scholarly journals Psychometric evaluation of the Santa Clara Brief Compassion Scale in the Czech environment (SCBCS)

2020 ◽  
Author(s):  
Lukas Novák ◽  
Klara Malinakova ◽  
Petr Mikoska ◽  
Jana Fürstlova ◽  
Rachel Cann ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Czech Republic ◽  
Confirmatory Factor Analysis ◽  
Factor Model ◽  
Psychometric Evaluation ◽  
Demographic Information ◽  
Reliable Measure ◽  
Confirmatory Factor ◽  
Good Internal Consistency ◽  
Compassion Scale

There is growing research on compassion in many fields of social science. However, there are no standardized instruments for measuring compassion in the Czech environment. Therefore, the aim of this study was to psychometrically evaluate the Santa Clara Brief Compassion Scale (SCBCS) in Czech Republic. Sample of 572 Czech respondents (mean age 28.9 years; 36.7 % men) participated in the study. Compassion, spirituality and religiosity, together with basic socio-demographic information, were measured. The non-parametric comparison of different sociodemographic groups showed a higher level of compassion among women, among respondents living in marriage, and among religious respondents. The Confirmatory Factor Analysis showed a good fit of a one-factor model with the data, with χ² (5)=58.9; p < .001; TLI=0.98; CFI=0.99; SRMR=0.058. The scale has a good internal consistency with Cronbach’s α=0.84 and McDonald’s ω=0.89. The Czech version of the SCBCS is a reliable measure for assessing compassion.

Confirmatory Factor Analysis of the Frost et al Multidimensional Perfectionism Scale-24 (F-MPS 24)

2017 ◽  
Vol 41 (S1) ◽  
pp. s793-s794
Author(s):  
M.J. Soares ◽  
J. Azevedo ◽  
A.T. Pereira ◽  
A.I. Araújo ◽  
J. Castro ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
University Students ◽  
Internal Consistency ◽  
Factor Model ◽  
Short Form ◽  
Correlated Errors ◽  
Confirmatory Factor ◽  
Good Internal Consistency ◽  
Six Dimensions

IntroductionThe F-Multidimensional Perfectionism Scale is a widely used instrument to assess perfectionism trait. The original scale comprises 35-items that measure the six dimensions of Frost et al (1990) conceptualization of perfectionism: personal standards (PS), concern over mistakes (CM), doubts about actions (DA), parental criticism (PC), Parental expectations (PE) and Organization (O).ObjectiveTo examine the factor structure of the 24-items short form of the F-MPS using confirmatory factor analysis (CFA), in a sample of Portuguese university students.MethodsThe sample comprises 344 university students (68.4% females), with an average age of 20.69 years (SD = 1.59; range = 17–24). They completed a version of F-MPS with 24 items that results from the selection of the four items with highest loadings in the respective six dimensions of the original Portuguese version (Amaral et al., 2013).ResultsAfter correlated errors, we obtained a good fit for the FMPS with six factors (X2/df = 2.125; CFI = .936; GFI = .891, RMSEA = .057; P[rmsea≤ .05] = .043). The 24-item F-MPS short form revealed good internal consistency (α = .825). The six dimensions showed acceptable or good internal consistency, as revealed by Cronbach's alpha (α: PS = .80; CM = .76; DA = .82; PC = .84; PE = .89, O = .85).ConclusionsThe F-MPS 24 items short form CFA confirmed the six factor model as a reliable and valid measure to assess multidimensional perfectionism in Portuguese university students.Disclosure of interestThe authors have not supplied their declaration of competing interest.

scholarly journals The School Counselor STEM Advocacy Survey (SC-STEM-AS)

2021 ◽  
Vol 25 (1) ◽  
pp. 2156759X2110231
Author(s):  
Robert R. Martinez ◽  
Sejal Parikh Foxx ◽  
Jacob Olsen ◽  
Stephen D. Kennedy
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
School Counselors ◽  
Factor Structure ◽  
Convergent Validity ◽  
School Counselor ◽  
Factor Model ◽  
National Sample ◽  
Confirmatory Factor ◽  
Good Internal Consistency

