students. Study 3, which included 462 students, assessed nomological validity evidence. Results: In Study 1, the content validity analyses indicated that the P-LSSPE items and their dimensions were clear in language, practical in application, and represented the life skills in question. In Study 2, a bifactor confirmatory factor analysis model was the best representation of the data and provided evidence for the construct validity of the scale. In Study 3, evidence for the nomological validity of the P-LSSPE was provided, with the correlation coefficients indicating that teacher autonomy support was associated with students’ development of all eight life skills and total life skills. Discussion/Conclusion: Overall, the findings of this research suggest that the P-LSSPE can be used to accurately measure the life skills development of Iranian physical education students.

Longitudinal change of intrinsic capacity and associated factors in older Chinese adults: China Health and Retirement Longitudinal Study

BackgroundAlthough intrinsic capacity (IC) has been constructed in older populations, whether IC retains the same structure over time has not been formally examined, nor have the factors associated with the changes in IC over time been thoroughly investigated. This study aimed to establish that the structure of IC remains unchanged over time by testing its longitudinal measurement invariance and to investigate factors that influence the longitudinal change of IC over time. MethodsData came from 7,271 participants aged 60 and older from the China Health and Retirement Longitudinal Study in 2011 (Wave 1) and 2015 (Wave 3). Bifactor confirmatory factor analysis (CFA) was used to construct IC with its domains, and the longitudinal measurement invariance of IC between Waves was tested. ResultsBifactor CFA fitted the data well at both Waves and showed good construct validity. Partial scalar invariance was supported with non-invariant intercepts for delayed word recall, math, and close vision. Decreases in IC were associated with increasing age, being female (−0.030, 95% CI: −0.045, −0.016), living in rural areas (−0.019, 95% CI: −0.030, −0.009), BMI < 18.5 (−0.019, 95% CI: −0.035, −0.003), and hypertension (−0.012, 95% CI: −0.022, −0.001). Increases in IC were associated with higher education (primary school: 0.012, 95% CI: 0.001, 0.024; lower secondary school: 0.023, 95% CI: 0.005, 0.041) and drinking ≥4/week (0.019, 95% CI: 0.003, 0.034). Stratifying the sample by gender, the protective effect of education was observed only in women. ConclusionsThe bifactor structure of the IC construct was valid and retained its meaning over time. Longitudinal changes in IC were associated with various sociodemographic factors, lifestyle, and health conditions, confirming the need to monitor IC for timely intervention, particularly in those with risk factors for IC decline.

Misbegotten methodologies and forgotten lessons from Tom Swift's electric factor analysis machine: A demonstration with competing structural models of psychopathology.

Confirmatory factor analysis (CFA) and its bifactor models are popular in empirical investigations of the factor structure of psychological constructs. CFA offers straightforward hypothesis testing but has notable pitfalls, such as the imposition of strict assumptions (i.e., simple structure) that obscure unmodeled complexity. Due to the limitations of bifactor CFAs, they have yielded anomalous results across samples and studies that suggest model misspecification (e.g., evaporating specific factors and unexpected loadings). We propose the use of exploratory factor analysis (EFA) to evaluate the structural validity of CFA solutions-either before or after the estimation of more restrictive CFA models-to (a) identify model misspecifications that may drive anomalous estimates and (b) confirm CFA models by examining whether hypothesized structures emerge with limited researcher input. We evaluated the degree to which predominant factor structures were invariant across contexts along the exploratory-confirmatory continuum and demonstrate how poor methodological choices can distort results and impede theory development. All CFA models fit well, but there were numerous differences in replicability and substantive interpretability. Several similarities emerged between bifactor CFA and EFA models, including evidence of overextraction, the collapse of specific factors onto the general factor, and subsequent shifts in how the general factor was defined. We situate these methodological shortcomings within the broader literature on structural models of psychopathology, articulate implications for theories (such as the p-factor) that are borne out of factor analysis, outline several remedies for problems encountered when performing exploratory bifactor analysis, and propose alternative specifications for confirmatory bifactor models. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Psychometric properties of the Spanish adaptation of the Mental Health Continuum—Short Form: A bifactor ESEM approach in an adolescent sample

