Titulo:
Psychometric proprieties of the portuguese version of the frost multidimensional perfectionism scale
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2011-2084
2011-7922
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2016-01-01
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17
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International Journal of Psychological Research - 2017
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Psychometric proprieties of the portuguese version of the frost multidimensional perfectionism scale Artículo de revista Psychometric proprieties of the portuguese version of the frost multidimensional perfectionism scale http://purl.org/coar/access_right/c_abf2 Fornell, C., & Larcker, D. (1981). Evaluation structural equations models with unobservable variable and measurement error. Journal of Marketing Research, 18, 39-50. doi:10.2307/3151312 Hofmann, R. (1995). Establishing factor validity using variable reduction in confirmatory factor analysis. Educational and Psychological Measurement, 55, 572-582. Hall, H. K., Kerr, A. W., & Matthews, J. (1998). Precompetitive anxiety in sport: The contribution of achievement goals and perfectionism. Journal of Sport and Exercise Psychology, 20, 194-217. Hair, J., Anderson, R., Tatham, R., & Black, W. (2009). Multivariate data analysis. Upper Saddle River, NJ: Prentice Hall. Frost, R. O., Marten, P., Lahart, C., & Rosenblate, R. (1990). The dimensions of perfectionism. Cognitive Therapy and Research, 14, 449–468. Frost, R. O., Heimberg, R. G., Holt, C. S., Mattia, J. I., & Neubauer, A. L. (1993). A comparison of two measures of perfectionism. Personality and Individual Differences, 14, 119–126. Frost, R. O., & Henderson, K. J. (1991). Perfectionism and reactions to athletic competition. Journal of Sport & Exercise Psychology, 13, 323-335. Cruz, J. F., & Gomes, A. R. (2007). Escala de Ansiedade no Desporto (EAD-2) – Versão para investigação [The Sport Anxiety Scale-2]. Braga, Portugal: Universidade do Minho. Davey, A. (2010). Statistical power analysis with missing data: A structural equation modeling approach. New York, NY: Taylor and Francis Group. Kaye, M. P., Conroy, D. E., & Fifer, A. M. (2008). Individual differences in incompetence avoidance. Journal of Sport & Exercise Psychology, 30, 110-132. Correia, M. E., Rosado, A., & Serpa, S., (2015). Adaptation of the Performance Failure Appraisal Inventory (PFAIp) in a Portuguese Sport Setting. Manuscript submitted for publication. Conroy, D. E., Willow, J. P., & Metzler, J. N. (2002). Multidimensional fear of failure measurement: The Performance Failure Appraisal Inventory. Journal of Applied Sport Psychology, 14, 76-90. doi:10.1080/10413200252907752 Conroy, D. E., Kaye, M. P., & Fifer, A. M. (2007). Cognitive links between fear of failure and perfectionism. Journal of Rational-Emotive and Cognitive Behavior Therapy, 25, 237-253. doi:10.1007/s10942-007-0052-7 Coen, S. P., & Ogles, B. M. (1993). Psychological characteristics of the obligatory runner: a critical examination of the anorexia analogue hypothesis. Journal of Sport & Exercise Psychology, 15, 338–354. Cheung, G., & Rensvold, R. (2002) Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 9, 233-255. doi:10.1207/S15328007SEM0902_5 Campbell, D., & Fiske, D. (1959). Convergent and discriminant validation by the multitrait multimethod matrix. Psychological Bulletin, 56, 81-105. doi:10.1037/h0046016 Byrne, B. M. (2010). Structural equation modeling with Amos: Basic concepts, applications, and programming. New York, NY: Taylor and Francis Group. Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modelling: A Multidisciplinary Journal, 6, 1-55. Kline, R. B. (2004). Beyond significance testing: Reforming data analysis methods in behavioral research. Washington, DC: American Psychological Association. info:eu-repo/semantics/openAccess Text http://purl.org/coar/version/c_970fb48d4fbd8a85 info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:eu-repo/semantics/article West, S. G., Finch, J. F., & Curran, P. J. (1995). Structural equation models with nonnormal variables. Problems and remedies. In R.H. Hoyle (Ed.). Structural equation modeling: Concepts, issues and applications (pp. 56-75). Newbury Park, CA: Sage. Smith, R. E., Smoll, F. L., Cumming, S. P., & Grossbard, J. R. (2006). Measurement of multidimensional sport performance anxiety in children and adults: The Sport Anxiety Scale-2. Journal of Sport & Exercise Psychology, 28, 479-501. Serpa, S., Alves, P., & Barreiros, A. (2004). Versão Portuguesa da Multidimensonal Perfectionism Scale (MPSp): Processos de Tradução, Adaptação e Verificação Psicométrica. Schumaker, R. E., & Lomax, R. G. (2004). A beginner’s guide to structural equation modeling. Mahwah, NJ: Psychology Press. Kline, R. B. (2011). Principles and practices of structural equation modeling. New York, NY: The Guilford Press. Sagar, S. S., & Stoeber, J. (2009). Perfectionism, Fear of Failure and Affective Responses to Success and Failure: The Central Role of Fear of Experiencing Shame and Embarrassment. Journal of Sport and Exercise Psychological, 31, 602-627. Parker, W. D., & Stumpf, H. (1995). An examination of the Multidimensional Perfectionism Scale with a sample of academically talented children. Journal of Psychoeducational Assessment, 13, 372-383. Parker, W. D., & Adkins, K. K. (1995). A psychometric examination of the Multidimensional Perfectionism Scale. Journal of Psychopathology and Behavioral Assessment, 17, 323-334. Marsh, H. W. (2007). Application of confirmatory factor analysis and structural equation modeling in sport/exercise psychology. In G. Tenenbaum & R. C. Eklund (Eds.), Handbook of sport psychology (3rd ed., pp. 774-798). New York, NY: Wiley. Marôco, J. (2010). Análise de equações estruturais: fundamentos teóricos, software & aplicações [Structural equation modeling: Theoretical foundations, software and aplications]. Lisboa, Portugal: Report Number. Mardia, K. V. (1970). Measures of multivariate skewness and kurtosis with applications. Biometrika, 57, 519–530. Markland, D., & Ingledew, D. K. (1997). The measurement of exercise motives: factorial validity and invariance across gender of a revised Exercise Motivations Inventory. British Journal of Health Psychology, 2, 361-376. Bollen, K. A., & Stine, R. A. (1993). Bootstrapping Goodness-of-Fit Measures in Structural Equation Models In Bollen, K. Long, J., Testing Structural Equation Models, 111-135. Sage Focus Edition, Newbury Park, CA. Loehlin, J. C. (2003). Latent variable models: An introduction to factor, path, and structural equation analysis. Mahwah, NJ: Lawrence Erlbaum Associates. Brown, T. (2006). Confirmatory factor analysis for applied research. New York, NY. The Guildford Press. Blunch N. J. (2008). Introduction to structural equation modeling using SPSS and AMOS. Thousand Oaks, CA: SAGE. 1 application/vnd.openxmlformats-officedocument.wordprocessingml.document Biddle, B. J., & Marlin, M. M. (1987). Causality, confirmation, credulity, and structural equation modeling. Child Development, 58, 4-17. application/vnd.openxmlformats-officedocument.wordprocessingml.document application/pdf Journal article Núm. 1 , Año 2017 : Vol 10 (1) 10 Universidad San Buenaventura - USB (Colombia) athletes. factorial structure sports validation perfectionism Coreia, Marco Estêvão Abstract: Perfectionism is defined as the desire to achieve the highest standards of performance, in combination with unduly critical evaluations of one´s performance (Frost, Marten, Lahart, & Rosenblate, 1990). This study was designed to analyse the psychometric proprieties of the Portuguese version of the Frost Multidimensional Perfectionism Scale (MPS-F) using confirmatory factor analysis. A total of 556 Portuguese athletes completed the MPS-F. Confirmatory factor analysis was employed to test whether the proposed multi-factorial structure of MPS-F fits the Portuguese data well. The psychometric properties of the new model indicated that all constructs had good internal consistency, convergent validity, and discriminant validity. A multi-group analysis showed the cross validity of the model. The correlations