Psychometric evaluation of the Overexcitability Questionnaire-Two applying Bayesian Structural Equation Modeling (BSEM) and multiple-group BSEM-based alignment with approximate measurement invariance

The Overexcitability Questionnaire-Two (OEQ-II) measures the degree and nature of overexcitability, which assists in determining the developmental potential of an individual according to Dabrowski’s Theory of Positive Disintegration. Previous validation studies using frequentist confirmatory factor...
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Gespeichert in:

Autor*in:	Niki eDe Bondt [verfasserIn] Peter eVan Petegem [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2015

Schlagwörter:	Psychometrics Bayesian structural equation modeling approximate measurement invariance Overexcitability Questionnaire-Two (OEQ-II) alignment optimization method Dabrowski’s Theory of Positive Disintegration

Übergeordnetes Werk:	In: Frontiers in Psychology - Frontiers Media S.A., 2010, 6(2015)
Übergeordnetes Werk:	volume:6 ; year:2015

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3389/fpsyg.2015.01963

Katalog-ID:	DOAJ077531450

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spelling	10.3389/fpsyg.2015.01963 doi (DE-627)DOAJ077531450 (DE-599)DOAJ7e9c942179774ada9bbf9285ecaf1197 DE-627 ger DE-627 rakwb eng BF1-990 Niki eDe Bondt verfasserin aut Psychometric evaluation of the Overexcitability Questionnaire-Two applying Bayesian Structural Equation Modeling (BSEM) and multiple-group BSEM-based alignment with approximate measurement invariance 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The Overexcitability Questionnaire-Two (OEQ-II) measures the degree and nature of overexcitability, which assists in determining the developmental potential of an individual according to Dabrowski’s Theory of Positive Disintegration. Previous validation studies using frequentist confirmatory factor analysis, which postulates exact parameter constraints, led to model rejection and a long series of model modifications. Bayesian structural equation modeling (BSEM) allows the application of zero-mean, small-variance priors for cross-loadings, residual covariances, and differences in measurement parameters across groups, better reflecting substantive theory and leading to better model fit and less overestimation of factor correlations. Our BSEM analysis with a sample of 516 students in higher education yields positive results regarding the factorial validity of the OEQ-II. Likewise, applying BSEM-based alignment with approximate measurement invariance, the absence of non-invariant factor loadings and intercepts across gender is supportive of the psychometric quality of the OEQ-II. Compared to males, females scored significantly higher on emotional and sensual overexcitability, and significantly lower on psychomotor overexcitability. Psychometrics Bayesian structural equation modeling approximate measurement invariance Overexcitability Questionnaire-Two (OEQ-II) alignment optimization method Dabrowski’s Theory of Positive Disintegration Psychology Peter eVan Petegem verfasserin aut In Frontiers in Psychology Frontiers Media S.A., 2010 6(2015) (DE-627)631495711 (DE-600)2563826-9 16641078 nnns volume:6 year:2015 https://doi.org/10.3389/fpsyg.2015.01963 kostenfrei https://doaj.org/article/7e9c942179774ada9bbf9285ecaf1197 kostenfrei http://journal.frontiersin.org/Journal/10.3389/fpsyg.2015.01963/full kostenfrei https://doaj.org/toc/1664-1078 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2086 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2015
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allfieldsGer	10.3389/fpsyg.2015.01963 doi (DE-627)DOAJ077531450 (DE-599)DOAJ7e9c942179774ada9bbf9285ecaf1197 DE-627 ger DE-627 rakwb eng BF1-990 Niki eDe Bondt verfasserin aut Psychometric evaluation of the Overexcitability Questionnaire-Two applying Bayesian Structural Equation Modeling (BSEM) and multiple-group BSEM-based alignment with approximate measurement invariance 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The Overexcitability Questionnaire-Two (OEQ-II) measures the degree and nature of overexcitability, which assists in determining the developmental potential of an individual according to Dabrowski’s Theory of Positive Disintegration. Previous validation studies using frequentist confirmatory factor analysis, which postulates exact parameter constraints, led to model rejection and a long series of model modifications. Bayesian structural equation modeling (BSEM) allows the application of zero-mean, small-variance priors for cross-loadings, residual covariances, and differences in measurement parameters across groups, better reflecting substantive theory and leading to better model fit and less overestimation of factor correlations. Our BSEM analysis with a sample of 516 