scholarly journals The development of the Compulsive Sexual Behavior Disorder Scale (CSBD-19): An ICD-11 based screening measure across three languages

2020 ◽  
Vol 9 (2) ◽  
pp. 247-258 ◽  
Author(s):  
Beáta Bőthe ◽  
Marc N. Potenza ◽  
Mark D. Griffiths ◽  
Shane W. Kraus ◽  
Verena Klein ◽  
...  
Keyword(s):  
Sexual Behavior ◽  
High Risk ◽  
Measurement Invariance ◽  
Large Scale ◽  
Factor Model ◽  
Five Factor Model ◽  
Behavior Disorder ◽  
The United States ◽  
Compulsive Sexual Behavior ◽  
Negative Consequences

AbstractBackgroundCompulsive Sexual Behavior Disorder (CSBD) is included in the eleventh edition of The International Classification of Diseases (ICD-11) as an impulse-control disorder.AimsThe aim of the present work was to develop a scale (Compulsive Sexual Behavior Disorder Scale–CSBD-19) that can reliably and validly assess CSBD based on ICD-11 diagnostic guidelines.MethodFour independent samples of 9,325 individuals completed self-reported measures from three countries (the United States, Hungary, and Germany). The psychometric properties of the CSBD-19 were examined in terms of factor structure, reliability, measurement invariance, and theoretically relevant correlates. A potential threshold was determined to identify individuals with an elevated risk of CSBD.ResultsThe five-factor model of the CSBD-19 (i.e., control, salience, relapse, dissatisfaction, and negative consequences) had an excellent fit to the data and demonstrated appropriate associations with the correlates. Measurement invariance suggested that the CSBD-19 functions similarly across languages. Men had higher means than women. A score of 50 points was found as an optimal threshold to identify individuals at high-risk of CSBD.ConclusionsThe CSBD-19 is a short, valid, and reliable measure of potential CSBD based on ICD-11 diagnostic guidelines. Its use in large-scale, cross-cultural studies may promote the identification and understanding of individuals with a high risk of CSBD.

scholarly journals Addiction or Transgression? Moral Incongruence and Self-Reported Problematic Pornography Use in a Nationally Representative Sample

2020 ◽  
Vol 8 (5) ◽  
pp. 936-946 ◽  
Author(s):  
Joshua B. Grubbs ◽  
Brinna N. Lee ◽  
K. Camille Hoagland ◽  
Shane W. Kraus ◽  
Samuel L. Perry
Keyword(s):  
Sexual Behavior ◽  
Behavior Disorder ◽  
International Classification Of Diseases ◽  
The United States ◽  
Compulsive Sexual Behavior ◽  
Total N ◽  
Self Reports ◽  
Pornography Use ◽  
Nationally Representative ◽  
New Diagnosis

In the United States, pornography use is common, and it is increasingly a clinical concern under some circumstances. Excessive pornography use may qualify for the new diagnosis of compulsive sexual behavior disorder (CSBD) in the forthcoming 11th version of the International Classification of Diseases. There is also evidence, however, that moral incongruence (i.e., a misalignment of moral beliefs about sexual behavior and actual sexual behavior) may inflate self-reports of problems associated with pornography use. Prior work suggests religiousness may drive such moral incongruence. Using a large sample matched to U.S. representative norms (total: N = 2,519; past-year pornography users: n = 1,424, 66.4% men), we examined the interaction between pornography use and religiousness in predicting self-reported addiction to pornography. Results indicated that religiousness moderated the association between pornography use and self-reported addiction so that, despite a negative association between religiousness and use, at higher levels of religiousness, pornography use was more strongly related to self-reports of addiction.

