Explanatory and Confirmatory Factor Structure of Beck Scale for Suicide Ideation in Non-clinical Sample

2017 ◽  
Vol 41 (S1) ◽  
pp. S139-S139 ◽  
Author(s):  
R. Alsalman ◽  
B. Alansari
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Suicide Ideation ◽  
Factor Model ◽  
Clinical Sample ◽  
Self Report ◽  
Kuwait University ◽  
Factor Ii ◽  
Confirmatory Factor ◽  
Three Factor

IntroductionThe Beck Scale for Suicidal Ideation (BSS) is a self-report 19-item scale preceded by five screening items. The BSS and its screening items are intended to assess a patient's thoughts, plans and intent to commit suicide. All 24 items are rated on a three-point scale (0 to 2). In this study, scores from the five screening items were included in the overall score. Therefore, total scores could range from 0 to 48.There is no study until this date that examines the factor structure of BSS among Kuwaitis.ObjectivesThe current study investigated the original three-factor model of the (BSS) in non-clinical sample.MethodsSample one consisted of 285 males and 300 female students from Kuwait University while sample two consisted of 201 males and 302 females from Kuwait University. The Arabic version of BSS was administered to participants. Explanatory factor based on sample 1 and conformity factor analysis based on sample 2 of BSS were used in this study.ResultsThe explanatory and confirmatory factor analysis of (BSS) extracts three factors and three structures of BSS. Factor I = active suicidal desire; Factor II = preparation; Factor III = passive suicidal desire. In addition, the results revealed no significant gender differences in the factor structure of BSS.ConclusionsThe results of both confirmatory and exploratory factor analysis indicated that the original three-factor model provided the best fit for the two genders.

Explanatory and Confirmatory Factor Structure of Beck Anxiety Inventory in College Sample

2017 ◽  
Vol 41 (S1) ◽  
pp. S108-S108
Author(s):  
S. Kareemi ◽  
B.M. Alansari
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Clinical Sample ◽  
Self Report ◽  
Beck Anxiety Inventory ◽  
College Sample ◽  
Two Samples ◽  
Confirmatory Factor ◽  
Males And Females ◽  
Competing Interest

IntroductionThe Beck anxiety inventory (BAI) is a widely used 21-item self-report inventory used to assess anxiety levels in adults and adolescents in both clinical and non-clinical populations. The values for each item are summed yielding an overall or total score for all 21 symptoms that can range between 0 and 63 points. A total score of 0–7 is interpreted as a “Minimal” level of anxiety; 8–15 as “Mild”; 16–25 as “Moderate”, and; 26–63 as “Severe”. There is no study until this date that examines the Explanatory and confirmatory factor structure factor structure of BAI in college student in Kuwaiti.ObjectivesThe current study investigated the original four-factor structure of the (BAI) in non-clinical sample of college students.MethodsSample one consisted of 540 males and females while sample two consisted of 600 males and females from Kuwait University undergraduates. The Arabic version of BAI was administered to participants. Explanatory factor analysis based on sample one and conformity factor analysis based on sample 2.ResultsThe results revealed four factor structures of BAI in the two samples of Kuwaiti students. Which included neurophysiological, subjective, autonomic, and panic factors.ConclusionsThe results of both confirmatory and exploratory factor analysis indicated that the original four-factor structures of the BAI do provide the best fit for the college sample.Disclosure of interestThe authors have not supplied their declaration of competing interest.

scholarly journals An Investigation on the Factor Structure of Schutte Self Report Emotional Intelligence Test in Indian Student Sample

2017 ◽  
Vol 4 (2) ◽  
Author(s):  
Dr. Thiruchelvi Arunachalam ◽  
Dr. Yogesh Palanichamy
Keyword(s):  
Factor Analysis ◽  
Emotional Intelligence ◽  
Factor Structure ◽  
Factor Model ◽  
Intelligence Test ◽  
Self Report ◽  
Structure Model ◽  
Student Sample ◽  
Indian Student ◽  
Confirmatory Factor

Schutte et. al., (1998) developed and validated a measure of emotional intelligence called as SSEIT. From a pool of 62 items, Schutte et. al., (1998) extracted 33 items which were proposed to be homogenous in nature. In simple words, uni-dimensionality has been identified in Schutte et. al., (1998)’s work. This study attempts to find the factor structure of SSEIT in the Indian sample. Using exploratory factor analysis, a four factor structure model of SSEIT is reported. A four factor model has been hypothesized, which is tested using confirmatory factor analysis. The model is found to be fit with the necessary indices falling within the acceptable limits.

