Factor Analysis With Unusual Sexual Interests: A Replication Study in a Representative Population Sample

A previous study found a variety of unusual sexual interests to cluster in a five-factor structure, namely submission/masochism, forbidden sexual activities, dominance/sadism, mysophilia, and fetishism (Schippers et al., 2021). The current study was an empirical replication to examine whether these findings generalized to a representative population sample. An online, anonymous sample (N = 256) representative of the Dutch adult male population rated 32 unusual sexual interests on a scale from 1 (very unappealing) to 7 (very appealing). An exploratory factor analysis assessed whether similar factors would emerge as in the original study. A subsequent confirmatory factor analysis served to confirm the factor structure. Four slightly different factors of sexual interest were found: extreme, illegal and mysophilic sexual activities; light BDSM without real pain or suffering; heavy BDSM that may include pain or suffering; and illegal but lower-sentenced and fetishistic sexual activities. The model fit was acceptable. The representative replication sample was more sexually conservative and showed less sexual engagement than the original convenience sample. On a fundamental level, sexual interest in light BDSM activities and extreme, forbidden, and mysophilic activities seem to be relatively separate constructs.

Knowledge, Awareness, and Practice of Safety and Emergency Response Among Scuba Divers in Malaysia: Questionnaire Development and Validation

INTRODUCTION

Safety has become paramount to ensure that scuba diving continues to expand into new markets, with minimal risks, and that scuba diving translates into a safe and relaxed adventure in response to growing market demands. Research focusing on assessing the knowledge, awareness, and practices (KAP) regarding safety and emergency response among scuba divers has been limited, and there is a need for validated assessment tools in this area.

METHODS

This study involved 555 scuba divers in Malaysia, and the questionnaire underwent a thorough development and validation process, including content and face validity assessments, as well as exploratory factor analysis. The validation of the knowledge domain was conducted using Item Response Theory (IRT) analysis, while awareness and practice were validated through exploratory and confirmatory factor analyses (EFA and CFA).

RESULTS

The content validity of the instrument was confirmed, with all items scoring over 80% for Item Content Validity Index (I-CVI), Scale Content Validity Index (S-CVI), and Scale Content Validity Index/Average (S-CVI/AVE). The initial draft comprises three domains: knowledge, awareness, and practice. Knowledge items were analyzed using IRT and demonstrated acceptable difficulty and discrimination levels. For the awareness and practice domains, EFA showed a Kaiser-Meyer-Olkin measure (KMO) of 0.83 and 0.79, respectively, with a significant Bartlett's test of Sphericity (P < 0.001). EFA yielded three factors for both awareness and practice domains with a total of 12 items for awareness and 13 items for practice, with satisfactory factor loadings (≥0.3). The final model of CFA showed good fits for both awareness and practice domains in terms of absolute, parsimonious, and comparative measures. The composite reliability of awareness was acceptable with Raykov's rho of 0.71, whereas the practice domain fell slightly below the acceptable threshold at 0.55. This was attributed to low factor loading and a limited number of items within each factor. The final questionnaire now consists of 20 items for knowledge, 10 items for awareness, and 12 items for the practice domain.

CONCLUSION

The results of this validation and reliability study indicate that the newly developed questionnaire possesses favorable psychometric properties for assessing KAP related to safety and emergency response in the scuba diving context. This research is essential for harmonizing the perspectives of crucial stakeholders within the recreational scuba diving industry.

Attitudes toward pre-symptomatic screening for Alzheimer's dementia in five European countries: a comparison of family members of people with Alzheimer's dementia versus non-family members

Introduction: Pre-symptomatic screening is getting more attention in healthcare as it detects the risk for developing neurodegenerative diseases like Alzheimer's disease (AD), which is very useful for treatment or prevention. AD screening could play an important role in individuals with at least one affected first-degree relative, but also without family history. As the demand for screening is rising worldwide, it is important to consider possible cross-cultural differences in attitudes toward pre-symptomatic screening in order to tailor healthcare services to the needs of each country. Objective: This study aims to investigate the attitudes of family members and non-family members of people with dementia toward pre-symptomatic screening and explore possible differences in attitudes across five European countries (Belgium, Germany, Greece, Spain, Turkey) using translated versions of the "Perceptions regarding pRE-symptomatic Alzheimer's Disease Screening" questionnaire (PRE-ADS). Methods: The multicultural sample (N = 650) was recruited from samples that were previously used in validation studies of the translated PRE-ADS versions. The subscale "Acceptability of Screening", consisting of five PRE-ADS items to specifically explore willingness to undergo screening, was created. Ιnternal consistency was measured, and structural validity was determined using Confirmatory Factor Analysis (CFA). Group comparisons were performed to investigate differences in attitudes toward pre-symptomatic AD screening regarding family history and country of origin using the PRE-ADS and the "Acceptability of Screening" mean scores. Results: Construct validity was acceptable for the PRE-ADS. Both the PRE-ADS (α = 0.76) and its subscale "Acceptability of Screening" (α = 0.90) had good internal consistency. Overall, 56.9% of the total sample expressed a positive intention toward pre-symptomatic AD screening. T-tests showed significantly higher mean scores of participants with an affected family member. An international comparison revealed differences in the "Acceptability of Screening" mean score across the five European countries. No cross-cultural differences were found for the PRE-ADS mean score after adjusting for confounding variables. Conclusion: The PRE-ADS and its subscale are reliable tools for assessing pre-symptomatic AD screening attitudes. Variations in the acceptability of screening seem to be linked to family history and cultural influences. Further research with larger samples is needed to explore underlying relationships.