The mental health continuum—short form (MHC-SF) is a measure that has been increasingly used to assess the positive mental health of the general population. Past research has revealed that the exploratory structural equation modeling (ESEM) technique yielded the best results for exploring the factorial structure of this measure. However, this technique has not been applied to the Spanish adaptation of the MHC-SF in adolescents. The present study aims for an in-depth examination of the structure of this scale in a population of Spanish adolescents (n = 465) by implementing ESEM. Different competing models were tested using confirmatory factor analysis (CFA) and ESEM. Measurement invariance, internal reliability, and construct validity were also assessed (n = 382). The findings favored the bifactor ESEM model over the commonly used three-factor structure and the bifactor CFA. The general positive mental health factor was reliable and supported convergent and discriminant validity. The findings confirm that the MHC-SF in a Spanish adolescent sample is best represented by combining the bifactor structure with a general positive mental health factor and ESEM. This study considers the implications derived from implementing this model.

Development and Validation of Responses to Personal Mortality Measure

The aim of this study was to develop and validate the Responses to Personal Mortality Measure (RPMM), a new self-report tool to assess existential skills in relating to personal mortality. Items reflecting responses to personal mortality were generated and then selected through a rating process. They were further refined using Three-Step Test Interviews (TSTI). The psychometric properties of 91 items were explored with an online sample of 869 respondents, randomly divided into an exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) subsamples. Through EFA, six factors were obtained: Emotional Response, Self-Oriented Acceptance, Transcendental Acceptance, Relational Acceptance, Relief Acceptance, and Avoidance. Internal consistency coefficients ranged between .90 and .97 ( M = .94). The six-factor model showed good fit statistics in traditional and bifactor CFAs. The construct and incremental validity were supported by relationships with the Psychological Well-Being Scale (PWB-42); the Meaning in Life Questionnaire (MLQ); the Depression, Anxiety and Stress Scale-21 (DASS-21); the Existential Death Anxiety Scale (EDAS); and the Existential Anxiety Questionnaire (EAQ). The RPMM is a self-report tool of responses to personal mortality that can be used to evaluate the relationship between existential skills and psychological wellbeing. Further research is needed to examine the psychometric properties of the RPMM in a clinical sample.

Teacher-reported instructional quality in the context of technology-enhanced teaching: The role of teachers’ digital competence-related beliefs in empowering learners

Teachers' competence-related beliefs are crucial in determining teachers' professional competence and instructional quality. However, in the context of technology-enhanced teaching, studies regarding competence-related beliefs, specifically competence dimensions and their relations to instructional quality, are limited. Against this backdrop, the purpose of the present study is twofold: The first is to test the factorial structure of a measure that assesses teachers' competence-related beliefs in the dimension of empowering learners with its subdimensions of differentiation and actively engaging learners based on the European Framework for the Digital Competence of Educators (DigCompEdu). The second is to examine the relations between competence-related beliefs and teachers' reported use of digital technologies to enhance classroom management, cognitive activation, and supportive climate. Based on data from 145 teachers (73.1% female), both the factorial structure and the relations were analyzed using various approaches of structural equation modeling. The results supported the bifactor confirmatory factor analysis model with a general factor defined as empowering learners as well as two subdimensions representing differentiation and actively engaging learners. Teachers' competence-related beliefs regarding differentiation and empowering learners are positively related to the teacher-reported use of technologies to enhance instructional quality. Understanding the structure of teachers' competence-related beliefs about empowering learners and their relations to instructional quality in technology-enhanced teaching is relevant for teacher education to address learners’ diverse learning needs, as well as to promote active and creative engagement.

