English validation of the short form of the Physical Self-Inventory (PSI-S)

Morin, Alexandre J. S.; Maïano, Christophe; White, Rhiannon Lee; Owen, Katherine; Tracey, Danielle; Mascret, Nicolas; Lonsdale, Chris

doi:10.1016/j.psychsport.2016.08.016

Cited by 20 publications

(38 citation statements)

References 67 publications

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“…Invariance tests were performed based on the extended taxonomy of Marsh et al ( 2009 , see also Morin et al, 2013 ) including a total of 13 levels of invariance with different combinations of parameters being constrained to equal. However, there are six levels that of key importance in the measurement invariance literature (Meredith, 1993 ; Morin et al, 2016 ): configural invariance, weak (metric) invariance, strong (scalar) invariance, strict (residual) invariance, latent variance-covariance invariance, and latent means invariance. Were strong measurement invariance achieved, the two samples then would be combined to maximize the available sample size when testing measurement invariance as a function of gender, age, and their interaction (gender × age).…”

Section: Methodsmentioning

confidence: 99%

“…Although it allows for a more thorough and rigorous invariance testing, it has problems inherent to the suboptimal transformation of continuous variables which could potentially result in information loss. In similar situations, (MIMIC) models can be pursued (Morin et al, 2013 , 2016 ). Therefore, in the third phase, building on the most invariant gender model, DIF was tested as a function of age within both gender groups where the factors were regressed on the linear and quadratic components of age (i.e., age and age 2 ) as well.…”

Section: Methodsmentioning

confidence: 99%

“…Although the popularity and usefulness of CFA could be seen as a motivation to create more parsimonious measurement models, these models and items more often than not include a certain level of systematic measurement error in the form of cross-loadings. Given that items are rarely pure indicators of their corresponding constructs, they are fallible in nature, thus at least some degree of construct-relevant association can be expected between items and the non-target, yet conceptually-related constructs (Morin et al, 2016 ). When non-zero cross-loadings are present and unexpressed at the same time, such restrictive constraints (i.e., items can only load on one factor) could inflate the associations between the factors as the misspecified cross-loadings could only be expressed through these factorial associations.…”

Section: Introductionmentioning

confidence: 99%

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An Illustration of the Exploratory Structural Equation Modeling (ESEM) Framework on the Passion Scale

et al. 2017

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While exploratory factor analysis (EFA) provides a more realistic presentation of the data with the allowance of item cross-loadings, confirmatory factor analysis (CFA) includes many methodological advances that the former does not. To create a synergy of the two, exploratory structural equation modeling (ESEM) was proposed as an alternative solution, incorporating the advantages of EFA and CFA. The present investigation is thus an illustrative demonstration of the applicability and flexibility of ESEM. To achieve this goal, we compared CFA and ESEM models, then thoroughly tested measurement invariance and differential item functioning through multiple-indicators-multiple-causes (MIMIC) models on the Passion Scale, the only measure of the Dualistic Model of Passion (DMP) which differentiates between harmonious and obsessive forms of passion. Moreover, a hybrid model was also created to overcome the drawbacks of the two methods. Analyses of the first large community sample (N = 7,466; 67.7% females; Mage = 26.01) revealed the superiority of the ESEM model relative to CFA in terms of improved goodness-of-fit and less correlated factors, while at the same time retaining the high definition of the factors. However, this fit was only achieved with the inclusion of three correlated uniquenesses, two of which appeared in previous studies and one of which was specific to the current investigation. These findings were replicated on a second, comprehensive sample (N = 504; 51.8% females; Mage = 39.59). After combining the two samples, complete measurement invariance (factor loadings, item intercepts, item uniquenesses, factor variances-covariances, and latent means) was achieved across gender and partial invariance across age groups and their combination. Only one item intercept was non-invariant across both multigroup and MIMIC approaches, an observation that was further corroborated by the hybrid model. While obsessive passion showed a slight decline in the hybrid model, harmonious passion did not. Overall, the ESEM framework is a viable alternative of CFA that could be used and even extended to address substantially important questions and researchers should systematically compare these two approaches to identify the most suitable one.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An Illustration of the Exploratory Structural Equation Modeling (ESEM) Framework on the Passion Scale

et al. 2017

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“…2 Sağlıklı bireylerin yanı sıra obez, 3 şizofreni, 4 duygudurum bozukluğu 5 ve depresyonu olan 6,7 bireyler gibi farklı örneklemlerde yapılan fiziksel benlik algısı araştırmaları, Kendini Fiziksel Algı-lama Ölçeği (Physical Self-Perception Profile) 8 ve Kendini Fiziksel Tanımlama Ölçeği (Physical Self-Description Questionnaire) 9 gibi fiziksel benlik kavramının çok boyutlu ölçümlerinin geliş-tirilmesi ile hızlanmıştır. 10 Kendini Fiziksel Algılama Ölçeğinin (KFAÖ) İngi-lizce konuşulan ülke örneklemlerinde 11 geçerlili-ğinin saptanmasının yanı sıra, Portekiz, İspanya, İsveç, Belçika, Hollanda ve Türkiye örneklemle-rinde kültürlerarası geçerliliğinin de olduğu ortaya konmuştur. 12 KFAÖ, araştırmalarda kullanıl-dıkça bazı özelliklerine ilişkin sorunların yaşan-dığı belirtilmiştir.…”

Section: Introductionunclassified

Psychometric properties of Physical Self Inventory-Turkish version among university students