Dysregulated Emotion and Trying Substances in Childhood: Insights from a Large Nationally Representative Cohort Study

OBJECTIVE

Transdiagnostic perspectives on the shared origins of mental illness posit that dysregulated emotion may represent a key driving force behind multiple forms of psychopathology, including substance use disorders. The present study examined whether a link between dysregulated emotion and trying illicit substances could be observed in childhood.

METHOD

In a large (N = 7,418) nationally representative sample of children (Mage = 9.9), individual differences in emotion dysregulation were indexed using child and parent reports of frequency of children's emotional outbursts, as well as children's performance on the emotional N-Back task. Two latent variables, derived from either parental/child-report or performance-based indicators, were evaluated as predictors of having ever tried alcohol, tobacco, or marijuana.

RESULTS

Results showed that reports of dysregulated emotion were linked to a greater likelihood of trying both alcohol and tobacco products. These findings were also present when controlling for individual differences in executive control and socioeconomic status.

CONCLUSIONS

These results suggest that well-established links between dysregulated negative emotion and substance use may emerge as early as in childhood and also suggest that children who experience excessive episodes of uncontrollable negative emotion may be at greater risk for trying substances early in life.

Measuring Dementia Knowledge in German: Validation and Comparison of the Dementia Knowledge Assessment Scale, the Knowledge in Dementia Scale, and the Dementia Knowledge Assessment Tool 2

BACKGROUND

Assessing dementia knowledge is critical for developing and improving effective interventions. There are many different tools to assess dementia knowledge, but only one has been validated in German so far.

OBJECTIVE

To validate two tools for assessing dementia knowledge-the Dementia Knowledge Assessment Scale (DKAS-D) and the Knowledge in Dementia Scale (KIDE-D) for the German general population-and compare their psychometric properties with the Dementia Knowledge Assessment Tool 2 (DKAT2-D).

METHODS

A convenience sample of 272 participants completed online surveys. Analyses included internal consistency, structural validity, construct validity through the known-groups method, retest-reliability with a subgroup of n = 88, and floor and ceiling effects. This study used the STROBE checklist.

RESULTS

Internal consistency was acceptable for DKAT2-D (α= 0.780), very good for DKAS-D (α= 0.873), and poor for KIDE-D (α= 0.506). Construct validity was confirmed for all questionnaires. Retest-reliability was good for DKAT2-D (0.886; 0.825-0.926) and KIDE-D (0.813; 0.714-0.878), while it was great for DKAS-D (0.928; 0.891-0.953). Trends toward ceiling effects were observed for DKAT2-D and KIDE-D, but not for DKAS-D. The principal component analysis did not reveal a coherent structure for DKAT2-D or KIDE-D, while the confirmatory factor analysis proposed the removal of 5 items for DKAS-D resulting in the shortened DKAS20-D, which had nearly identical properties.

CONCLUSION

Both DKAS-D and its shortened version, DKAS20-D, are reliable instruments for evaluating programs intended for the general population, as they were found to be convincing in all aspects.

Review of the psychometric properties of the Patient Health Questionnaire-9 (PHQ-9) Spanish version in a sample of Puerto Rican workers

Background

This study aimed to examine the internal structure and assess the psychometric properties of the Patient Health Questionnaire (PHQ-9) in a Puerto Rican sample of workers. This instrument is a nine-item questionnaire, which was conceptualized as a unidimensional structure; however, there are mixed results regarding this internal structure. This measure is used in the occupational health psychology context in organizations in Puerto Rico; nevertheless, there is little evidence of its psychometric properties with samples of workers.

