The Shame and Guilt Scales of the Test of Self-Conscious Affect–Adolescent (TOSCA-A): Factor Structure, Concurrent and Discriminant Validity, and Measurement and Structural Invariance Across Ratings of Males and Females

Assessment ◽  
2015 ◽  
Vol 24 (4) ◽  
pp. 517-527 ◽  
Author(s):  
Shaun Watson ◽  
Rapson Gomez ◽  
Eleonora Gullone
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Discriminant Validity ◽  
Mean Squared Error ◽  
Factor Model ◽  
Chi Square ◽  
Multiple Group ◽  
Confirmatory Factor ◽  
Shame And Guilt ◽  
The Difference

This study examined various psychometric properties of the items comprising the shame and guilt scales of the Test of Self-Conscious Affect–Adolescent. A total of 563 adolescents (321 females and 242 males) completed these scales, and also measures of depression and empathy. Confirmatory factor analysis provided support for an oblique two-factor model, with the originally proposed shame and guilt items comprising shame and guilt factors, respectively. Also, shame correlated with depression positively and had no relation with empathy. Guilt correlated with depression negatively and with empathy positively. Thus, there was support for the convergent and discriminant validity of the shame and guilt factors. Multiple-group confirmatory factor analysis comparing females and males, based on the chi-square difference test, supported full metric invariance, the intercept invariance of 26 of the 30 shame and guilt items, and higher latent mean scores among females for both shame and guilt. Comparisons based on the difference in root mean squared error of approximation values supported full measurement invariance and no gender difference for latent mean scores. The psychometric and practical implications of the findings are discussed.

Adapting and validating the Rosenberg Self-Esteem Scale for elderly Spanish population

2019 ◽  
Vol 32 (2) ◽  
pp. 183-190
Author(s):  
Teresa Mayordomo ◽  
Margarita Gutierrez ◽  
Alicia Sales
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Internal Consistency ◽  
Factor Model ◽  
The Elderly ◽  
Self Esteem ◽  
Population Based ◽  
Spanish Population ◽  
Chi Square ◽  
Confirmatory Factor

ABSTRACTObjectives:This study aims to adapt and validate the most common measure of self-esteem, the Rosenberg Self-Esteem Scale (RSES), in the elderly Spanish population based on the initial one-factor model proposed by the author of the scale.Design:The factorial validity of the scale was tested using confirmatory factor analysis.Setting:The study was carried out in the city of Valencia (Spain).Participants:A total of 231 elderly people with a mean age 72.68 (SD=8.55).Measurements:The participants completed the questionnaire RSES for the validation process, sociodemographic data and Mini-Mental State Examination.Results:Confirmatory factor analysis with a five-item structure for the one-factor structure showed good fit indexes (Chi square [5] = 217.20, p < .05; CFI = .965; GFI = .980; RMSEA = .070 [90% confidence interval of RMSEA, .022-.087]), and reliability, as internal consistency, measure with Cronbach’s alpha was .732.Conclusion:The adaptation of the RSES showed a unifactorial structure with good internal consistency. This reduced adaptation/version of the scale may facilitate clinical practice and be useful in research in older people.

scholarly journals The validation of Corona Anxiety Questionnaire in Iranian Population

2021 ◽  
Author(s):  
Morteza Mehraeen ◽  
Mohammad Reza Heydari ◽  
Hassan Joulaei ◽  
Marjan Faghih
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Discriminant Validity ◽  
Factor Model ◽  
Kappa Statistic ◽  
Iranian Population ◽  
Validity And Reliability ◽  
Convergent And Discriminant Validity ◽  
Confirmatory Factor ◽  
Anxiety Questionnaire

Abstract Background: Anxiety is an evolutionary mental status that alerts a person from possible dangers: inside or outside dangers. One of the external dangers that threaten global society these days is Corona's disease. It has reported since 2020 January in Iran and has killed more than 8000 people during 5 month. But someone are unaware of the importance and danger of Corona or they don't consider any reason to worry. The aim of this study was to design and standardize a special questionnaire for corona anxiety in the Iranian population. Because of it, with the help of 10 psychologists and psychiatrics found 8 scales and wrote 36 question. Questionnaire asked from 523 internet operators by porsline.ir all over Iran. Method: To assess the reliability, kappa statistic was calculated and for construct validity, exploratory factor analysis (EFA) with Varimax rotation and confirmatory factor analysis (CFA) were used. Convergent and discriminant validity was checked using Spearman correlation and for content validity index (CVR) was used. Result: Reliability for the most items was high. Questionnaire showed excellent convergent and discriminant validity except for social support subscale. The results of categorical confirmatory factor analysis supported the fit of the eight-factor model of the Corona Anxiety Scales-36. Furthermore, the average of CVR was higher than acceptance level (0.62). Conclusion: The findings showed that the corona anxiety questionnaire is a questionnaire with appropriate validity and reliability for use in anxiety related to the unknown corona disease.