Revisiting after-class boredom via exploratory structural equation modeling

Abstract Boredom has recently become the subject of inquiry in L2 studies, which has resulted, among others, in the development and validation of several boredom-measuring scales, mostly through exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). However, such analytical procedures are not free from limitations and exploratory structural equation modeling (ESEM) can be applied to overcome them. CFA has also been used to validate the Boredom in Learning English Outside of School Questionnaire (BLEOS), an instrument which taps into recently conceptualized after-class boredom, revealing the extent to which students are likely to feel bored when they attempt to practice the target language outside the classroom as well as factors underpinning this negative emotion in such contexts. The present study sought to revisit the BLEOS scale to determine (1) whether the factor structure of the BLEOS is supported by ESEM and bifactor ESEM, (2) how stable the results are across gender, and (3) the criterion-related validity of the BLEOS scale. In doing so, the CFA and ESEM models (i.e., standard and bifactor CFA as well as standard and bifactor ESEM models) were compared to identify which model(s) would exhibit better fit indices for the measure in question. A total of 433 students majoring in English, 120 males and 313 females, participated in this study. It was revealed that while the CFA model provided an inflated factor correlation and unacceptable model fit to the data, ESEM (especially bifactor ESEM) indicated a realistic representation of the data with a good fit. The bi-factor ESEM model of the BLEOS turned out to be stable across gender. Finally, the structural bifactor ESEM model of BLEOS proved to explain learning outcomes modestly.

What makes electricity consumers change their behavior? Influence of attitude and perceived impact of DR programs on awareness

PurposeIn this study, the authors propose a confirmatory factor analysis (CFA) to create a tenable measurement model and identify the factors that have the potential to enhance awareness of pro-environmental measures. The successful implementation of demand response (DR) programs and their required infrastructure is significant for moving towards green energy communities and a better environment for living. Not only can renewable energy capacities contribute to this desideratum, but also electricity consumers who, until the last decade, have played a passive role.Design/methodology/approachTo answer these questions, a complex data set of 243 post-trial questions created by the Irish CER are analyzed using first-order and hierarchical CFA models with several SAS procedures (PROC CALIS, MIANALYZE). The questionnaire was launched to over 3,000 electricity consumers from Ireland that were participants to a trial program after the installation of smart metering systems and implementation of DR programs.FindingsThe effect of five latent factors – positive attitude, negative attitude, perceived impact of own actions, price- and incentive-DR programs – is measured. With a bi-factor CFA measurement model, the authors assess that they significantly influence the electricity consumers' awareness.Research limitations/implicationsHowever, these findings have to be backed up by relevant information and simulations showing consumers benefits in exchange to their efforts. They have research implications on the design of the business models and DR programs pointing out the importance of benefits and fairness of value sharing mechanisms within energy communities.Practical implicationsThus, the electricity consumers may change their consumption behavior as they positively perceive the implementation of DR programs.Originality/valueThis paper fulfills an identified need to study post-trial questionnaire and reveal latent factors that make electricity consumer change their behavior.

Ceiling effects and differential measurement precision across calibrated cognitive scores in the Framingham Study.

To calibrate cognitive assessment data across multiple waves of the Framingham Heart Study (FHS), addressing study design considerations, ceiling effects, and measurement precision. FHS participants completed several cognitive assessments including screening instruments and more comprehensive batteries at different study visits. We used expert opinion to assign each cognitive test item to a single domain-memory, executive function, language, visuospatial abilities, or none of the above. As part of a larger cross-study harmonization effort, we calibrated each domain separately using bifactor confirmatory factor analysis (CFA) models, incorporating item parameters for anchor items previously calibrated from other studies and freely estimating item parameters for FHS-specific items. We obtained scores and standard errors (SEs) for each participant at each study visit. We addressed psychometric considerations of ceiling effects and measurement precision. Overall, memory domain scores were the most precisely estimated. Scores for all domains from visits where the Mini-Mental State Examination (MMSE) was the only test administered were imprecisely estimated and suffered from ceiling effects. Scores from visits with a more extensive battery were estimated more precisely and better differentiated between ability levels. The harmonized and calibrated cognitive data from the FHS should prove useful for future analyses examining cognition and cognitive decline. They will be of particular interest when combining FHS with other studies that have been similarly calibrated. Researchers should be aware of varying levels of measurement precision and the possibility of ceiling effects in their planned analyses of data from the FHS and similar studies. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Dissociation in a developmental psychopathology framework: Predictors and outcomes among a clinical sample of trauma-impacted adolescents.

