دانلود مقاله ISI انگلیسی شماره 30738
عنوان فارسی مقاله

ساختار عاملی مقیاس اضطراب تعامل اجتماعی و مقیاس هراس اجتماعی

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
30738 2011 5 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
The factor structure of the Social Interaction Anxiety Scale and the Social Phobia Scale
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Journal of Anxiety Disorders, Volume 25, Issue 4, May 2011, Pages 579–583

کلمات کلیدی
- اختلال اضطراب اجتماعی - هراس اجتماعی - تحلیل عاملی تأییدی - تجزیه و تحلیل چند نمونه - اضطراب تعامل - اضطراب عملکرد -
پیش نمایش مقاله
پیش نمایش مقاله ساختار عاملی مقیاس اضطراب تعامل اجتماعی و مقیاس هراس اجتماعی

چکیده انگلیسی

The Social Interaction Anxiety Scale (SIAS) and the Social Phobia Scale (SPS) are two compendium measures that have become some of the most popular self-report scales of social anxiety. Despite their popularity, it remains unclear whether it is necessary to maintain two separate scales of social anxiety. The primary objective of the present study was to examine the factor analytic structure of both measures to determine the factorial validity of each scale. For this purpose, we administered both scales to 577 patients at the beginning of outpatient treatment. Analyzing both scales simultaneously, a CFA with two correlated factors showed a better fit to the data than a single factor model. An additional EFA with an oblique rotation on all 40 items using the WLSMV estimator further supported the two factor solution. These results suggest that the SIAS and SPS measure similar, but not identical facets of social anxiety. Thus, our findings provide support to retain the SIAS and SPS as two separate scales.

مقدمه انگلیسی

Although social anxiety disorder (SAD) is considered a diagnostic entity, social anxiety is a multifaceted and multidimensional construct (for a review, see Hofmann, Heinrichs, & Moscovitch, 2004). Patients with this disorder fear and avoid a range of different social situations to different degrees, and self-report instruments have to account for the heterogeneity of individuals who receive this diagnostic label. Numerous attempts have been made to classify the feared situations into distinctive domains. Most of the classifications comprised two or three types of situations, including performance and public speaking, interaction, and being observed while performing acts such as writing or eating. (Hofmann et al., 2004). Such categorization might be a useful basis for the specification of different subtypes of SAD. Currently, the DSM-V Work Group on Anxiety found strong support for the definition of a subtype “predominantly performance” and some evidence for another subtype “fear of showing anxiety symptoms” (e.g., blushing), whereas most patients suffer from fears across domains, including interaction anxiety (Bögels et al., 2010). As a consequence, to investigate the diagnostic and etiological relevance of situational domains, assessment instruments are needed which discriminate between social fears in performance and interaction situations. Two of the most commonly used self-report instruments for measuring social anxiety are the Social Interaction Anxiety Scale (SIAS; Mattick & Clarke, 1998) and the Social Phobia Scale (SPS; Mattick & Clarke, 1998). The purpose of the latter one is to measure fears of being scrutinized during activities and performance tasks, whereas the SIAS was created to assess fears of more general social interactions (Mattick & Clarke, 1998). While the SIAS was not specifically designed for individuals with a clinical diagnosis of social anxiety disorder, the SPS was specifically developed for this population. However, studies that have used the SPS in social phobic samples and non-social phobic samples yielded with very similar psychometric properties and factor structures (e.g., Carleton et al., 2009). Research has yielded broad support for the reliability and validity of both the SIAS and the SPS. The two scales are highly internally consistent and show good retest-reliability (Heimberg et al., 1992 and Mattick and Clarke, 1998). In addition, the SIAS and SPS are able to discriminate between individuals with SAD and healthy controls (Heimberg et al., 1992) as well as between patients with SAD and those with other forms of anxiety disorders (Mattick and Clarke, 1998 and Stangier et al., 1999). No significant correlation was found between self-reported SAD as measured by SIAS and SPS and social desirability (Heimberg et al., 1992 and Mattick and Clarke, 1998). Furthermore, Heimberg et al. (1992) found that the SIAS correlated more highly with a measure of interaction anxiety than with a measure of performance anxiety, whereas the SPS was only correlated with a measure of performance anxiety. In a similar fashion and based on behavioral assessment tests, Ries et al. (1998) observed that the SIAS was correlated with verbal reports regarding positive and negative thoughts in speech and conversation situations while the SPS was only related to verbal reports in the speech task (negative correlation with speech duration). Brown et al. (1997) have argued that the SIAS and SPS constitute subscales of a higher-order construct social anxiety. However, despite these positive psychometric characteristics, the assumption of two underlying dimensions for the SIAS and SPS (Social Interaction Anxiety and Social Performance Anxiety, respectively) has yet to be adequately addressed. All published reports have found high to very high intercorrelations between the SIAS and SPS (Brown et al., 1997: r = .72; Heimberg et al., 1992: r = .41 social phobic group, r = .89 community sample; Peters, 2000: r = .73; Ries et al., 1998: r = .66; Stangier et al., 1999: r = .78 social phobic group, r = .69 clinical control group). While the amount of explained variance evidently varies according to the respective sample, there is clear evidence of a large amount of shared variance. Furthermore, there is little evidence that the SIAS and SPS differ significantly with respect to important clinical domains, such as treatment sensitivity ( Stangier, Schramm, Heidenreich, Berger, & Clark, in press). So far, only one study has investigated the joint factor structure of the SIAS and the SPS (Safren, Turk, & Heimberg, 1998). In this study, a confirmatory factor analysis (CFA) failed to adequately support the hypothesis of two distinct constructs. However, in light of the very large number of parameters (81) to be estimated in their CFA comprising all 40 SIAS and SPS items, the sample size of N = 167 might have simply been too small for these tests (cf. Muthén & Muthén, 2002). While a large number of degrees of freedom may compensate for a small sample size ( MacCallum, Browne, & Sugawara, 1996), power may have been too low to obtain precise parameter estimates. In the same trial ( Safren et al., 1998), a three-factor solution was obtained using exploratory factor analysis (EFA) with varimax rotation. The first factor consisted of 17 SIAS items (“interaction anxiety”), the second factor of 11 SPS items (“being observed by others”), and the third factor of 5 SPS Items (“fear that others will notice anxiety symptoms”); 3 SIAS and 4 SPS items were eliminated due to high cross-loadings. More recently, two reports ( Rodebaugh et al., 2007 and Rodebaugh et al., 2006) questioned the factorial structure of the SIAS. Results of CFAs from both studies provide strong evidence that there are systematic differences between responses to negatively worded items in comparison to positively worded items of the scale. In addition, the negatively worded items showed consistently weaker relationships with a variety of comparison measures. The authors concluded that only the 17 positively worded items of the SIAS should be used. Given the high intercorrelations found in all studies employing the SIAS and SPS and the problem that previous studies predominantly applied EFA for construct validation, evidence to date does not allow firm conclusions regarding the factorial structures of SIAS and SPS. It also remains unclear whether both scales assess the same or different underlying constructs. Hence, the primary objective of the present study was to examine whether the existence of two separate scales is justified by investigating the latent factor structures of the SIAS and the SPS using CFA. We further examined possible response pattern biases due to similar wording.

خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.