An Assessment of the Construct Distinctiveness of Stress Arousal and Burnout

2006 ◽  
Vol 99 (2) ◽  
pp. 396-406 ◽  
Author(s):  
Kenneth J. Smith ◽  
Jeanette A. Davy ◽  
George S. Everly
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Latent Variables ◽  
Discriminant Validity ◽  
Factor Model ◽  
Strong Support ◽  
Maslach Burnout Inventory ◽  
Significant Loss ◽  
Staff Members ◽  
Confirmatory Factor

This study examined the construct and discriminant validity of stress arousal and burnout as measured on the Stress Arousal Scale and the multidimensional role-specific version of the Maslach Burnout Inventory, respectively. The analyses utilized data from 148 individuals randomly selected from a database of 563 respondents to a larger study. The sample responded to a survey sent to members of the American Institute of Certified Public Accountants (AICPA). Sample size used in this study fell within Loehlin's 1992 prescription that for confirmatory factor analysis with two to four factors, a minimum of 100 to 200 cases should be collected. Forty-six respondents indicated that they were partners, principals, or sole practitioners in accounting firms, and 103 indicated that they were staff members (juniors, seniors, or managers). Latent variables were first constructed for the stress arousal and burnout factors. Confirmatory factor analysis was then conducted on the scale data to assess whether the factors would load on their respective underlying theoretical constructs. Finally, a nested model constraining stress arousal and burnout to load on one underlying construct was tested against the hypothesized two-factor model. The results indicated good model fit for the two-factor model and a significant loss of fit for the one-factor model, thus providing strong support for the conceptualization of stress arousal and burnout as distinct constructs.

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.

Confirmatory Factor Analysis, Internal Consistency, Gender Differential Item Functioning and Discriminant Validity of the Fear of COVID-5 Scale Amidst Emerging Adult University Students in Mexico

2021 ◽  
pp. 003022282110162
Author(s):  
Adalberto Campo-Arias ◽  
Andrés Felipe Tirado-Otálvaro ◽  
Isabel Álvarez-Solorza ◽  
Carlos Arturo Cassiani-Miranda
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Differential Item Functioning ◽  
Internal Consistency ◽  
Discriminant Validity ◽  
Emerging Adult ◽  
One Dimension ◽  
Item Functioning ◽  
Confirmatory Factor ◽  
Gender Differential

The study aimed to perform confirmatory factor analysis, internal consistency, gender differential item functioning, and discriminant validity of the Fear of COVID-5 Scale in emerging adult students of a university in Mexico. Confirmatory factor analysis, internal consistency (Cronbach's alpha and McDonald's omega), and gender differential item functioning were estimated (Kendall tau b correlation). The Fear of COVID-5 Scale showed a one-dimension structure (RMSEA = 0.07, CFI = 0.98, TLI = 0.96, and SRMR = 0.02), with high internal consistency (Cronbach's alpha of 0.78 and McDonald's omega of 0.81), non-gender differential item functioning (Kendall tau b between 0.07 and 0.10), and significant discriminant validity (Higher scores for fear of COVID-19 were observed in high clinical anxiety levels). In conclusion, the Fear of COVID-5 Scale presents a clear one-dimension structure similar to a previous study.

Reasons for attending support groups and organizational preferences: A replication study using the North American Scleroderma Support Group Survey

2019 ◽  
Vol 4 (3) ◽  
pp. 173-186 ◽  
Author(s):  
Mia Pépin ◽  
Linda Kwakkenbos ◽  
Marie-Eve Carrier ◽  
Sandra Peláez ◽  
Ghassan El-Baalbaki ◽  
...  
Keyword(s):  
Social Support ◽  
Factor Analysis ◽  
Systemic Sclerosis ◽  
North America ◽  
Confirmatory Factor Analysis ◽  
Support Groups ◽  
Support Group ◽  
Factor Model ◽  
The United States ◽  
Confirmatory Factor

Peer-facilitated support groups are an important source for receiving disease-related information and support for people with systemic sclerosis (or scleroderma). A recent survey explored reasons for attending systemic sclerosis support groups in Europe and Australia and used exploratory factor analysis to group reasons for attendance into three main themes: (1) interpersonal and social support, (2) disease treatment and symptom management strategies, and (3) other aspects of living with systemic sclerosis. The objective of the present study was to replicate this study in a sample of patients from North America using confirmatory factor analysis. A 30-item survey was used to assess reasons for attendance and organizational preferences among systemic sclerosis patients in Canada and the United States. In total, 171 members completed the survey. In the confirmatory factor analysis, the three-factor model showed good fit to the data (χ2(399) = 646.0, p < 0.001, Tucker–Lewis index = 0.97, comparative fit index = 0.97, root mean square error approximation = 0.06). On average, respondents rated 22 (73%) of 30 items as “important” or “very important” reasons for attending support groups. Among organizational preferences, respondents emphasized the importance of the ability to share feelings and concerns, as well as educational aspects. Findings of our study suggest that reasons for attending support groups are similar for patients from Europe, Australia, and North America and that support groups should facilitate social support as well as disease education. These results inform the development of training programs for current and future systemic sclerosis support group leaders across the globe.

scholarly journals Latent structure of cognition in schizophrenia: a confirmatory factor analysis of the MATRICS Consensus Cognitive Battery (MCCB)