Psychometric Assessment of Motives for Using Cocaine in Men with Substance Use Disorders

1997 ◽  
Vol 80 (1) ◽  
pp. 189-190 ◽  
Author(s):  
L. Charles Ward ◽  
Brian C. Kersh ◽  
Debra Shanks
Keyword(s):  
Substance Use ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Self Report ◽  
Drinking Motives ◽  
Psychometric Assessment ◽  
Confirmatory Factor ◽  
Social Coping

A 15-item self-report questionnaire from a previous study of social, coping, and enhancement motives for drinking was reworded to assess motives for using cocaine. Data from 121 cocaine users indicated satisfactory reliabilities for the 3 new 5-item scales, and the fit of a 3-factor structure in confirmatory factor analysis was comparable to that of the earlier study of drinking motives. Removal of 4 items substantially improved the fit to the 3-factor model without reducing reliabilities. Some evidence of validity was inferred from a correlation between reported use of cocaine for coping and a measure of general maladjustment.

scholarly journals Resilience in Nicaragua: Preliminary Factor Analysis and Validation of the CYRM-28

2021 ◽  
Vol 8 (1) ◽  
pp. 1-11
Author(s):  
B. Cameron Stumpf ◽  
Kelly B. T. Chang
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Cultural Context ◽  
Factor Model ◽  
Self Report ◽  
Improve Model ◽  
Wellbeing Index ◽  
Confirmatory Factor ◽  
Social Belonging ◽  
Personal Wellbeing

Objectives: The current study used factor analytic techniques to examine the performance of the Child and Youth Resilience Measure (CYRM-28) in Nicaragua. Method: Nicaraguan youth from Managua, León, Chinandega, and Granada (n = 2,764) completed the CYRM-28 and the Personal Wellbeing Index (PWI-A). The CYRM-28 and PWI-A are self-report measures that were translated into Spanish in previous studies. Results: A confirmatory factor analysis on the CYRM-28 did not support the eight-factor model from previous research. An exploratory factor analysis yielded a six-factor model: Social Belonging, Cultural Context, Caregiver Context, Social Skills, Spiritual Context, and Responsibility. Seven items were removed to improve model fit, reducing the CYRM-28 to only 21 items. We named this the CYRM-21-N (Nicaragua). Conclusion: The CYRM-28 did not yield an eight-factor structure in our data from Nicaraguan youth. Implications: From our analyses, we constructed the CYRM-21-N, a briefer version of the CYRM-28 with a revised factor structure. The CYRM-21-N may be useful in studying youth populations or assessing intervention outcomes in Nicaragua.

scholarly journals The 21-item Barratt Impulsiveness Scale Revised (BIS-R-21): An alternative three-factor model

2020 ◽  
Vol 9 (2) ◽  
pp. 225-246
Author(s):  
Máté Kapitány-Fövény ◽  
Róbert Urbán ◽  
Gábor Varga ◽  
Marc N. Potenza ◽  
Mark D. Griffiths ◽  
...  
Keyword(s):  
Factor Structure ◽  
Factor Model ◽  
Measurement Model ◽  
Self Report ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Barratt Impulsiveness Scale ◽  
Confirmatory Factor ◽  
Cognitive Impulsivity ◽  
Three Factor

AbstractBackground and aimsDue to its important role in both healthy groups and those with physical, mental and behavioral disorders, impulsivity is a widely researched construct. Among various self-report questionnaires of impulsivity, the Barratt Impulsiveness Scale is arguably the most frequently used measure. Despite its international use, inconsistencies in the suggested factor structure of its latest version, the BIS-11, have been observed repeatedly in different samples. The goal of the present study was therefore to test the factor structure of the BIS-11 in several samples.MethodsExploratory and confirmatory factor analyses were conducted on two representative samples of Hungarian adults (N = 2,457; N = 2,040) and a college sample (N = 765).ResultsAnalyses did not confirm the original model of the measure in any of the samples. Based on explorative factor analyses, an alternative three-factor model (cognitive impulsivity; behavioral impulsivity; and impatience/restlessness) of the Barratt Impulsiveness Scale is suggested. The pattern of the associations between the three factors and aggression, exercise, smoking, alcohol use, and psychological distress supports the construct validity of this new model.DiscussionThe new measurement model of impulsivity was confirmed in two independent samples. However, it requires further cross-cultural validation to clarify the content of self-reported impulsivity in both clinical and nonclinical samples.