Measurement Invariance of the Sexual Assault Script Scale (SASS): An Examination Among Hispanic and Non-Hispanic White College Women

2021 ◽  
pp. 088626052098549
Author(s):  
Elizabeth A. Yeater ◽  
Kristen N. Vitek ◽  
Ryan S. Ross ◽  
Meredith Blackwell ◽  
Katie Witkiewitz ◽  
...  
Keyword(s):  
Sexual Assault ◽  
College Women ◽  
Measurement Invariance ◽  
Sexual Victimization ◽  
Factor Model ◽  
The United States ◽  
Bisexual Women ◽  
Increased Risk ◽  
Hispanic White ◽  
White College

Rates of sexual victimization have remained steady over several decades, and preventative interventions to reduce men’s sexually aggressive behavior have been largely ineffective. As such, research has endeavored to find novel approaches to identify women at increased risk for sexual victimization. Sexual assault scripts, or “cognitive models” that women adhere to that guide their beliefs about sexual assault are posited to influence their victimization risk. Prior studies on sexual assault scripts primarily have been qualitative in nature; however, recent work yielded a 27-item measure of putative risk for sexual victimization called the Sexual Assault Script Scale (SASS). The SASS has four subscales called Stereotypical Assault Scripts, Acquaintance Assault Scripts, Assault Resistance Scripts, and Date/Friend Assault Scripts, which were found in prior work to be internally consistent and associated with putative risk factors for sexual victimization. The focus of the current study was to test the measurement invariance of the SASS among Hispanic and non-Hispanic White college women who were recruited in the prior study. Four hundred sixty-nine ( N = 469) Hispanic and 415 non-Hispanic White US undergraduate heterosexual or bisexual women from a Southwestern university in the United States completed the SASS. Confirmatory factor analysis (CFA) replicated the prior four-factor model with an acceptable fit to the data, and tests of measurement invariance revealed the SASS to be invariant across Hispanic and non-Hispanic White college women, suggesting that the SASS is measuring a similar construct in these groups.

scholarly journals Development and Assessment of a New Framework for Agricultural Nonpoint Source Pollution Control

Water ◽  
2021 ◽  
Vol 13 (22) ◽  
pp. 3156
Author(s):  
Lili Zhou ◽  
Runzhe Geng
Keyword(s):  
Spatial Distribution ◽  
Large Scale ◽  
Factor Model ◽  
Five Factor Model ◽  
Pollution Source ◽  
Nonpoint Source ◽  
Vegetation Coverage ◽  
Buffer Strip ◽  
Rural Living ◽  
Agricultural Nonpoint Source

The transport of agricultural nonpoint source (NPS) pollutants in water pathways is affected by various factors such as precipitation, terrain, soil erosion, surface and subsurface flows, soil texture, land management, and vegetation coverage. In this study, based on the transmission mechanism of NPS pollutants, we constructed a five-factor model for predicting the path-through rate of NPS pollutants. The five indices of the hydrological processes, namely the precipitation index (α), terrain index (β), runoff index (TI), subsurface runoff index (LI), and buffer strip retention index (RI), are integrated with the pollution source data, including the rural living, livestock and farmland data, obtained from the national pollution source census. The proposed model was applied to the headwater of the Miyun Reservoir watershed for identifying the areas with high path-through rates of agricultural NPS pollutants. The results demonstrated the following. (1) The simulation accuracy of the model is acceptable in mesoscale watersheds. The total nitrogen (TN) and total phosphorus (TP) agriculture loads were determined as 705.11 t and 3.16 t in 2014, with the relative errors of the simulations being 19.62% and 24.45%, respectively. (2) From the spatial distribution of the agricultural NPS, the TN and TP resource loads were mainly distributed among the upstream of Dage and downstream of Taishitun, as well as the towns of Bakshiying and Gaoling. The major source of TN was found to be farmland, accounting for 47.6%, followed by livestock, accounting for 37.4%. However, the path-through rates of TP were different from those of TN; rural living was the main TP source (65%). (3) The path-through rates of agricultural NPS were the highest for the towns of Wudaoying, Dage, Tuchengzi, Anchungoumen, and Huodoushan, where the path-through rate of TN ranged from 0.17 to 0.26. As for TP, it was highest in Wudaoying, Kulongshan, Dage, and Tuchengzi, with values ranging from 0.012 to 0.019. (4) A comprehensive analysis of the distribution of the NPS pollution load and the path-through rate revealed the towns of Dage, Wudaoying, and Tuchengzi as the critical source areas of agricultural NPS pollutants. Therefore, these towns should be seriously considered for effective watershed management. In addition, compared with field monitoring, the export coefficient model, and the physical-based model, the proposed five-factor model, which is based on the path-through rate and the mechanism of agricultural NPS pollutant transfer, cannot only obtain the spatial distribution characteristics of the path-through rate on a field scale but also be applicable to large-scale watersheds for estimating the path-through rates of NPS pollutants.

scholarly journals Do self-reports and informant-ratings measure the same personality constructs?