2015 ◽  
Vol 45 (12) ◽  
pp. 2657-2666 ◽  
Author(s):  
A. McCleery ◽  
M. F. Green ◽  
G. S. Hellemann ◽  
L. E. Baade ◽  
J. M. Gold ◽  
...  
Keyword(s):  
Working Memory ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Model ◽  
Visual Learning ◽  
Verbal Learning ◽  
Speed Of Processing ◽  
Confirmatory Factor ◽  
Correlated Factors ◽  
Cognitive Dimensions

BackgroundThe number of separable cognitive dimensions in schizophrenia has been debated. Guided by the extant factor analytic literature, the NIMH Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) initiative selected seven cognitive domains relevant to treatment studies in schizophrenia: speed of processing, attention/vigilance, working memory, verbal learning, visual learning, reasoning and problem solving, and social cognition. These domains are assessed in the MATRICS Consensus Cognitive Battery (MCCB). The aim of this study was to conduct a confirmatory factor analysis (CFA) of the beta battery of the MCCB to compare the fit of the MATRICS consensus seven-domain model to other models in the current literature on cognition in schizophrenia.MethodUsing data from 281 schizophrenia outpatients, we compared the seven correlated factors model with alternative models. Specifically, we compared the 7-factor model to (a) a single-factor model, (b) a three correlated factors model including speed of processing, working memory, and general cognition, and (c) a hierarchical model in which seven first-order factors loaded onto a second-order general cognitive factor.ResultsMultiple fit indices indicated the seven correlated factors model was the best fit for the data and provided significant improvement in model fit beyond the comparison models.ConclusionsThese results support the assessment of these seven cognitive dimensions in clinical trials of interventions to improve cognition in schizophrenia. Because these cognitive factors are separable to some degree, it is plausible that specific interventions may have differential effects on the domains.

scholarly journals Validation of the Hedonic and Eudaimonic Motives for Activities-Revised Scale in Chinese Adults

2021 ◽  
Vol 18 (8) ◽  
pp. 3959
Author(s):  
Wenjie Li ◽  
Linting Zhang ◽  
Ning Jia ◽  
Feng Kong
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Measurement Invariance ◽  
Predictive Validity ◽  
Factor Model ◽  
Well Being ◽  
Smartphone Addiction ◽  
Chinese Adults ◽  
Confirmatory Factor ◽  
Chinese Undergraduates

The Hedonic and Eudaimonic Motives for Activities-Revised scale (HEMA-R) is one of the most extensively used instruments to assess how people pursue well-being. The main aims of the present research were to translate HEMA-R into Chinese and test its construct and predictive validity as well as measurement invariance across gender. In Study 1, we conducted confirmatory factor analysis with data containing 1090 Chinese undergraduates, and replicated the two-factor model which has been found in other studies. Furthermore, the measurement invariance across gender was supported throughout the multi-group confirmatory factor analysis. Study 2 replicated these results and further found the HEMA-R had satisfactory predictive validity in measures of well-being, social support and smartphone addiction. All the findings indicate that the HEMA-R is reliable and valid to measure hedonic and eudaimonic motives, and it could be applied generally across gender in Chinese adults.

scholarly journals Multiple Group Confirmatory Factor Analysis of the DASS-21 Depression and Anxiety Scales: How Do They Perform in a Cancer Sample?

2017 ◽  
Vol 121 (3) ◽  
pp. 548-565 ◽  
Author(s):  
Rina S. Fox ◽  
Teresa A. Lillis ◽  
James Gerhart ◽  
Michael Hoerger ◽  
Paul Duberstein
Keyword(s):  
Factor Analysis ◽  
Standard Deviation ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Cancer Patients ◽  
Internal Consistency Reliability ◽  
Total Sample ◽  
Depression And Anxiety ◽  
Multiple Group ◽  
Confirmatory Factor

The DASS-21 is a public domain instrument that is commonly used to evaluate depression and anxiety in psychiatric and community populations; however, the factor structure of the measure has not previously been examined in oncologic settings. Given that the psychometric properties of measures of distress may be compromised in the context of symptoms related to cancer and its treatment, the present study evaluated the psychometric properties of the DASS-21 Depression and Anxiety scales in cancer patients ( n = 376) as compared to noncancer control participants ( n = 207). Cancer patients ranged in age from 21 to 84 years (mean = 58.3, standard deviation = 10.4) and noncancer control participants ranged in age from 18 to 81 years (mean = 45.0, standard deviation = 11.7). Multiple group confirmatory factor analysis supported the structural invariance of the DASS-21 Depression and Anxiety scales across groups; the factor variance/covariance invariance model was the best fit to the data. Cronbach’s coefficient alpha values demonstrated acceptable internal consistency reliability across the total sample as well as within subgroups of cancer patients and noncancer control participants. Expected relationships of DASS-21 Depression and Anxiety scale scores to measures of suicidal ideation, quality of life, self-rated health, and depressed mood supported construct validity. These results support the psychometric properties of the DASS-21 Depression and Anxiety scales when measuring psychological distress in cancer patients.

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