Materials and methods

A total of 955 samples from two different study samples were used in this cross-sectional study design in which the PHQ-9 was used. We conducted confirmatory factor analysis, bifactor analysis, and random intercept item factor analysis to examine the internal structure of the PHQ-9. Moreover, a two-factor model was examined by randomly assigning items to the two factors. Measurement invariance across sex and the relationship with other constructs were examined.

Results

The best-fitted model was the bifactor model followed by the random intercept item factor. The five sets of two-factor models with items randomly assigned obtained acceptable and similar fit indices regardless of the items.

Conclusion

The results suggest that the PHQ-9 appears to be a reliable and valid instrument to measure depression. The more parsimonious interpretation of its scores, for now, is a unidimensional structure. Comparison across sex appears to be useful in occupational health psychology research settings since the results suggest that the PHQ-9 is invariant regarding this variable.

Can Faking Be Measured With Dedicated Validity Scales? Within-Subject Trifactor Mixture Modeling Applied to BIDR Responses

A sample of 516 participants responded to the Balanced Inventory of Desirable Responding (BIDR) under answer honest and instructed faking conditions in a within-subjects design. We analyze these data with a novel application of trifactor modeling that models the two substantive factors measured by the BIDR-self-deceptive enhancement (SDE) and impression management (IM), condition-related common factors, and item-specific factors. The model permits examination of invariance and change within subjects across conditions. Participants were able to significantly increase their SDE and IM in the instructed faking condition relative to the honest response condition. Mixture modeling confirmed the existence of a theoretical two-class solution comprised of approximately two thirds of "compliers" and one third of "noncompliers." Factor scores had good determinacy and correlations with observed scores were near unity for continuous scoring, supporting observed score interpretations of BIDR scales in high-stakes settings. Correlations were somewhat lower for the dichotomous scoring protocol. Overall, results show that the BIDR scales function similarly as measures of socially desirable functioning in low- and high-stakes conditions. We discuss conditions under which we expect these results will and will not generalize to other validity scales.

Development of a Perceptions of Online Learning Scale to Assess Teachers’ Beliefs

During the COVID pandemic, the sudden switch to online learning brought an unintended spotlight to this gradually expanding educational innovation. However, while numerous tools exist to assess student perceptions of or readiness for online learning quantitatively, a research gap exists regarding teachers' perceptions of online learning. To facilitate future research among teachers, the authors describe the development of a new perceptions of online learning scale (POOLS). The POOLS seeks to measure teachers' perceptions of online learning across four theoretical constructs associated with quality education in online and traditional face-to-face formats. The POOLS was constructed using expert review and a sample ( N=654), where an exploratory and confirmatory factor analysis were conducted on split halves of these data. The results of this initial validation study provide the basis for using the POOLS as an approach to measuring four aspects of perceptions of online learning: Effective Learning ([Formula: see text] = 0.77), Student-Centered Learning ([Formula: see text] = 0.67), Interactive Learning ([Formula: see text] = 0.73), and Engaged Learning ([Formula: see text] = 0.66). We recommend that the POOLS be used in research settings to describe the relationship among POOLS factors and other characteristics such as self-efficacy, amount or type of experience with online learning, and personality traits.

Block-Wise Model Fit for Structural Equation Models With Experience Sampling Data

Abstract. Common model fit indices behave poorly in structural equation models for experience sampling data which typically contain many manifest variables. In this article, we propose a block-wise fit assessment for large models as an alternative. The entire model is estimated jointly, and block-wise versions of common fit indices are then determined from smaller blocks of the variance-covariance matrix using simulated degrees of freedom. In a first simulation study, we show that block-wise fit indices, contrary to global fit indices, correctly identify correctly specified latent state-trait models with 49 occasions and N = 200. In a second simulation, we find that block-wise fit indices cannot identify misspecification purely between days but correctly rejects other misspecified models. In some cases, the block-wise fit is superior in judging the strength of the misspecification. Lastly, we discuss the practical use of block-wise fit evaluation and its limitations.

The Development of a Smart Health Awareness Message Framework Based on the Use of Social Media: Quantitative Study

Background

Social media has recently provided a remarkable means of delivering health information broadly and in a cost-effective way. Despite its benefits, some difficulties are encountered in attempting to influence the public to change their behavior in response to social media health messages.

Objective

This study aimed to explore the factors that affect individuals’ acceptance of using social media as a tool for receiving health awareness messages and adapting such content accordingly by developing a smart health awareness message framework.

Methods

A quantitative method was adapted to validate the hypotheses and proposed framework through the development of a survey based on the technology acceptance model with the extension of other constructs. The survey was distributed on the web to 701 participants from different countries via Qualtrics software; it generated 391 completed questionnaires, and the response rate was 55.8% (391/701).

