Sources of Sport Confidence of Master Athletes

2004 ◽  
Vol 26 (3) ◽  
pp. 369-384 ◽  
Author(s):  
Rodney C. Wilson ◽  
Philip J. Sullivan ◽  
Nicholas D. Myers ◽  
Deborah L. Feltz
Keyword(s):  
Factor Analysis ◽  
Regression Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Track And Field ◽  
Factor Analyses ◽  
Master Athletes ◽  
Mental Preparation ◽  
Confirmatory Factor ◽  
Exploratory Factor Analyses

This study examined sources of sport confidence and their relationship to trait sport confidence with master athletes. The study employed 216 athletes from 50 to 96 years of age in track and field, tennis, and swimming, using the Sources of Sport Confidence Questionnaire (SSCQ; Vealey, Hayashi, Garner-Holman, & Giacobbi, 1998). Confirmatory factor analysis failed to replicate the proposed 9-factor structure of the SSCQ. Exploratory factor analyses revealed an 8-factor structure with similar factors to the SSCQ, but with fewer items and the elimination of the situational favorableness factor. Physical/mental preparation and mastery were the highest ranked sources among the athletes. A simultaneous multiple regression analysis indicated that physical/mental preparation and demonstration of ability were significant predictors of trait sport confidence for master athletes. Our findings suggest that the SSCQ needs more psychometric work if it is to be used with this type of population.

Assessing professionals' adoption readiness for eMental Health: Development and Validation of the eMental Health Adoption Readiness (eMHAR) Scale (Preprint)

2021 ◽  
Author(s):  
Milou Feijt ◽  
Yvonne de Kort ◽  
Joyce Westerink ◽  
Joyce Bierbooms ◽  
Inge Bongers ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Internal Consistency ◽  
Healthcare Professionals ◽  
Mental Healthcare ◽  
Factor Analyses ◽  
Confirmatory Factor ◽  
Exploratory Factor Analyses ◽  
Three Factor

BACKGROUND Over the last decades, significant advances have been made in the development of digital tools and applications for mental healthcare. Yet, despite growing evidence for their effectiveness, their acceptance and use in clinical practice remain low. To gain further insights in the process of eMental Health adoption and to facilitate future research on this topic, a validated and easy-to-use instrument to assess professionals' readiness to adopt eMental Health is necessary. OBJECTIVE The aim of this study was to develop and validate an instrument for assessing mental healthcare professionals' adoption readiness for eMental Health. METHODS Item generation was guided by literature and input from mental healthcare professionals and experts in survey development. Exploratory factor analyses were conducted on an initial set of 29 items completed by a sample of mental healthcare professionals (N = 432), after which the scale was reduced to 15 items in an iterative process. The factor structure thus obtained was subsequently tested with a confirmatory factor analysis with a second sample of mental healthcare professionals (N = 363). Internal consistency, convergent validity and predictive validity of the eMHAR Scale were assessed. RESULTS Exploratory factor analyses resulted in a three-factor solution with 15 items. The factors were analyzed and labeled as ‘perceived benefits and applicability of EMH’, ‘EMH proactive innovation’, and ‘EMH self-efficacy’. These factors were confirmed through a confirmatory factor analysis. The total scale and subscales showed good internal consistency (Cronbach’s alpha = 0.73-0.88) and acceptable convergent and predictive relations to related constructs. CONCLUSIONS The constructed eMHAR Scale showed a conceptually interpretable three-factor structure with satisfactory characteristics and relationships with relevant concepts. Its ease of use allows for a quick acquisition of data that can contribute to understanding and facilitating the process of adoption of eMental Health by clinical professionals.

Dimensionality of burden in Alzheimer caregivers: confirmatory factor analysis and correlates of the Zarit Burden interview

2014 ◽  
Vol 26 (9) ◽  
pp. 1455-1463 ◽  
Author(s):  
Sheung-Tak Cheng ◽  
Timothy Kwok ◽  
Linda C. W. Lam
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Caregiver Burden ◽  
Care Recipient ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Zarit Burden Interview ◽  
Confirmatory Factor

ABSTRACTBackground:To investigate dimensions of caregiver burden through factor analysis of the Zarit Burden Interview (ZBI), and to examine predictors of different dimensions of burden.Methods:Confirmatory factor analyses were performed on 395 Hong Kong Chinese Alzheimer caregivers to examine whether several proposed factor structures fit the data well. Subsequently, participants were split into two roughly equal subsamples, for the purpose of identifying the most optimal factor structure through exploratory factor analysis in Sample A (n = 183) and an independent verification through confirmatory factor analysis in Sample B (n = 212). ZBI subscales representing the established factors were correlated with caregiver and care-recipient variables known to be associated with burden.Results:Confirmatory factor analyses showed that factor models reported elsewhere did not fit the data well. Subsequently, exploratory factor analysis in Sample A suggested a 4-factor structure. After dropping three items due to poor factor loadings, the 4-factor structure was found to fit the data moderately well in Sample B. The four factors tapped personal strain, captivity, self-criticism, and loss of control. However, self-criticism was basically unrelated to the other three factors and showed a rather different pattern of correlations with caregiver and care-recipient variables. Self-criticism was more common among child caregivers and those who did not live with the care-recipient and was less involved in day-to-day care, yet feeling obligated and close to the care-recipient.Conclusions:The dimensions of caregiver burden may be culturally specific. More research is needed to examine cultural considerations in measuring caregiver burden.