2017 ◽  
Author(s):  
René Mõttus ◽  
Jüri Allik ◽  
Anu Realo
Keyword(s):  
Measurement Invariance ◽  
Factor Model ◽  
Five Factor Model ◽  
Rater Agreement ◽  
Informant Ratings ◽  
Self Reports

Personality researchers often supplement or substitute self-reports with ratings from knowledgeable informants, at least implicitly assuming that the same constructs are measured regardless of the source of ratings. However, measurement invariance (MI) of personality constructs across these rating types has rarely been empirically tested. Here, this was done for the Five-Factor Model domains and their 30 facets (N = 3,253). Four domains and 26 facets showed the level of invariance (metric MI) required for comparing the relative standings of individuals across self-reports and informant-ratings, which is what researchers mostly do. However, 28 of the 35 scales failed to achieve the level of invariance (scalar MI) recommended when comparing mean scores. Self-informant pairs who contributed to higher MI also tended to display higher cross-rater agreement. In conclusion, self-reports and informant-ratings appear to measure reasonably similar constructs for most research purposes, but poor MI may contribute to imperfect cross-rater agreement.

scholarly journals An empirical study of affective and cognitive functions in Compulsive Sexual Behavior Disorder

2021 ◽  
Author(s):  
Małgorzata Draps ◽  
Guillaume Sescousse ◽  
Mateusz Wilk ◽  
Katarzyna Obarska ◽  
Izabela Szumska ◽  
...  
Keyword(s):  
Sexual Behavior ◽  
Significant Interaction ◽  
Behavior Disorder ◽  
Stop Signal Task ◽  
Group Differences ◽  
Compulsive Sexual Behavior ◽  
Delay Task ◽  
Sensorimotor Systems ◽  
Punishment Sensitivity ◽  
Positive Valence

AbstractBackground and aimsDespite the inclusion of the Compulsive Sexual Behavior Disorder (CSBD) in the International Classification of Diseases, very little is known about the underlying affective and cognitive processes. To fill this gap, we compared CSBD subjects and Healthy-Controls (HC) across negative/positive valence, cognitive and sensorimotor systems, as proposed by the Research Domain Criteria framework.Methods74 heterosexual CSBD and 66 matched HC males were studied with 10 questionnaires and 8 behavioral tasks. Analyses were conducted with frequent and Bayesian statistics.ResultsCSBD individuals showed significantly higher (than HC) punishment sensitivity, anxiety, depression, compulsivity, and impulsivity symptoms. Frequentist statistical analysis revealed significant interaction between subject group and condition in Incentive Delay Task, concerning the strength of motivation and hedonic value of erotic rewards. Bayesian analysis produced evidence for the absence of group differences in Facial Discrimination Task, Risk-Ambiguity Task, and Learning Task. Also, Bayesian methods provided evidence for group differences in the Emotional Stroop Task and the Incentive Delay Task. Sexual Discounting Task, Attentional Network Task, and Stop Signal Task produced mixed results.ConclusionsHigher punishment sensitivity and impulsivity among CSBD subjects, along with significant interaction between these groups and erotic vs. non-erotic reward processing is in line with previous findings on negative/positive valence alterations in CSBD patients. This result shows that there are similarities to substance and behavioral addictions. The absence of group differences and mixed results related to cognitive and sensorimotor systems raise concerns to what extent CSBD resembles a wide spectrum of impairments observed in disorders, and demand further research.