Results

Of the 391 respondents, 121 (30.9%) used social media platforms often during the week, and 27 participants (6.9%) did not use social media. In addition, 24.0% (94/391) of the respondents used these platforms to seek health information. On the basis of the results, perceived usefulness (β=.37; P<.001), gain-framed message (β=.04; P<.001), and loss-framed message (β=.08; P<.001) were seen to positively and significantly influence people’s intention to use social media as a means to spread information about health promotion. The proposed smart health awareness message framework identifies 64.2% of the variance in intention to use, 55.4% of the variance of perceived usefulness, and 26.2% of the variance of perceived ease of use.

Conclusions

This study sheds light on the factors that are associated with people’s intention to use and adopt social media in the health promotion domain. The findings reveal that the intention of using social media for health awareness purposes is positively impacted by the perception of usefulness of social media and the design of health messages. Future research might seek to explore other factors that relate to people’s behavior. This point of view will assist health organizations in developing their health messages more effectively and to be patient friendly.

The well-being of China's rural to urban migrant children: Dual impact of discriminatory abuse and poverty

BACKGROUND

Post-migration experiences of discriminatory abuse and poverty have been recognized as key risk factors for psychopathology and health problems among children. However, little research has explored these associations among children participating in the internal migration process. Building on the stress and coping framework (Lazarus & Folkman, 1984), this study investigated the influence of discriminatory abuse and poverty on depressive symptoms and health problems in a group of Chinese migrant children. It also examined how a culturally based meaning-focused coping, as measured by Chinese beliefs about adversity scale, moderates the stress-distress associations.

PARTICIPANTS

A cross-sectional study was conducted among 1714 migrant youth (Mean Age = 13; Range = 10-16; 45.6 % Female).

METHODS

The latent variable interaction structural equation modeling was conducted to explore the main and interaction effects among studied variables.

RESULTS

High prevalence of depressive symptoms (49.6 %) was found for this sample. More than 90% of respondents reported on an average of 0-2 days as being sick over the past 30 days. Migrant youth were found to experience moderate levels of discriminatory abuse (M = 1.29, SD = 0.51; Range = 1-4) and economic stress (M = 1.38, SD = 1.25; Range = 1-4). The findings further revealed that discriminatory abuse and economic stress possessed severe consequences on their mental and physical health. The meaning-focused coping strategy weakened the relationship between discriminatory abuse and depressive symptoms (β=-0.07, p<.001). Among migrant youth who encountered discriminatory abuse those who adhered more to meaning-focused coping reported less depressive symptoms.

CONCLUSION

Findings shed light on the protective role of cultural factors in stress management for young people from migrant backgrounds.

The Relationship Between the Standardized Root Mean Square Residual and Model Misspecification in Factor Analysis Models

We argue that the definition of close fitting models should embody the notion of substantially ignorable misspecifications (SIM). A SIM model is a misspecified model that might be selected, based on parsimony, over the true model should knowledge of the true model be available. Because in applications the true model (i.e., the data generating mechanism) is unknown, we investigate the relationship between the population standardized root mean square residual (SRMR) values and various model misspecifications in factor analysis models to better understand the magnitudes of the SRMR. Summary effect sizes of misfit such as the SRMR are necessarily insensitive to some non-ignorable localized misspecifications (i.e., the presence of a few large residual correlations in large models). Localized misspecifications may be identified by examining the largest standardized residual covariance. Based on the findings, our population reference values for close fit are based on a two-index strategy: (1) largest absolute value of standardized residual covariance ≤0.10, and (2) SRMR ≤0.05× R¯2 the average R² of the manifest variables; for acceptable fit our values are 0.15 and 0.10× R¯2 , respectively.

Assessing the Size of Model Misfit in Structural Equation Models

When a statistically significant mean difference is found, the magnitude of the difference is judged qualitatively using an effect size such as Cohen's d. In contrast, in a structural equation model (SEM), the result of the statistical test of model fit is often disregarded if significant, and inferences are drawn using "close" models retained based on point estimates of sample statistics (goodness-of-fit indices). However, when a SEM cannot be retained using a test of exact fit, all substantive inferences drawn from it are suspect. It is therefore important to determine the size of the model misfit. Standardized residual covariances and residual correlations provide standardized effect sizes of the misfit of SEM models. They can be summarized using the Standardized Root Mean Squared Residual (SRMSR) and the Correlation Root Mean Squared Residual (CRMSR) which can be used as overall effect sizes of the misfit. Statistical theory is provided that allows the construction of confidence intervals and tests of close fit based on the SRMSR and CRMSR. It is hoped that the use of standardized effect sizes of misfit will help reconcile current practices in SEM and elsewhere in statistics.