students in higher education yields positive results regarding the factorial validity of the OEQ-II. Likewise, applying BSEM-based alignment with approximate measurement invariance, the absence of non-invariant factor loadings and intercepts across gender is supportive of the psychometric quality of the OEQ-II. Compared to males, females scored significantly higher on emotional and sensual overexcitability, and significantly lower on psychomotor overexcitability. Psychometrics Bayesian structural equation modeling approximate measurement invariance Overexcitability Questionnaire-Two (OEQ-II) alignment optimization method Dabrowski’s Theory of Positive Disintegration Psychology Peter eVan Petegem verfasserin aut In Frontiers in Psychology Frontiers Media S.A., 2010 6(2015) (DE-627)631495711 (DE-600)2563826-9 16641078 nnns volume:6 year:2015 https://doi.org/10.3389/fpsyg.2015.01963 kostenfrei https://doaj.org/article/7e9c942179774ada9bbf9285ecaf1197 kostenfrei http://journal.frontiersin.org/Journal/10.3389/fpsyg.2015.01963/full kostenfrei https://doaj.org/toc/1664-1078 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2086 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2015
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callnumber-first	B - Philosophy, Psychology, Religion
author	Niki eDe Bondt
spellingShingle	Niki eDe Bondt misc BF1-990 misc Psychometrics misc Bayesian structural equation modeling misc approximate measurement invariance misc Overexcitability Questionnaire-Two (OEQ-II) misc alignment optimization method misc Dabrowski’s Theory of Positive Disintegration misc Psychology Psychometric evaluation of the Overexcitability Questionnaire-Two applying Bayesian Structural Equation Modeling (BSEM) and multiple-group BSEM-based alignment with approximate measurement invariance
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topic_title	BF1-990 Psychometric evaluation of the Overexcitability Questionnaire-Two applying Bayesian Structural Equation Modeling (BSEM) and multiple-group BSEM-based alignment with approximate measurement invariance Psychometrics Bayesian structural equation modeling approximate measurement invariance Overexcitability Questionnaire-Two (OEQ-II) alignment optimization method Dabrowski’s Theory of Positive Disintegration
topic	misc BF1-990 misc Psychometrics misc Bayesian structural equation modeling misc approximate measurement invariance misc Overexcitability Questionnaire-Two (OEQ-II) misc alignment optimization method misc Dabrowski’s Theory of Positive Disintegration misc Psychology
topic_unstemmed	misc BF1-990 misc Psychometrics misc Bayesian structural equation modeling misc approximate measurement invariance misc Overexcitability Questionnaire-Two (OEQ-II) misc alignment optimization method misc Dabrowski’s Theory of Positive Disintegration misc Psychology
topic_browse	misc BF1-990 misc Psychometrics misc Bayesian structural equation modeling misc approximate measurement invariance misc Overexcitability Questionnaire-Two (OEQ-II) misc alignment optimization method misc Dabrowski’s Theory of Positive Disintegration misc Psychology
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title	Psychometric evaluation of the Overexcitability Questionnaire-Two applying Bayesian Structural Equation Modeling (BSEM) and multiple-group BSEM-based alignment with approximate measurement invariance
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title_full	Psychometric evaluation of the Overexcitability Questionnaire-Two applying Bayesian Structural Equation Modeling (BSEM) and multiple-group BSEM-based alignment with approximate measurement invariance
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title_sort	psychometric evaluation of the overexcitability questionnaire-two applying bayesian structural equation modeling (bsem) and multiple-group bsem-based alignment with approximate measurement invariance
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title_auth	Psychometric evaluation of the Overexcitability Questionnaire-Two applying Bayesian Structural Equation Modeling (BSEM) and multiple-group BSEM-based alignment with approximate measurement invariance
abstract	The Overexcitability Questionnaire-Two (OEQ-II) measures the degree and nature of overexcitability, which assists in determining the developmental potential of an individual according to Dabrowski’s Theory of Positive Disintegration. Previous validation studies using frequentist confirmatory factor analysis, which postulates exact parameter constraints, led to model rejection and a long series of model modifications. Bayesian structural equation modeling (BSEM) allows the application of zero-mean, small-variance priors for cross-loadings, residual covariances, and differences in measurement parameters across groups, better reflecting substantive theory and leading to better model fit and less overestimation of factor correlations. Our BSEM analysis with a sample of 516 students in higher education yields positive results regarding the factorial validity of the OEQ-II. Likewise, applying BSEM-based alignment with approximate measurement invariance, the absence of non-invariant factor loadings and intercepts across gender is supportive of the psychometric quality of the OEQ-II. Compared to males, females scored significantly higher on emotional and sensual overexcitability, and significantly lower on psychomotor overexcitability.
