Measuring Athlete Imagery Ability: The Sport Imagery Ability Questionnaire

This research aimed to develop and provide initial validation of the Sport Imagery Ability Questionnaire (SIAQ). The SIAQ assesses athletes’ ease of imaging different types of imagery content. Following an extensive pilot study, 375 athletes completed a 20-item SIAQ in Study 1. Exploratory factor analysis revealed a 4-factor model assessing skill, strategy, goal, and affect imagery ability. Confirmatory factor analysis (CFA) established this 4-factor structure in Study 2 (N = 363 athletes). In Study 3 (N = 438 athletes), additional items were added to create a fifth mastery imagery subscale that was confirmed through CFA. Study 4 (N = 220 athletes) compared the SIAQ to the Movement Imagery Questionnaire-3. Significant bivariate correlations (p < .05) confirmed the SIAQ’s concurrent validity but demonstrated differences in imagery ability of different content. Overall, the SIAQ demonstrates good factorial validity, internal and temporal reliability, invariance across gender, and an ability to distinguish among athletes of different competitive levels. Findings highlight the importance of separately assessing imagery ability of different content.

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Motivation for the teaching profession: Assessing psychometric properties and factorial validity of the orientation for teaching survey on in-service teachers

Psihologija ◽

10.2298/psi170327012s ◽

2018 ◽

Vol 51 (3) ◽

pp. 309-331 ◽

Cited By ~ 1

Author(s):

Natasa Simic ◽

Danka Puric ◽

Milan Stancic

Keyword(s):

Factor Analysis ◽

Psychometric Properties ◽

Teacher Motivation ◽

Factor Model ◽

Teaching Experience ◽

Teaching Profession ◽

Factorial Validity ◽

Primary School Teachers ◽

Female Teachers ◽

Confirmatory Factor

Previous studies that used the Orientation for Teaching Survey (OTS), assessing motivation for the teaching profession, yielded inconsistent results regarding the OTS?s factorial structure. Since these studies focused on pre-service teachers with limited teaching experience, our main goal was to assess the psychometric properties and factorial validity of the OTS on in-service teachers. An additional goal was to compare the motivation of male and female teachers, and teachers working in primary and secondary schools. The OTS was administered to 384 teachers in Serbia. After confirmatory factor analysis demonstrated that the six-factor model proposed by the authors of the OTS did not fit the data well, an exploratory factor analysis was conducted, and a two-factor solution was accepted (Extrinsic-Intrinsic model). Women and primary school teachers scored higher on Intrinsic motivation. Results point to the need for further exploration of differences in the motivation of pre- and in-service teachers and changes in teacher motivation over time.

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Initial validation of the Italian version of the Volition in Exercise Questionnaire (VEQ-I)

PLoS ONE ◽

10.1371/journal.pone.0249667 ◽

2021 ◽

Vol 16 (4) ◽

pp. e0249667

Author(s):

Maria Chiara Gallotta ◽

Valerio Bonavolontà ◽

Laura Guidetti ◽

Carlo Baldari ◽

Lorenzo Innocenti ◽

...

Keyword(s):

Factor Analysis ◽

Physical Education ◽

Confirmatory Factor Analysis ◽

Cultural Adaptation ◽

Concurrent Validity ◽

Italian Version ◽

Initial Validation ◽

Self Confidence ◽

Confirmatory Factor ◽

Translation And Cultural Adaptation

The purpose of this study was to validate the Volition in Exercise Questionnaire in Italian language (VEQ-I). The translation and cultural adaptation of the VEQ-I was conducted using the forward-backward translation method. VEQ-I eighteen items correspond to the six-factors structure of the original version. The construct validity was verified by the confirmatory factor analysis (CFA) (CFI = 0.960; TLI = 0.943; RMSEA = 0.039; and SRMR = 0.040). The eighteen items were well distributed in six subscales and the six-factors structure of the questionnaire was supported. Internal Consistency value of the questionnaire was investigated for each subscale of the VEQ-I. Cronbach’s alpha and Omega values of the Reasons, Postponing Training, Unrelated Thoughts, Self-Confidence, Approval from Others and Coping with Failure subscales were 0.76 (α) and 0.76 (ω), 0.76 (α) and 0.76 (ω), 0.87 (α) and 0.88 (ω), 0.85 (α) and 0.85 (ω), 0.70 (α) and 0.72 (ω) and 0.74 (α) and 0.74 (ω), respectively. They were acceptable in all the six subscales. The concurrent validity was assessed using the correlation among the subscales of VEQ-I measures and those contained in two questionnaires: Psychobiosocial States in Physical Education (PBS-SPE) and Exercise Motivations Inventory (EMI-2).