Assessing the Measurement Invariance of the Gratitude Questionnaire–5 in Chinese and American Adolescents

2021 ◽  
Vol 24 ◽  
Author(s):  
Yu Ling ◽  
Qin Yang ◽  
Yifang Zeng ◽  
E. Scott Huebner
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Measurement Invariance ◽  
Factor Structure ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Configural Invariance ◽  
Confirmatory Factor ◽  
Subsequent Comparison ◽  
Latent Means

Abstract Given the possibility of cultural differences in the meaning and levels of gratitude among children, we evaluated the measurement invariance of the Gratitude Questionnaire–5 (GQ–5) and differences in latent means across adolescents from two distinct cultures, China and America. Data were obtained from 1,991 Chinese and 1,685 American adolescents. Confirmatory factor analysis and multigroup confirmatory factor analysis were performed to examine the factor structure and the measurement equivalence across Chinese and American adolescents. The Cronbach’s alpha and Item-total Correlations of the GQ–5 were also evaluated. Results of confirmatory factor analyses provided support for the expected one-factor structure. Also, a series of multi-group confirmatory factor analyses supported full configural invariance, full metric invariance, and partial scalar invariance between the two groups. Furthermore, the findings suggested that the GQ–5 is suitable for conducting mean level comparisons. The subsequent comparison of latent means revealed that the Chinese adolescents reported significantly lower gratitude than American adolescents.

scholarly journals Exploring the Factors Affecting Organic Food Purchase as Immunity Booster during the Pandemic

2021 ◽  
pp. 154-159
Author(s):  
Vajreshwari Domle ◽  
Shiney Chib ◽  
Ranjit Ambad ◽  
Roshan Kumar Jha
Keyword(s):  
Factor Analysis ◽  
Regression Analysis ◽  
Confirmatory Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Organic Food ◽  
Factors Affecting ◽  
Food Purchase ◽  
Confirmatory Factor ◽  
The World

Organic food products are gaining popularity and are widely accepted by the consumers all over the world.  As they are grown and processed without the use of chemicals, consumers feel that it is safe for consumption and does not have any health hazards. The ongoing pandemic situation, COVID-19 has also given a momentum to the acceptance level of these products, as producers are marketing their products with a tag, ‘immunity booster’.  This study was an effort to identify and validate the dimensions influencing organic food purchase by the consumers.  Questionnaire having 45 questions was developed and administered to 750 respondents. Exploratory factor analysis was applied to explore the factors determining organic food purchase.  Exploratory factor analysis yielded five-factor structure.  Confirmatory factor analysis was used to verify and confirm, the five-factor structure.  Multiple  Regression Analysis  was applied to identify the most prominent factor, which influenced the customer to make the purchase.

scholarly journals Place attachment scale: Turkish adaptation studyMekânsal bağlılık ölçeği: Türkçe’ye uyarlama çalışması

2017 ◽  
Vol 14 (3) ◽  
pp. 2810
Author(s):  
Cihat Yaşaroğlu
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
University Students ◽  
Factor Structure ◽  
Internal Consistency ◽  
Place Attachment ◽  
Study Group ◽  
Factor Analyses ◽  
Confirmatory Factor ◽  
The University

