Psychometric Properties of the Daily Spiritual Experiences Scale: Support for a Two-Factor Solution, Concurrent Validity, and Its Relationship with Clinical Psychological Distress in University Students

The associations between religiosity and the Big-Five personality traits in college students from Sudan

Research on the association between religiosity and personality with Arab participants is rare. The aim of the present study was to explore this association using a sample (N = 623) of college students from Sudan. They responded to the Arabic Scale of Intrinsic Religiosity and the Arabic Big-Five Personality Inventory. The results indicated that men obtained a significantly higher mean score than did women for extraversion, whereas women obtained higher mean total scores for religiosity and neuroticism than did men. For both genders, religiosity was significantly and positively associated with agreeableness and conscientiousness. In college men only, religiosity was significantly correlated with extraversion. A principal components analysis of the combined sample of men and women retained two components and labeled "Positive traits" and "Neuroticism and Introversion". Predictors of religiosity were Agreeableness and Conscientiousness. The model explains 42% of the variance. It was concluded that the associations observed in the Sudanese sample reflect the general pattern observed in other international samples.

PCDM and PCDM4MP: New Pairwise Correlation-Based Data Mining Tools for Parallel Processing of Large Tabular Datasets

The paper describes PCDM and PCDM4MP as new tools and commands capable of exploring large datasets. They select variables based on identifying the absolute values of Pearson’s pairwise correlation coefficients between a chosen response variable and any other existing in the dataset. In addition, for each pair, they also report the corresponding significance and the number of non-null intersecting observations, and all this reporting is performed in a record-oriented manner (both source and output). Optionally, using threshold values for these three as parameters of PCDM, any user can select the most correlated variables based on high magnitude, significance, and support criteria. The syntax is simple, and the tools show the exploration progress in real-time. In addition, PCDM4MP can trigger different instances of Stata, each using a distinct class of variables belonging to the same dataset and resulting after simple name filtering (first letter). Moreover, this multi-processing (MP) version overcomes the parallelization limitations of the existing parallel module, and this is accomplished by using vertical instead of horizontal partitions of large flat datasets, dynamic generation of the task pattern, tasks, and logs, all within a single execution of this second command, and the existing qsub module to automatically and continuously allocate the tasks to logical processors and thereby emulating with fewer resources a cluster environment. In addition, any user can perform further selections based on the results printed in the console. The paper contains examples of using these tools for large datasets such as the one belonging to the World Values Survey and based on a simple variable naming practice. This article includes many recorded simulations and presents performance results. They depend on different resources and hardware configurations used, including cloud vs. on-premises, large vs. small amounts of RAM and processing cores, and in-memory vs. traditional storage.

Factor Structure of the Daily Spiritual Experiences Scale in a Polish-Christian Sample

The current article presents the factor structure of the Daily Spiritual Experience Scale (DSES) in a Polish-Christian sample. The DSES is a scale that attempts to measure a person’s perception of transcendent experiences in daily life. It covers the following constructs: awe, gratitude, mercy, a sense of connection with the transcendent, and compassionate love. Most validation studies on the DSES show the scale loadings on a single factor, although different populations can show different factor loadings. The study aims to verify the factor structure of the DSES results and to test the psychometric properties of its Polish version. The results of exploratory factor analysis conducted on a sample of 246 individuals and confirmatory factor analysis performed in a sample of 738 participants supported the single-factor model, which includes all 16 items of the DSES. Therefore, it was concluded that qualitatively different spiritual experiences have one common and integrated core with a homogeneous structure. Very high values of internal consistency measures indicate the excellent reliability of the Polish version of the DSES.

Five-Factor Model Personality Traits and Self-Classified Religiousness and Spirituality

A review of the literature investigating the relationship between religion and spirituality and broad personality traits reveals methodological limitations. The present study sought to contribute to the present literature by investigating differences on personality traits among men and women who identified as either religious only (R), spiritual only (S), both spiritual and religious (B), or neither spiritual nor religious (N). One thousand thirty-seven (1037) adults (M age = 36.34, SD = 12.62) participated online via Amazon's Mechanical Turk as part of a larger study and completed the IPIP-NEO-120, Spiritual Transcendence Scale, Duke University Religion Index, and demographic information. Results revealed that men were more likely to identify as R and N than women, and women were more likely to identify as B than men. Women showed more significant differences among Big Five traits than men. Compared to other women, R-women reported the lowest levels of Openness, Agreeableness, and Neuroticism, and highest levels of Extraversion. N-women reported the highest levels of Neuroticism, while S-women reported highest Openness. Among men, R-men reported the lowest Openness, and S-men reported the highest Openness. B-men reported higher Extraversion than N-men. Additionally, Big Five traits appeared to account for significantly more variance in self-reported religiousness for women than men. Implications of these findings and recommendations for future research are provided and discussed.