A confirmatory factor analysis (CFA) of the Adolescent Dissociative Experiences Scale (A-DES) that found a best-fitting three-factor model for a trauma-exposed sample was recently replicated; however, a post hoc bifactor CFA model fit the data better and identified a strong general factor. Only the general factor was associated with cumulative trauma exposure, but this association was small. Structural equation modeling (SEM) and regression analyses were applied to the best-fitting three-factor bifactor model of dissociation found in the same sample of 1,157 treatment-seeking adolescents, most with high levels of trauma exposure, to further elucidate dissociation's construct validity and dimensionality. The general factor was positively yet differentially associated with psychosocial outcomes. A dissociation by age interaction emerged for internalizing problems, demonstrating that the positive association was stronger for older participants. Also, an age of trauma exposure onset by dissociation interaction emerged predicting depression, such that later trauma onset produced a stronger association between dissociation and depression. Traumas occurring in later adolescence may confer greater risk of dissociation. Differential psychosocial outcomes also reinforce why approaching dissociation from a developmental psychopathology lens is important, enhancing the model's generalizability. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Dissociation: Factor structure and the role of trauma among treatment-seeking adolescents.

Research examining the factor structure of the Adolescent Dissociative Experiences Scale (A-DES) has yielded mixed findings. This study sought to further clarify the factor structure of the A-DES among youth with histories of exposure to multiple traumas and adversities. We conducted a factor analysis of the A-DES using data from 1,157 treatment-seeking adolescents with histories of trauma exposure in order to expand understanding of dissociation's construct validity and provide the first attempt at post hoc analysis of trauma-impacted adolescents. A bifactor CFA model fit the data best and identified a strong general factor, supporting a unidimensional latent structure. Only the general dissociation factor was associated with cumulative trauma exposure, operationalized as the number of different types of exposure endorsed on the Trauma History Profile (THP), but this association was small. The study findings point toward a unidimensional conceptualization of dissociation. A developmental psychopathology framework is recommended for future research, allowing a nuanced and integrated approach to understanding dissociation and increasing generalizability across adolescents. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Climate for evidence-based mental health care implementation in Germany: psychometric investigation of the Implementation Climate Scale (ICS)

Organizational implementation climate is an important construct in implementation research to describe to what extent implementation is expected, supported, and rewarded. Efforts in bridging the research-practice gap by implementing evidence-based practice (EBP) can benefit from consideration of implementation climate. The Implementation Climate Scale (ICS) is a psychometrically strong measure assessing employees’ perceptions of the implementation climate. The present cross-sectional study aimed at providing a German translation and investigating its psychometric properties. The translation followed standard procedures for adapting psychometric instruments. German psychotherapists (N = 425) recruited online completed the ICS, the Evidence Based Practice Attitudes Scale (EBPAS-36D) and the Intention Scale for Providers (ISP). We conducted standard item and reliability analyses. Factorial validity was assessed by comparing an independent cluster model of Confirmatory Factorial Analysis (ICM-CFA), a Bifactor CFA, a Second-order CFA and an (Bifactor) Exploratory Structural Equation Model (ESEM). Measurement invariance was tested using multiple-group CFA and ESEM, convergent validity with correlation analysis between the ICS and the ISP subjective norms subscale (ISP-D-SN). The mean item difficulty was pi = .47, mean inter-item correlation r = .34, and mean item-total correlation ritc = .55. The total scale (ω = 0.91) and the subscales (ω = .79–.92) showed acceptable to high internal consistencies. The model fit indices were comparable and acceptable (Second-order CFA: RMSEA [90% CI] = .077 [.069; .085], SRMR = .078, CFI = .93). Multiple-group CFA and ESEM indicated scalar measurement invariance across gender and presence of a psychotherapy license. Psychotherapists in training reported higher educational support for EBP than licensed psychotherapists (T = 2.09, p = .037, d = 0.25). The expected high correlation between the ICS and the ISP-D-SN was found (r = .59, p < .001). Results for the German ICS confirm good psychometric properties including validity.