This study was carried out in order to adapt the “University Place Attachment Scale” to Turkish. For this purpose, a study group of 246 people consisting of Bingöl University students was carried out in 2016/2017 education year. Factor validity, exploratory factor analysis, confirmatory factor analysis and internal consistency coefficients for reliability studies were examined. In the analysis of the explanatory factor analyses, it was determined that the scale had a one-factor structure and in the confirmatory factor analysis, this structure was tested. Confirmatory factor analysis (CFA) was conducted to confirm the model for AFA. In the analyzes x2 / sd (221.40 / 116 = 1.91) ratio showed excellent agreement. Compliance indices (RMSA .80, GFI .90, AGFI .95, SRMR .48, NNFI .94 and CFI .95) indicate that the scale is valid.The compliance indices obtained as a result of confirmatory factor analysis confirm that the scale is a one-factor structure. Finally, internal consistency coefficient was found as .91.Extended English abstract is in the end of PDF (TURKISH) file.ÖzetBu çalışma “Üniversite Mekansal Bağlılık Ölçeği”nin Türkçeye uyarlanması amacıyla yapılmıştır. Bu amaçla 2016/2017 eğitim yılında Bingöl Üniversitesi öğrencilerinden oluşan 246 kişilik bir çalışma grubu üzerinde uygulamalar yapılmıştır. Yazardan gerekli izinler alındıktan sonra ölçeğin türkçeye çevirisi yapılmıştır. Gerekli işlemlerden sonra denemlik form hazırlanmış ve uygulanmıştır. Ölçeğin geçerlik, güvenirlik çalışmaları için AFA, DFA ve iç tutarlılık katsayılarına bakılmıştır. Yapılan açımlayıcı faktör analizinde ölçeğin tek faktörlü bir yapıda olduğu belirlenmiştir. Ölçek 17 maddeden oluşmakta, toplam varyansın % 43.637’sini açıkladığı ve özdeğerinin 7.418 olduğu görülmüştür. Doğrulayıcı faktör analizinde ise ortaya çıkan bu yapı test edilmiştir. AFA’ya ilişkin modelin doğrulanması için doğrulayıcı faktör analizi (DFA) yapılmıştır.  Yapılan analizlerde x2/sd (221.40/116=1.918) ile uyum indekslerinin (RMSA .80, GFI .90, AGFI .95, SRMR .48, NNFI .94 ve CFI .95) ölçeğin geçerli bir yapıda olduğunu göstermektedir. Doğrulayıcı faktör analizi sonucunda elde edilen uyum indeksleri, ölçeğin tek faktörlü bir yapıda olduğunu doğrulamıştır. Son olarak iç tutarlılık katsayısı .917 olarak bulunmuştur.

Confirmatory factor analysis of 2 versions of the Brief Pain Inventory in an ambulatory population indicates that sleep interference should be interpreted separately

2016 ◽  
Vol 12 (1) ◽  
pp. 110-116 ◽  
Author(s):  
David M. Walton ◽  
Joseph Putos ◽  
Tyler Beattie ◽  
Joy C. MacDermid
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Brief Pain Inventory ◽  
Model Fit ◽  
Factor Analyses ◽  
Interference Factor ◽  
Significant Difference ◽  
Confirmatory Factor ◽  
Sleep Interference

AbstractBackgroundThe Brief Pain Inventory (BPI-SF) is a widely-used generic pain interference scale, however its factor structure remains unclear. An expanded 10-item version of the Interference subscale has been proposed, but the additional value of the 3 extra items has not been rigorously evaluated. The purpose of this study was to evaluate and contrast the factorial and concurrent validity of the original 7-item and 10-item versions of the BPI-SF in a large heterogeneous sample of patients with chronic pain.MethodsExploratory and confirmatory factor analyses were conducted on independent subsets of the sample, and concurrent correlations with scales capturing similar constructs were evaluated.ResultsTwo independent exploratory factor analyses (n = 500 each) supported a single interference factor in both the 7- and 10-item versions, while confirmatory factor analysis (N =1000) suggested that a 2-factor structure (Physical and Affective) provided better fit. A 3-factor model, where sleep interference was the third factor, improved in model fit further. There was no significant difference in model fit between the 7- and 10-item versions. Concurrent associations with measures of general health, pain intensity and pain-related cognitions were all in the anticipated direction and magnitude and were not different by version of the BPI-SF.Conclusions and implicationsThe addition of 3 extra items to the original 7-item Interference subscale of the BPI-SF did not improve psychometric properties. The combined results lead us to endorse a 3-factor structure (Physical, Affective, and Sleep Interference) as the more statistically and conceptually sound option.

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

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.

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.

Factor Structure of the K-ABC for Cantonese, English, and Punjabi Speaking Canadians

1988 ◽  
Vol 4 (1) ◽  
pp. 49-59
Author(s):  
Joanne M. Gardner
Keyword(s):  
Factor Analysis ◽  
Theoretical Model ◽  
Confirmatory Factor Analysis ◽  
Construct Validity ◽  
Internal Structure ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Assessment Battery ◽  
Confirmatory Factor

The purpose of this study was to examine the construct validity (internal structure) of the Kaufman Assessment Battery for Children (K-ABC) for use with Cantonese, English, and Punjabi speaking Canadians. A confirmatory factor analysis revealed that the sequential/simultaneous theoretical model was supported by the English and Punjabi data: however, the Cantonese data did not exhibit a good fit with this model. Similarly, the results of the exploratory factor analysis suggested that sequential and simultaneous factors could apply when describing the factor structure of the English and Punjabi data, but not for the Cantonese data. Implications of these findings are discussed.

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