scholarly journals Bayesian and Maximum-Likelihood Modeling and Higher-Level Scores of Interpersonal Problems With Circumplex Structure

2021 ◽  
Vol 12 ◽  
Author(s):  
Anneke C. Weide ◽  
Vera Scheuble ◽  
André Beauducel
Keyword(s):  
Factor Analysis ◽  
Maximum Likelihood ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Clinical Sample ◽  
Level Structure ◽  
Interpersonal Problems ◽  
Online Questionnaire ◽  
Confirmatory Factor ◽  
Three Factor

Difficulties in interpersonal behavior are often measured by the circumplex-based Inventory of Interpersonal Problems. Its eight scales can be represented by a three-factor structure with two circumplex factors, Dominance and Love, and a general problem factor, Distress. Bayesian confirmatory factor analysis is well-suited to evaluate the higher-level structure of interpersonal problems because circumplex loading priors allow for data-driven adjustments and a more flexible investigation of the ideal circumplex pattern than conventional maximum likelihood confirmatory factor analysis. Using a non-clinical sample from an online questionnaire study (N = 822), we replicated the three-factor structure of the IIP by maximum likelihood and Bayesian confirmatory factor analysis and found great proximity of the Bayesian loadings to perfect circumplexity. We found additional support for the validity of the three-factor model of the IIP by including external criteria-Agreeableness, Extraversion, and Neuroticism from the Big Five and subclinical grandiose narcissism-in the analysis. We also investigated higher-level scores for Dominance, Love, and Distress using traditional regression factor scores and weighted sum scores. We found excellent reliability (with Rtt ≥ 0.90) for Dominance, Love, and Distress for the two scoring methods. We found high congruence of the higher-level scores with the underlying factors and good circumplex properties of the scoring models. The correlational pattern with the external measures was in line with theoretical expectations and similar to the results from the factor analysis. We encourage the use of Bayesian modeling when dealing with circumplex structure and recommend the use of higher-level scores for interpersonal problems as parsimonious, reliable, and valid measures.

Peter Pan Syndrome “Men Who Don’t Grow”: Developing a Scale

2019 ◽  
pp. 1097184X1987485 ◽  
Author(s):  
Melek Kalkan ◽  
Meryem Vural Batık ◽  
Leyla Kaya ◽  
Merve Turan
Keyword(s):  
Factor Analysis ◽  
Factor Model ◽  
Self Report ◽  
Professional Relationships ◽  
Peter Pan ◽  
Adult Age ◽  
Syndrome Scale ◽  
Confirmatory Factor ◽  
Power Perception ◽  
Three Factor

Peter Pan Syndrome is a concept that used to characterize the “never-growing” men who have reached an adult age, but cannot face their adult sensations and responsibilities. Individuals with Peter Pan Syndrome have difficulties in social and professional relationships because of their irresponsible behaviors and narcissistic properties. The purpose of this study is to develop a scale in order to measure the level of Peter Pen Syndrome in male individuals. In accordance with this purpose, the draft form was sent to experts to get their feedback, and some statements have been revised in accordance with the feedback. The Peter Pan Syndrome Scale is a twenty-two-item self-report measurement, and each item is evaluated on five-point Likert Type scale. Construct validity of the scale was determined by exploratory factor analysis (EFA) and a three-factor model was created, namely, “Escape from Responsibility”, “Power Perception,” and “Never Growing Child”. EFA results shows that these three factors were describing 47.05% of the variance. Results of EFA were verified by confirmatory factor analysis (CFA). The internal consistency coefficient and the confidence coefficient of the split-half were used to determine the reliability of the scale. The Cronbach’s alpha value was found to be 0.88 for the total scale.