Çağlar¹,

Aşçı²,

Bilgili³

2017

Anadolu Psikiyatri Derg

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“…29,30 Fiziksel Benlik Ölçeği'nin kısa formu İngiliz ergenlerde geçerli ve güvenilir bulunmuş, İtalyan, Hollandalı, Türk ve Arap ergenlerde kültürler arası geçerliliğe sahip olduğu belirtilmiştir. 31,32 Fiziksel Benlik Ölçeği'nin çok kısa formu ise Hollanda ve İtalyan kültürlerinde ergenlerin fiziksel benlik algılarının ölçümünde geçerli ve güvenilir bulunmuştur. 33,34 Ayrıca ölçeğin 25 maddelik formu Türk üniversite öğrencileriyle, 12 maddelik çok kısa formu ise 12-19 yaşındaki Türk ergenlerde yürütülen çalışmalarda geçerli ve güvenilir bulunmuştur.…”

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The Validity and Reliability of the Short Form of the Physical Self-Description Questionnaire Among Adolescents

Urfa¹,

Yıldızer²,

Aşçı³

et al. 2019

Turkiye Klinikleri J Sports Sci

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Ö ÖZ ZE ET T A Am ma aç ç: : Bu çalışmanın amacı, Kendini Fiziksel Tanımlama Envanteri kısa formunun (KFTE-K) Türkçe versiyonunun geçerlilik ve güvenirliliğinin ergenlerde test edilmesidir. G Ge er re eç ç v ve e Y Yö ön n-t te em ml le er r: : Araştırma iki çalışmadan oluşmaktadır. Birinci çalışmada envanterin yapı geçerliliği doğrulayıcı faktör analizi ile incelenmiş, yakınsak ve ıraksak geçerliliği ise Çıkarılmış Ortalama Varyans (AVE) ve Birleşik Güvenirlilik (CR) değerleri ile incelenmiştir. Envanterin güvenirliliği için iç tutarlık katsayısı hesaplanmıştır. İkinci aşamada ise envanterin cinsiyete göre ölçüm değişmezliği çoklu grup doğrulayıcı faktör analizi ile incelenmiştir. Birinci çalışmaya 12-18 yaş aralığında, 233 kız (x yaş = 14,33±1,56), 91 erkek (x yaş = 14,67±1,59) olmak üzere 324 ergen (x yaş = 14,42±1,57); ikinci çalışmaya ise 12-19 yaş aralığında, 720 kız (x yaş =15,44±1,03), 929 erkek (x yaş = 15,35±1,45) toplam 1.649 ergen (x yaş = 15,39±1,28) katılmıştır. B Bu ul lg gu ul la ar r: : Birinci çalışmada yapılan doğrulayıcı faktör analizinde kabul edilebilir uyum değerlerine ulaşılırken, AVE ve CR değerleri de kabul edilebilir sınırlardadır. Envanterin alt boyutlarına ait iç tutarlık katsayısı ise 0,73 (Kendine güven) ile 0,93 (Spor yeteneği) arasındadır. İkinci çalışmada yapılan çoklu grup doğrulayıcı faktör analizinde ise envanterin cinsiyet değişkenine göre biçimsel, zayıf, güçlü ve katı değişmezliği sağladığı görülmüştür. S So on nu uç ç: : Tüm bu bulgular neticesinde KFTE-K, yapı geçerliliği, yakınsak, ıraksak geçerlilik, güvenirlilik ve cinsiyetlere göre ölçüm değişmezliği sağlamaktadır. Envanterin fiziksel benlik algısı ve genel benlik algısı ile ilgili yapılan araştırmalarda kullanmak için geçerli ve güvenilir bir ölçme aracı olduğu söylenebilir.A An na ah h t ta ar r K Ke e l li i m me e l le er r: : Fiziksel benlik algısı; ergen psikolojisi; faktör analizi A AB BS S T TR RA AC CT T O Ob bj je ec ct ti iv ve e: : The purpose of this study was to test the reliability and validity of Turkish version of Physical Self-Description Questionnaire Short Form (PSDQ-S) for adolescents. The research consists of two separate studies. M Ma at te er ri ia al l a an nd d M Me et th ho od ds s: : In the first study, the construct validity of the scale was examined by confirmatory factor analysis and its convergent and discriminant validity was also examined by Average Variance Extracted (AVE) and Composite Reliability (CR) values. The internal consistency coefficient was calculated for the reliability of the scale. In the second study, measurement invariance of the scale with regard to gender was examined by multiple-group confirmatory factor analysis. Two hundred thirty-three females (M age = 14.33±1.56) and 91 males (M age = 14.67±1.59), totally 324 adolescents (M age = 14.42±1.57) voluntarily participated in the first study and 720 females (M age = 15.44±1.03) and 929 males (M age = 15.35±1.45), totally 1.649 adolescents (M age = 15.39±1.28) participated in the second study. R Re es su ul lt ts s: : ...

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English validation of the short form of the Physical Self-Inventory (PSI-S)

Cited by 20 publications

References 67 publications

An Illustration of the Exploratory Structural Equation Modeling (ESEM) Framework on the Passion Scale

An Illustration of the Exploratory Structural Equation Modeling (ESEM) Framework on the Passion Scale

Psychometric properties of Physical Self Inventory-Turkish version among university students

The Validity and Reliability of the Short Form of the Physical Self-Description Questionnaire Among Adolescents

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