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The Pandemic Coping Scale – Factorial Validity and Reliability of a Brief Measure of Coping During a Pandemic

10.21203/rs.3.rs-400361/v1 ◽

2021 ◽

Author(s):

Annett Lotzin ◽

Ronja Ketelsen ◽

Sven Buth ◽

Linda Krause ◽

Ann-Kathrin Ozga ◽

...

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Goodness Of Fit ◽

Factor Model ◽

General Factor ◽

Factorial Validity ◽

Validity And Reliability ◽

Factor Loadings ◽

Confirmatory Factor ◽

Coping Scale

Abstract Background: This study aimed to assess the factorial validity and reliability of the Pandemic Coping Scale, a new brief measure of coping behavior in response to the stressors of a pandemic. Methods: The scale was administered to N = 2,316 German participants during the COVID-19 pandemic. An exploratory and a confirmatory factor analysis were applied among two random splits of the sample. The global goodness of fit (χ², RMSEA, SRMR, CFI, TLI), the local goodness of fit (factor loadings, communalities, factor reliability, discriminant validity), and test quality criteria (internal consistency, item discrimination, and difficulty) were evaluated for two models (Model 1: four-factor model; Model 2: four-factor model combined with a second-order general factor). Results: The exploratory factor analysis suggested a four-factor solution with factor loadings accounting for 44.6% of the total variance (Factor 1 ‘Healthy Lifestyle’, Factor 2 ‘Joyful Activities’, Factor 3 ‘Daily Structure’, Factor 4 ‘Prevention Adherence’). The confirmatory factor analysis showed a sufficient global fit for both specified models (Model 1: χ² (59, N =1172) = 366.97, p < .001, RMSEA = .067, SRMR = .043, CFI = .926, TLI = .902; Model 2: χ² (61, N = 1172) = 373.33, p < .001, RMSEA = .066, SRMR = .043, CFI = .925, TLI = .904). Model 1 and Model 2 did not significantly differ in their fit to the data (∆χ² (2, N = 1172) = 6.36, p = .042). Local goodness of fit indices were similar for both models and mostly showed moderate to large factor loadings, and good factor reliabilities except for ‘Prevention Adherence’. Conclusion: The Pandemic Coping Scale showed sufficient factorial validity for the four measured dimensions of coping and reliability for the scales except for ‘Prevention Adherence’ to assess coping during the current COVID-19 pandemic. The ‘Prevention Adherence’ subscale might be improved by adding items with higher item difficulties.

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The Pandemic Stressor Scale – Factorial Validity and Reliability of a Measure of Stressors During a Pandemic

10.21203/rs.3.rs-555631/v1 ◽

2021 ◽

Author(s):

Annett Lotzin ◽

Ronja Ketelsen ◽

Irina Zrnic ◽

Brigitte Lueger-Schuster ◽

Maria Böttche ◽

...

Keyword(s):

Factor Analysis ◽

Goodness Of Fit ◽

Factor Model ◽

General Factor ◽

Factorial Validity ◽

Fit Indices ◽

Validity And Reliability ◽

Factor Loadings ◽

Confirmatory Factor ◽

Stressor Scale

Abstract Background: This study aimed to assess the factorial validity and reliability of the Pandemic Stressor Scale (PaSS), a new measure to assess the severity of distress for different stressors relevant during a pandemic or epidemic. Methods: The PaSS was administered in N = 2760 German participants. Exploratory factor analysis was used to extract factors. The factor structure obtained in the German sample was examined in N = 1021 Austrian participants using confirmatory factor analysis. χ², RMSEA, SRMR, CFI, TLI were assessed as global goodness of fit indices for two models (Model 1: nine-factor model; Model 2: nine-factor model combined with a second-order general factor). We additionally assessed factor loadings, communalities, factor reliability, discriminant validity as local fit indices. Internal consistency, item discrimination, and item difficulty were assessed as additional test quality criteria.Results: The results of the exploratory factor analysis suggested a nine-factor solution with factor loadings accounting for 50.4% of the total variance (Factor 1 ‘Problems with Childcare’, Factor 2 ‘Work-related Problems’, Factor 3 ‘Restricted Face-to-Face Contact’, Factor 4 ‘Burden of Infection ‘, Factor 5 ‘Crisis Management and Communication’, Factor 6 ‘Difficult Housing Condition’, Factor 7 ‘Fear of Infection’, Factor 8 ‘Restricted Access to Resources’, Factor 9 ‘Restricted Activity’). The confirmatory factor analysis showed a sufficient global fit for both tested models (Model 1: χ² (369, N =1021) = 1443.28, p < .001, RMSEA = .053, SRMR = .055, CFI = .919, TLI = .904; Model 2: χ² (396, N = 1021) = 1948.51, p < .001, RMSEA = .062, SRMR = .074, CFI = .883, TLI = .871). The results of the chi-square difference test indicated a significantly better model-fit of Model 1 compared to Model 2 (∆χ² (27, N = 1021) = 505.23, p < .001). Local goodness of fit indices were comparable for both tested models. We found good factor reliabilities for all factors and moderate to large factor loadings of the items as indicators. In Model 2, four first-order factors showed small factor loadings on the second-order general factor. Conclusion: The Pandemic Stressor Scale showed sufficient factorial validity for the nine measured domains of stressors during the current COVID-19 pandemic.