scholarly journals Does the Strengths and Difficulties Questionnaire – self report yield invariant measurements across different nations? Data from the International Child Mental Health Study Group

2014 ◽  
Vol 24 (4) ◽  
pp. 323-334 ◽  
Author(s):  
D. Stevanovic ◽  
R. Urbán ◽  
O. Atilola ◽  
P. Vostanis ◽  
Y. P. Singh Balhara ◽  
...  
Keyword(s):  
Measurement Invariance ◽  
Conduct Problems ◽  
Factor Model ◽  
Five Factor Model ◽  
Strengths And Difficulties Questionnaire ◽  
Self Report ◽  
Health Study ◽  
Prosocial Behaviour ◽  
Emotional Symptoms ◽  
Strengths And Difficulties

Aims.This study evaluated the measurement invariance of the strengths and difficulties questionnaire (SDQ) self-report among adolescents from seven different nations.Methods.Data for 2367 adolescents, aged 13–18 years, from India, Indonesia, Nigeria, Serbia, Turkey, Bulgaria and Croatia were available for a series of factor analyses.Results.The five-factor model including original SDQ scales emotional symptoms, conduct problems, hyperactivity–inattention problems, peer problems and prosocial behaviour generated inadequate fit degree in all countries. A bifactor model with three factors (i.e., externalising, internalising and prosocial) and one general problem factor yielded adequate degree of fit in India, Nigeria, Turkey and Croatia. The prosocial behaviour, emotional symptoms and conduct problems factor were found to be common for all nations. However, originally proposed items loaded saliently on other factors besides the proposed ones or only some of them corresponded to proposed factors in all seven countries.Conclusions.Due to the lack of a common acceptable model across all countries, namely the same numbers of factors (i.e., dimensional invariance), it was not possible to perform the metric and scalar invariance test, what indicates that the SDQ self-report models tested lack appropriate measurement invariance across adolescents from these seven nations and it needs to be revised for cross-country comparisons.

scholarly journals A-12 The Dimensionality of Symptoms Before and After Sport-Related Concussion

2020 ◽  
Vol 35 (6) ◽  
pp. 785-785
Author(s):  
J Karr ◽  
G Iverson
Keyword(s):  
Measurement Invariance ◽  
Factor Model ◽  
Five Factor Model ◽  
Fit Indices ◽  
Factor Analyses ◽  
Post Injury ◽  
Specific Symptom ◽  
Bifactor Models ◽  
Before And After ◽  
Sleep Arousal

Abstract Objective Multiple factor analyses have examined the dimensionality of physical, emotional, and cognitive symptoms both before and after a sport-related concussion. The current study compared model fit and measurement invariance of five candidate factor models, including a one-factor model, original four-factor model (cognitive-sensory, vestibular-somatic, sleep-arousal, and affective), alternative four-factor model (cognitive, physical, sleep-arousal, and affective), five-factor model (cognitive-sensory separated), and bifactor model. Method Student athletes (N = 1,554; 56.7% boys; age: M = 16.1 ± 1.2) completed the Post-Concussion Symptoms Scale (PCSS) at preseason baseline and after a suspected concussion. Confirmatory factor analyses were conducted at both time points, with pre-injury to post-injury measurement invariance models (configural, weak, strong, and strict) also examined. Model results were assessed via fit indices (CFI ≥ .90/RMSEA≤.08) and change-in-fit indices (∆CFI ≤ -.01). Results All models other than the one-factor model showed excellent fit before and after concussion (CFIs>.95/RMSEAs < .06). Based on pre-injury to post-injury invariance analyses, full weak invariance was established for both four-factor and the bifactor models, and partial strict invariance was established for each of these models following modifications. Conclusions Support for partial strict invariance indicates that meaningful comparisons can be made between factor means before and after concussion for the four-factor and bifactor models, evidencing the validity of a total symptom score and specific symptom subscales before and after concussion. The alternative four-factor model may offer an improved conceptual framework compared to the original four-factor model, which included a non-intuitive cognitive-sensory factor. These findings could support the development of normative scores for PCSS subscales for use in research and clinical practice.

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