Differences in Distress and Utilization of Mental Health Services between 2005 and 2018: a Potential Trend?

This study examined possible differences in self-reported psychological distress and need of treatment in two samples of well-educated adults, which were obtained from two larger studies that were conducted separately in 2005 and 2018. Psychological distress and need for treatment were reported using the Langner Symptom Survey, a psychometrically robust measure of nonspecific distress that provides validated cutoff scores for those in need of receiving mental healthcare services. Treatment utilization was examined through self-report in which respondents indicated whether they had never received treatment, previously received treatment, or were currently receiving treatment. Results suggested that a larger percentage of respondents from the 2018 sample reported current counseling (11.8%) compared to the 2005 sample (4.0%), and they were almost twice as likely to be classified as distressed and in need for treatment than their 2005 counterparts (51.9% compared to 33.2% in 2005; odds ratio = 2.17, 95% CI: 1.59-2.97). Implications for these findings are discussed at length.

Religious Integration and Psychological Distress: Different Patterns in Emerging Adult Males and Females

This study examined differences between male and female emerging adults on low, moderate, and high levels of religious integration in relation to psychological distress. Participants were recruited from undergraduate courses at a religiously affiliated, Midwestern university and completed the integration scale of the Personal Religious Inventory and the Langner Symptom Survey. Due to significantly higher reports of religious integration in female participants, the sample was separated by sex. A significant, negative correlation between religious integration and psychological distress was found only for females. Similarly, females in the low religious integration group reported significantly higher levels of psychological distress than females high in religious integration, while no differences were found among males. This study corroborates previous research suggesting a general link between religion and mental health, but further suggests religious integration and psychological distress are uniquely related for males and females. Possible reasons and future areas of study are noted.

Confirming the Tripartite Structure of the Duke University Religion Index: A Methodological Approach

The present study provided a methodological critique regarding psychometric investigations of the Duke University Religion Index (DUREL) and its variants. Nine hundred seventeen (630 females and 287 males) university students (M age = 19.24) completed the DUREL, the Personal Religious Inventory, and the Daily Spiritual Experiences Scale online. Confirmatory factor analyses were performed to assess a three-factor (organizational religious activity; non-organizational religious activity; and intrinsic religiosity) and a unidimensional model of the DUREL. Chi-square difference tests were performed, and Akaike information criterion values and Bayesian information criterion values were compared between the models, each of which supported the three-factor model for the DUREL over the unidimensional model. Convergent validity for the three factors of the DUREL emerged through Spearman's rho correlations with measures of personal prayer, ritual religious attendance, religious integration, Closeness to the Divine. This study concluded that the DUREL is a multidimensional measurement of religion for use in English-speaking university students, and it provided a broad methodological note regarding future investigations of measures of religion or spirituality that possess an existing theoretical model.

Multidimensionality of the Langner Symptom Survey and Replication of a Cutoff Score in Emerging Adults

This study investigated the dimensionality of the Langner Symptom Survey and replicated a recent finding regarding a clinically validated cutoff score in emerging adults. Nine hundred thirteen (631 females and 282 males) students at a private university in the Midwestern United States participated online as part of a larger study and completed the Langner Symptom Survey and a demographic questionnaire. Results from exploratory principal components and confirmatory factor analyses provided support for both a six- and three-factor model of the Langner Symptom Survey, with the three-factor model offering marginally better confirmatory fit indices and greater parsimony of interpretation. A cutoff score of 5 denoting clinically significant psychological distress and need for treatment was supported through analysis of receiver-operating characteristic, sensitivity, specificity, and total classification accuracy based on psychological service utilization, and this result successfully replicated a recently published finding. The Langner Symptom Survey may function as a multidimensional measure of psychological distress and need for treatment in emerging adults that may need a lexical update.