between perfectionism, fear of failure and sport anxiety measures revealed evidence of its concurrent validity, providing evidence for the proposed model as a valid tool for assessing perfectionism in Portuguese sport contexts. application/vnd.openxmlformats-officedocument.wordprocessingml.document application/vnd.openxmlformats-officedocument.wordprocessingml.document International Journal of Psychological Research https://creativecommons.org/licenses/by-nc-sa/4.0/ Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in analysis of covariance structures. Psychological Bulletin, 88, 588-606. doi:10.1037/0033-2909.88.3.588 Bentler, P. M., & Wu, E. J. C. (1993). EQS/Windows user’s guide. Los Angeles: BMDP Statistical Software. Bentler, P., & Chou, C.P. (1987). Practical issues in structural modelling. Sociological Methods and Research, 16, 78-117. Arbuckle, J. (2009). AMOS18 reference guide (version 18). Chicago, IL: Statistical Package for the Social Sciences. Anderson, J., & Gerbing, D. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103, 411-423. doi:10.1037/0033-2909.103.3.411 Ablard, K. E., & Parker, W. D. (1997). Parents’ achievement goals and perfectionism in their academically talented children. Journal of Youth and Adolescence, 26, 651-668. International Journal of Psychological Research - 2017 Publication Inglés https://revistas.usb.edu.co/index.php/IJPR/article/view/2109 2017-01-01T00:00:00Z 8 2011-2084 https://revistas.usb.edu.co/index.php/IJPR/article/download/2109/3032 https://revistas.usb.edu.co/index.php/IJPR/article/download/2109/3033 https://revistas.usb.edu.co/index.php/IJPR/article/download/2109/3034 https://revistas.usb.edu.co/index.php/IJPR/article/download/2109/3035 17 2017-01-01T00:00:00Z 2016-01-01 https://doi.org/10.21500/20112084.2109 10.21500/20112084.2109 2011-7922 https://revistas.usb.edu.co/index.php/IJPR/article/download/2109/2451 |
institution |
UNIVERSIDAD DE SAN BUENAVENTURA |
thumbnail |
https://nuevo.metarevistas.org/UNIVERSIDADDESANBUENAVENTURA_COLOMBIA/logo.png |
country_str |
Colombia |
collection |
International Journal of Psychological Research |
title |
Psychometric proprieties of the portuguese version of the frost multidimensional perfectionism scale |
spellingShingle |
Psychometric proprieties of the portuguese version of the frost multidimensional perfectionism scale Coreia, Marco Estêvão athletes. factorial structure sports validation perfectionism |
title_short |
Psychometric proprieties of the portuguese version of the frost multidimensional perfectionism scale |
title_full |
Psychometric proprieties of the portuguese version of the frost multidimensional perfectionism scale |
title_fullStr |
Psychometric proprieties of the portuguese version of the frost multidimensional perfectionism scale |
title_full_unstemmed |
Psychometric proprieties of the portuguese version of the frost multidimensional perfectionism scale |
title_sort |
psychometric proprieties of the portuguese version of the frost multidimensional perfectionism scale |
description_eng |
Abstract: Perfectionism is defined as the desire to achieve the highest standards of performance, in combination with unduly critical evaluations of one´s performance (Frost, Marten, Lahart, & Rosenblate, 1990). This study was designed to analyse the psychometric proprieties of the Portuguese version of the Frost Multidimensional Perfectionism Scale (MPS-F) using confirmatory factor analysis. A total of 556 Portuguese athletes completed the MPS-F. Confirmatory factor analysis was employed to test whether the proposed multi-factorial structure of MPS-F fits the Portuguese data well. The psychometric properties of the new model indicated that all constructs had good internal consistency, convergent validity, and discriminant validity. A multi-group analysis showed the cross validity of the model. The correlations between perfectionism, fear of failure and sport anxiety measures revealed evidence of its concurrent validity, providing evidence for the proposed model as a valid tool for assessing perfectionism in Portuguese sport contexts.