An Impartial Measure of Collective Action

Abstract: In three studies, we developed and validated the Belief-aligned Collective Action scale (BCA), a new measure of collective action that discriminates the so far confounded engagement in collective action from the ideological stance on the issue. In Studies 1a ( N = 585 Italian adult participants, 61% women) and 1b ( N = 296 British adult participants, 52% women), an Exploratory Factor Analysis identified two factors, Normative and Non-normative actions. In Study 2 ( N = 602 Italian adult participants, 50% women), a bifactor Confirmatory Factor Analysis showed an adequate fit of the two-factor structure. Across studies, the scale presents good internal reliability (as indicated by Cronbach’s α and ω total) and correlations in the predicted direction with common predictors of collective action, namely efficacy, anger, and group identity. Furthermore, Study 2 shows the generalizability of the scale to multiple topics, of which some are more relevant to left-wing people (e.g., wealth tax) and some to right-wing people (e.g., abortion). In these cases, we find no evidence for the effect of ideological variables such as political orientation and system justification. This tool allows researchers to assess collective action unbiasedly, contributing to the bridging of the ideological knowledge gap in the field of social psychology.

Developing a Jordanian Measure of Reverence in Muslim Praying ('Khushoo'): Content Validity, Factor Structure and Reliability.

Many Muslims complain of straying while praying because of life's problems and psychological pressures (i.e., reflecting on topics other than prayer). To assess this problem, it was necessary to develop a measure of reverence in Muslim praying (MRMP). The study aimed to collect items from the theoretical literature and investigate these to determine the validity of the content by consultation with a group of experts (n = 17), after which the number of items was reduced to 39. The study focused on two random and completely different samples. The first sample (n = 396) was used to verify the validity of exploratory factor analysis (EFA). The results showed that the following four factors explain 67.27% of the variance in the total scale: groveling, focused attention, contemplation, and praying behavior control. The second sample (n = 362) was used to verify the confirmatory factor analysis (CFA) as well as the convergent validity and reliability of the data. Additionally, the four factors were confirmed using bifactor confirmatory factor analysis (B-CFA) and met the criteria for fitness. Likewise, all correlation values between the MRMP and mental health, mindfulness, happiness, and well-being were significant. In addition, the Cronbach's alpha coefficients of the four factors ranged between 0.85and0.77 and the total score was 0.92. Finally, the correlations between the MRMP and the four factors were significant. The study concluded that the MRMP is appropriate for assessing reverence in Muslim praying, can be used to promote psychological health in the context of prayers, and can serve as a foundation for future research.

How do students’ achievement goals relate to learning from well-designed instructional videos and subsequent exam performance?

Well-designed instructional videos are powerful tools for helping students learn and prompting students to use generative strategies while learning from videos further bolsters their effectiveness. However, little is known about how individual differences in motivational factors, such as achievement goals, relate to how students learn within multimedia environments that include instructional videos and generative strategies. Therefore, in this study, we explored how achievement goals predicted undergraduate students’ behaviors when learning with instructional videos that required students to answer practice questions between videos, as well as how those activities predicted subsequent unit exam performance one week later. Additionally, we tested the best measurement models for modeling achievement goals between traditional confirmatory factor analysis and bifactor confirmatory factor analysis. The bifactor model fit our data best and was used for all subsequent analyses. Results indicated that stronger mastery goal endorsement predicted performance on the practice questions in the multimedia learning environment, which in turn positively predicted unit exam performance. In addition, students’ time spent watching videos positively predicted practice question performance. Taken together, this research emphasizes the availing role of adaptive motivations, like mastery goals, in learning from instructional videos that prompt the use of generative learning strategies.