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Confirmatory Factor Analysis of the Long and Short Forms of the Worry Domains Questionnaire

European Journal of Psychological Assessment ◽

10.1027/1015-5759.25.4.239 ◽

2009 ◽

Vol 25 (4) ◽

pp. 239-243

Author(s):

Roberto Nuevo ◽

Andrés Losada ◽

María Márquez-González ◽

Cecilia Peñacoba

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Factor Structure ◽

Goodness Of Fit ◽

Factorial Validity ◽

Fit Indices ◽

Short Forms ◽

Confirmatory Factor ◽

Positive Correlations ◽

Future Work

The Worry Domains Questionnaire was proposed as a measure of both pathological and nonpathological worry, and assesses the frequency of worrying about five different domains: relationships, lack of confidence, aimless future, work, and financial. The present study analyzed the factor structure of the long and short forms of the WDQ (WDQ and WDQ-SF, respectively) through confirmatory factor analysis in a sample of 262 students (M age = 21.8; SD = 2.6; 86.3% females). While the goodness-of-fit indices did not provide support for the WDQ, good fit indices were found for the WDQ-SF. Furthermore, no source of misspecification was identified, thus, supporting the factorial validity of the WDQ-SF scale. Significant positive correlations between the WDQ-SF and its subscales with worry (PSWQ), anxiety (STAI-T), and depression (BDI) were found. The internal consistency was good for the total scale and for the subscales. This work provides support for the use of the WDQ-SF, and potential uses for research and clinical purposes are discussed.

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

European Journal of Psychological Assessment ◽

10.1027/1015-5759/a000505 ◽

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.

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The Factor Structure and Psychometric Properties of the Resiliency Scale in Chinese Undergraduates

European Journal of Psychological Assessment ◽

10.1027/1015-5759/a000023 ◽

2010 ◽

Vol 26 (3) ◽

pp. 162-171 ◽

Cited By ~ 11

Author(s):

Lixia Cui ◽

Xiujie Teng ◽

Xupei Li ◽

Tian P.S. Oei

Keyword(s):

Factor Analysis ◽

Psychometric Properties ◽

Factor Structure ◽

Undergraduate Students ◽

Concurrent Validity ◽

Higher Order ◽

Criterion Variable ◽

Confirmatory Factor ◽

High Level ◽

Chinese Undergraduates

The current study examined the factor structure and the psychometric properties of Sandra Prince-Embury’s Resiliency Scale for Adolescents (RESA) in Chinese undergraduates. A total of 726 undergraduate students were randomly divided into two subsamples: Sample A was used for the exploratory factor analysis (EFA) and Sample B was used for the confirmatory factor analysis (CFA). The EFA revealed that 56 items and a model of 10 factors with 3 higher order factors (as described by Sandra) were to be retained; CFA with Sample B confirmed this result. The overall scale and the subscales of the Chinese-RESA demonstrated a high level of internal consistency. Furthermore, concurrent validity was demonstrated by the correlation of the scale with other instruments such as the PANAS and the CSS, and the predictive validity was confirmed via three multiple regression analyses using the PANAS as a criterion variable: one for the 10 subscales of the C-RESA, one for the 3 higher order scales, and one for the total C-RESA. We concluded that the C-RESA may be used for research into Chinese undergraduates’ adaptive behaviors.

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

Behavioural and Cognitive Psychotherapy ◽

10.1017/s1352465820000983 ◽

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.

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

Journal of Scleroderma and Related Disorders ◽

10.1177/2397198319849806 ◽

2019 ◽

Vol 4 (3) ◽

pp. 173-186 ◽

Cited By ~ 2

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.

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

Psychological Medicine ◽

10.1017/s0033291715000641 ◽

2015 ◽

Vol 45 (12) ◽

pp. 2657-2666 ◽

Cited By ~ 18

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.

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