|
author |
Coreia, Marco Estêvão |
author_facet |
Coreia, Marco Estêvão |
topic |
athletes. factorial structure sports validation perfectionism |
topic_facet |
athletes. factorial structure sports validation perfectionism |
citationvolume |
10 |
citationissue |
1 |
citationedition |
Núm. 1 , Año 2017 : Vol 10 (1) |
publisher |
Universidad San Buenaventura - USB (Colombia) |
ispartofjournal |
International Journal of Psychological Research |
source |
https://revistas.usb.edu.co/index.php/IJPR/article/view/2109 |
language |
Inglés |
format |
Article |
rights |
http://purl.org/coar/access_right/c_abf2 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/4.0/ International Journal of Psychological Research - 2017 |
references_eng |
Fornell, C., & Larcker, D. (1981). Evaluation structural equations models with unobservable variable and measurement error. Journal of Marketing Research, 18, 39-50. doi:10.2307/3151312 Hofmann, R. (1995). Establishing factor validity using variable reduction in confirmatory factor analysis. Educational and Psychological Measurement, 55, 572-582. Hall, H. K., Kerr, A. W., & Matthews, J. (1998). Precompetitive anxiety in sport: The contribution of achievement goals and perfectionism. Journal of Sport and Exercise Psychology, 20, 194-217. Hair, J., Anderson, R., Tatham, R., & Black, W. (2009). Multivariate data analysis. Upper Saddle River, NJ: Prentice Hall. Frost, R. O., Marten, P., Lahart, C., & Rosenblate, R. (1990). The dimensions of perfectionism. Cognitive Therapy and Research, 14, 449–468. Frost, R. O., Heimberg, R. G., Holt, C. S., Mattia, J. I., & Neubauer, A. L. (1993). A comparison of two measures of perfectionism. Personality and Individual Differences, 14, 119–126. Frost, R. O., & Henderson, K. J. (1991). Perfectionism and reactions to athletic competition. Journal of Sport & Exercise Psychology, 13, 323-335. Cruz, J. F., & Gomes, A. R. (2007). Escala de Ansiedade no Desporto (EAD-2) – Versão para investigação [The Sport Anxiety Scale-2]. Braga, Portugal: Universidade do Minho. Davey, A. (2010). Statistical power analysis with missing data: A structural equation modeling approach. New York, NY: Taylor and Francis Group. Kaye, M. P., Conroy, D. E., & Fifer, A. M. (2008). Individual differences in incompetence avoidance. Journal of Sport & Exercise Psychology, 30, 110-132. Correia, M. E., Rosado, A., & Serpa, S., (2015). Adaptation of the Performance Failure Appraisal Inventory (PFAIp) in a Portuguese Sport Setting. Manuscript submitted for publication. Conroy, D. E., Willow, J. P., & Metzler, J. N. (2002). Multidimensional fear of failure measurement: The Performance Failure Appraisal Inventory. Journal of Applied Sport Psychology, 14, 76-90. doi:10.1080/10413200252907752 Conroy, D. E., Kaye, M. P., & Fifer, A. M. (2007). Cognitive links between fear of failure and perfectionism. Journal of Rational-Emotive and Cognitive Behavior Therapy, 25, 237-253. doi:10.1007/s10942-007-0052-7 Coen, S. P., & Ogles, B. M. (1993). Psychological characteristics of the obligatory runner: a critical examination of the anorexia analogue hypothesis. Journal of Sport & Exercise Psychology, 15, 338–354. Cheung, G., & Rensvold, R. (2002) Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 9, 233-255. doi:10.1207/S15328007SEM0902_5 Campbell, D., & Fiske, D. (1959). Convergent and discriminant validation by the multitrait multimethod matrix. Psychological Bulletin, 56, 81-105. doi:10.1037/h0046016 Byrne, B. M. (2010). Structural equation modeling with Amos: Basic concepts, applications, and programming. New York, NY: Taylor and Francis Group. Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modelling: A Multidisciplinary Journal, 6, 1-55. Kline, R. B. (2004). Beyond significance testing: Reforming data analysis methods in behavioral research. Washington, DC: American Psychological Association. West, S. G., Finch, J. F., & Curran, P. J. (1995). Structural equation models with nonnormal variables. Problems and remedies. In R.H. Hoyle (Ed.). Structural equation modeling: Concepts, issues and applications (pp. 56-75). Newbury Park, CA: Sage. Smith, R. E., Smoll, F. L., Cumming, S. P., & Grossbard, J. R. (2006). Measurement of multidimensional sport performance anxiety in children and adults: The Sport Anxiety Scale-2. Journal of Sport & Exercise Psychology, 28, 479-501. Serpa, S., Alves, P., & Barreiros, A. (2004). Versão Portuguesa da Multidimensonal Perfectionism Scale (MPSp): Processos de Tradução, Adaptação e Verificação Psicométrica. Schumaker, R. E., & Lomax, R. G. (2004). A beginner’s guide to structural equation modeling. Mahwah, NJ: Psychology Press. Kline, R. B. (2011). Principles and practices of structural equation modeling. New York, NY: The Guilford Press. Sagar, S. S., & Stoeber, J. (2009). Perfectionism, Fear of Failure and Affective Responses to Success and Failure: The Central Role of Fear of Experiencing Shame and Embarrassment. Journal of Sport and Exercise Psychological, 31, 602-627. Parker, W. D., & Stumpf, H. (1995). An examination of the Multidimensional Perfectionism Scale with a sample of academically talented children. Journal of Psychoeducational Assessment, 13, 372-383. Parker, W. D., & Adkins, K. K. (1995). A psychometric examination of the Multidimensional Perfectionism Scale. Journal of Psychopathology and Behavioral Assessment, 17, 323-334. Marsh, H. W. (2007). Application of confirmatory factor analysis and structural equation modeling in sport/exercise psychology. In G. Tenenbaum & R. C. Eklund (Eds.), Handbook of sport psychology (3rd ed., pp. 774-798). New York, NY: Wiley. Marôco, J. (2010). Análise de equações estruturais: fundamentos teóricos, software & aplicações [Structural equation modeling: Theoretical foundations, software and aplications]. Lisboa, Portugal: Report Number. Mardia, K. V. (1970). Measures of multivariate skewness and kurtosis with applications. Biometrika, 57, 519–530. Markland, D., & Ingledew, D. K. (1997). The measurement of exercise motives: factorial validity and invariance across gender of a revised Exercise Motivations Inventory. British Journal of Health Psychology, 2, 361-376. Bollen, K. A., & Stine, R. A. (1993). Bootstrapping Goodness-of-Fit Measures in Structural Equation Models In Bollen, K. Long, J., Testing Structural Equation Models, 111-135. Sage Focus Edition, Newbury Park, CA. Loehlin, J. C. (2003). Latent variable models: An introduction to factor, path, and structural equation analysis. Mahwah, NJ: Lawrence Erlbaum Associates. Brown, T. (2006). Confirmatory factor analysis for applied research. New York, NY. The Guildford Press. Blunch N. J. (2008). Introduction to structural equation modeling using SPSS and AMOS. Thousand Oaks, CA: SAGE. Biddle, B. J., & Marlin, M. M. (1987). Causality, confirmation, credulity, and structural equation modeling. Child Development, 58, 4-17. Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in analysis of covariance structures. Psychological Bulletin, 88, 588-606. doi:10.1037/0033-2909.88.3.588 Bentler, P. M., & Wu, E. J. C. (1993). EQS/Windows user’s guide. Los Angeles: BMDP Statistical Software. Bentler, P., & Chou, C.P. (1987). Practical issues in structural modelling. Sociological Methods and Research, 16, 78-117. Arbuckle, J. (2009). AMOS18 reference guide (version 18). Chicago, IL: Statistical Package for the Social Sciences. Anderson, J., & Gerbing, D. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103, 411-423. doi:10.1037/0033-2909.103.3.411 Ablard, K. E., & Parker, W. D. (1997). Parents’ achievement goals and perfectionism in their academically talented children. Journal of Youth and Adolescence, 26, 651-668. |
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https://revistas.usb.edu.co/index.php/IJPR/article/view/2109 |
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https://doi.org/10.21500/20112084.2109 |
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2011-2084 |
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2011-7922 |
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10.21500/20112084.2109 |
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