Factorial Structure of the Therapist Adherence Measure-Revised (TAM-R) Within Multisystemic Therapy

2020 ◽  
Vol 36 (2) ◽  
pp. 427-431
Author(s):  
Aurelie M. C. Lange ◽  
Marc J. M. H. Delsing ◽  
Ron H. J. Scholte ◽  
Rachel E. A. van der Rijken
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Multisystemic Therapy ◽  
Model Fit ◽  
Validity And Reliability ◽  
Adherence Measure ◽  
Therapist Adherence ◽  
Confirmatory Factor ◽  
The Us

Abstract. The Therapist Adherence Measure (TAM-R) is a central assessment within the quality-assurance system of Multisystemic Therapy (MST). Studies into the validity and reliability of the TAM in the US have found varying numbers of latent factors. The current study aimed to reexamine its factor structure using two independent samples of families participating in MST in the Netherlands. The factor structure was explored using an Exploratory Factor Analysis (EFA) in Sample 1 ( N = 580). This resulted in a two-factor solution. The factors were labeled “therapist adherence” and “client–therapist alliance.” Four cross-loading items were dropped. Reliability of the resulting factors was good. This two-factor model showed good model fit in a subsequent Confirmatory Factor Analysis (CFA) in Sample 2 ( N = 723). The current finding of an alliance component corroborates previous studies and fits with the focus of the MST treatment model on creating engagement.

An investigation into the factor structure of the Cognitive Therapy Scale – Revised (CTS-R) in a CBT training sample

2021 ◽  
pp. 1-11
Author(s):  
Sarah Beale ◽  
Silia Vitoratou ◽  
Sheena Liness
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Cognitive Therapy ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Single Factor ◽  
Behaviour Therapy ◽  
Cognitive Behaviour ◽  
Confirmatory Factor

Abstract Background: Effective monitoring of cognitive behaviour therapy (CBT) competence depends on psychometrically robust assessment methods. While the UK Cognitive Therapy Scale – Revised (CTS-R; Blackburn et al., 2001) has become a widely used competence measure in CBT training, practice and research, its underlying factor structure has never been investigated. Aims: This study aimed to present the first investigation into the factor structure of the CTS-R based on a large sample of postgraduate CBT trainee recordings. Method: Trainees (n = 382) provided 746 mid-treatment audio recordings for depression (n = 373) and anxiety (n = 373) cases scored on the CTS-R by expert markers. Tapes were split into two equal samples counterbalanced by diagnosis and with one tape per trainee. Exploratory factor analysis was conducted. The suggested factor structure and a widely used theoretical two-factor model were tested with confirmatory factor analysis. Measurement invariance was assessed by diagnostic group (depression versus anxiety). Results: Exploratory factor analysis suggested a single-factor solution (98.68% explained variance), which was supported by confirmatory factor analysis. All 12 CTS-R items were found to contribute to this single factor. The univariate model demonstrated full metric invariance and partial scalar invariance by diagnosis, with one item (item 10 – Conceptual Integration) demonstrating scalar non-invariance. Conclusions: Findings indicate that the CTS-R is a robust homogenous measure and do not support division into the widely used theoretical generic versus CBT-specific competency subscales. Investigation into the CTS-R factor structure in other populations is warranted.

scholarly journals Factor Structure and Reliability of Dyadic Adjustment Scale (DAS) in Russian Population

2018 ◽  
Vol 26 (3) ◽  
pp. 105-126
Author(s):  
J.M. Poliakova ◽  
M.G. Sorokova ◽  
N.G. Garanian
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
External Validity ◽  
Well Being ◽  
Dyadic Adjustment ◽  
Subjective Well Being ◽  
Dyadic Adjustment Scale ◽  
Russian Version ◽  
Confirmatory Factor ◽  
Three Factor

This study examines the psychometric properties of the Russian-version of G. Spanier’s Dyadic Adjustment Scale (DAS). 302 subjects (84 couples) participated in this research and each partner responded individually to the PFB or to both scales. The results of the exploratory factor analysis revealed a three-factor structure of the scale, which was endorsed by the means of confirmatory factor analysis. Three subscales and total score revealed appropriate reliability — internal consistency and split reliability. The construct validity was confirmed by correlations between DAS subscales and other instruments testing theoretically close constructs. External validity was confirmed by correlations between DAS subscales and perfectionism which shows that mentally focusing on one’s imperfections and failures is negatively related to subjective well-being in a marriage.

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