abstractGer	The Overexcitability Questionnaire-Two (OEQ-II) measures the degree and nature of overexcitability, which assists in determining the developmental potential of an individual according to Dabrowski’s Theory of Positive Disintegration. Previous validation studies using frequentist confirmatory factor analysis, which postulates exact parameter constraints, led to model rejection and a long series of model modifications. Bayesian structural equation modeling (BSEM) allows the application of zero-mean, small-variance priors for cross-loadings, residual covariances, and differences in measurement parameters across groups, better reflecting substantive theory and leading to better model fit and less overestimation of factor correlations. Our BSEM analysis with a sample of 516 students in higher education yields positive results regarding the factorial validity of the OEQ-II. Likewise, applying BSEM-based alignment with approximate measurement invariance, the absence of non-invariant factor loadings and intercepts across gender is supportive of the psychometric quality of the OEQ-II. Compared to males, females scored significantly higher on emotional and sensual overexcitability, and significantly lower on psychomotor overexcitability.
abstract_unstemmed	The Overexcitability Questionnaire-Two (OEQ-II) measures the degree and nature of overexcitability, which assists in determining the developmental potential of an individual according to Dabrowski’s Theory of Positive Disintegration. Previous validation studies using frequentist confirmatory factor analysis, which postulates exact parameter constraints, led to model rejection and a long series of model modifications. Bayesian structural equation modeling (BSEM) allows the application of zero-mean, small-variance priors for cross-loadings, residual covariances, and differences in measurement parameters across groups, better reflecting substantive theory and leading to better model fit and less overestimation of factor correlations. Our BSEM analysis with a sample of 516 students in higher education yields positive results regarding the factorial validity of the OEQ-II. Likewise, applying BSEM-based alignment with approximate measurement invariance, the absence of non-invariant factor loadings and intercepts across gender is supportive of the psychometric quality of the OEQ-II. Compared to males, females scored significantly higher on emotional and sensual overexcitability, and significantly lower on psychomotor overexcitability.
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title_short	Psychometric evaluation of the Overexcitability Questionnaire-Two applying Bayesian Structural Equation Modeling (BSEM) and multiple-group BSEM-based alignment with approximate measurement invariance
url	https://doi.org/10.3389/fpsyg.2015.01963 https://doaj.org/article/7e9c942179774ada9bbf9285ecaf1197 http://journal.frontiersin.org/Journal/10.3389/fpsyg.2015.01963/full https://doaj.org/toc/1664-1078
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up_date	2024-07-04T01:35:02.651Z
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Previous validation studies using frequentist confirmatory factor analysis, which postulates exact parameter constraints, led to model rejection and a long series of model modifications. Bayesian structural equation modeling (BSEM) allows the application of zero-mean, small-variance priors for cross-loadings, residual covariances, and differences in measurement parameters across groups, better reflecting substantive theory and leading to better model fit and less overestimation of factor correlations. Our BSEM analysis with a sample of 516 students in higher education yields positive results regarding the factorial validity of the OEQ-II. Likewise, applying BSEM-based alignment with approximate measurement invariance, the absence of non-invariant factor loadings and intercepts across gender is supportive of the psychometric quality of the OEQ-II. 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Psychometric evaluation of the Overexcitability Questionnaire-Two applying Bayesian Structural Equation Modeling (BSEM) and multiple-group BSEM-based alignment with approximate measurement invariance

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