We examined data from a national sample of 917 school counselors to determine the factor structure of the School Counselor STEM Advocacy Survey. An exploratory and confirmatory factor analysis supported use of the two-factor model. Survey scores demonstrated good internal consistency and convergent validity. We discuss differences between key demographics and school counselors.

scholarly journals Measuring COVID-19 Related Health Literacy in Healthcare Professionals—Psychometric Evaluation of the HL-COV-HP Instrument

2021 ◽  
Vol 18 (22) ◽  
pp. 11959
Author(s):  
Kati Hiltrop ◽  
Nina Hiebel ◽  
Franziska Geiser ◽  
Milena Kriegsmann-Rabe ◽  
Nikoloz Gambashidze ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Health Literacy ◽  
Confirmatory Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Healthcare Professionals ◽  
Factor Model ◽  
Psychometric Evaluation ◽  
Confirmatory Factor ◽  
Instrument Measuring ◽  
Using Data

Background: Thus far, there is no instrument available measuring COVID-19 related health literacy of healthcare professionals. Therefore, the aim of this study was to develop an instrument assessing COVID-19 related health literacy in healthcare professionals (HL-COV-HP) and evaluate its psychometric properties. Methods: An exploratory factor analysis, a confirmatory factor analysis, and descriptive analyses were conducted using data from n = 965 healthcare professionals. Health literacy related to COVID-19 was measured with 12 items, which were adapted from the validated HLS-EU-Q16 instrument measuring general health literacy. Results: Exploratory factor analysis demonstrated that 12 items loaded on one component. After removing one item due to its high standardized residual covariance, the confirmatory factor analysis of a one-factor model with 11 items showed satisfactory model fit (χ2 = 199.340, df = 41, χ2/df = 4.862, p < 0.001, RMSEA = 0.063, CFI = 0.963 and TLI = 0.951). The HL-COV-HP instrument showed good internal consistency (Cronbach’s alpha 0.87) and acceptable construct reliability. Conclusions: The HL-COV-HP is a reliable, valid, and feasible instrument to assess the COVID-19 related health literacy in healthcare professionals. It can be used in hospitals or other healt hcare settings to assess the motivation and ability of healthcare professionals to find, understand, evaluate, and use COVID-19 information.

scholarly journals Confirmatory factor analysis of the portuguese Depression Anxiety Stress Scales-21

2012 ◽  
Vol 20 (3) ◽  
pp. 590-596 ◽  
Author(s):  
João Luís Alves Apóstolo ◽  
Barry Allen Tanner ◽  
Cynthia Lee Arfken
Keyword(s):  
Primary Care ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Negative Affect ◽  
Factor Structure ◽  
Factor Model ◽  
Positive And Negative Affect ◽  
Validity And Reliability ◽  
Confirmatory Factor ◽  
Good Internal Consistency

To determine which of three published models best characterizes the factor structure of the Portuguese version of the Depression Anxiety Stress Scales-21 and to assess its validity and reliability. Confirmatory factor analysis of Depression Anxiety and Stress Scale-21 for 1,297 adult, primary care outpatients (66.7% female, Mage = 48.57 years) comparing 3 models. The relationship between the Depression Anxiety Stress Scales-21 and the Positive and Negative Affect Schedule was analyzed. The correlated 3-factor model fit the data best. The scale demonstrated good internal consistency, with alpha scores of the subscales ranging from 0.836 to 0.897. Correlation with the Positive and Negative Affect Schedule was positive and moderate with the negative affect scale; it was negative and limited with the positive affect. These findings support the correlated 3-factor structure. The test demonstrated adequate reliability and construct validity, which supports its use for screening in primary care settings with Portuguese speakers.

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.

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.

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