2013
DOI: 10.1016/j.psychsport.2012.07.009
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Developing an instrument to measure physical activity related self-worth in women: Rasch analysis of the Women's Physical Activity Self-Worth Inventory (WPASWI)

Abstract: Objectives: The objective of this study is to report on the development of an instrument to assess non-physical aspects of physical activity (PA) -related self-worth (SW). Methods: Three hundred thirty five women (mean age = 36.69 ± 15.94 yrs, BMI = 24.87 ± 4.56) completed the Women's Physical Activity Self-Worth Inventory (WPASWI), General SW Scale, and a PA Questionnaire. Rasch analysis was used to evaluate the WPASWI. Results: Three PA-related SW subscales were identified: PA Knowledge (16 items), PA Emotio… Show more

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Cited by 14 publications
(13 citation statements)
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“…Engelhard Jr (2013) suggests that further analysis of dimensionality may be achieved through the Eigenvalue units of observed data (4.9, 2.5, 2.2, 1.8 and 1.5) obtained from the matrix of item intercorrelations displayed in Table 5. These Eigenvalues conform to the 3-to-1 ratio of the first-to-second Eigenvalues (Huberty et al, 2013;Alagumalai et al, 2005). This is another criteria for establishing Unidimensionality as suggested by Sinnema et al (2016).…”
Section: Unidimensionality Analysissupporting
confidence: 63%
See 1 more Smart Citation
“…Engelhard Jr (2013) suggests that further analysis of dimensionality may be achieved through the Eigenvalue units of observed data (4.9, 2.5, 2.2, 1.8 and 1.5) obtained from the matrix of item intercorrelations displayed in Table 5. These Eigenvalues conform to the 3-to-1 ratio of the first-to-second Eigenvalues (Huberty et al, 2013;Alagumalai et al, 2005). This is another criteria for establishing Unidimensionality as suggested by Sinnema et al (2016).…”
Section: Unidimensionality Analysissupporting
confidence: 63%
“…The requirement of Unidimensionality is essential for establishing the parameter estimates of Rasch Modeling (Sinnema et al, 2016). The importance in establishing a unidimensional structure is that it provides evidence of internal consistency (Curtis & Boman, 2007;Huberty, Vener, Gao, Matthews, Ransdell, & Elavsky, 2013). The Item Unidimensionality analysis shown in Table 5 provides unbiased reliability estimates that report on the coherence of items and their conformity to the requirement of Unidimensionality.…”
Section: Unidimensionality Analysismentioning
confidence: 99%
“…The Rasch analysis is a psychometric tool widely applied in the educational field to assess the quality of skills and knowledge assessment tests (Bradley, Sampson, & Royal, ; Irwin & Irwin, ; Mahmud, Musa, Ghani, & Rahim, ; Wang, ), as the instruments used in this study. Recent examples of the Rasch analysis can be also found in the fields of public health (Erhart, Ravens‐Sieberer, Dickinson, & Colver, ; Handley, Warholak Jackson, & Jackson, ; Henson, Blandon, & Cranfield, ; Huberty et al, ; Las Hayas, Quintana, Padierna, Bilbao, & Muñoz, ), customer research (Battisti, Nicolini, & Salini, ) and internet use (Annoni, Węziak‐Białowolska, & Farhan, ), among others.…”
Section: Methodsmentioning
confidence: 99%
“…Within the scope of the study, to collect data from the sample group, the "Women's Physical Activity Self-Worth Inventory" was adopted. The scale was developed by Huberty et al (2013) and included 37 items within 3 subscales. The 37 items of the scale, which measures the non-physical aspects of physical activity self-worth in women, are measured by a 4-point Likert-type scale (strongly disagree [1], disagree [2], agree [3], and strongly agree [4]).…”
Section: Data Collection Toolsmentioning
confidence: 99%
“…
This study was conducted with the aim of investigating the physical activity self-worth of women who study in university. To measure the physical activity self-worth of the participants, the "Physical Activity Self-Worth Inventory", which was developed by Huberty et al (2013), was employed. As a result of the data obtained, "Independent samples t-test", which is one of the parametric tests, was conducted to evaluate the level of differentiation in the variable of gender, an independent variable.
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mentioning
confidence: 99%