A new, more powerful approach to multitrait-multimethod analyses: Application of second-order confirmatory factor analysis.

Abstract

The advantages of applying confirmatory factor analysis (CFA) to multitrait-multimethod (MTMM) data are widely recognized. However, because CFA as traditionally applied to MTMM data incorporates single indicators of each scale (i.e., each trait/method combination), important weaknesses are the failure to: (1) correct appropriately for measurement error in scale scores; (2) separate error due to low internal consistency from uniqueness due to weak trait and/or method effects; (3) test whether items or subscales accurately reflect the intended factor structure; and (4) test for correlated uniquenesses. However, when the analy;is begins with multiple indicators of each scale (i.e., items or subscales), second-order factor analysis can be used to address each of these problems. In this approach first-order factors defined by multiple items or subscales are posited for each scale, and the method and trait factors are posited as second-order factors. This paper illustrates models that incorporate multiple indicators of each scale. The advantaot) of their application are discussed. A three-page list o.. references and the description of the models, mentioned in the text, supplement the paper. (Author/JAZ)

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“…The chi-square value (χ 2 ) of 739.32 (df = 240, p < .001) was obtained, which indicates the goodness-of-fit. Furthermore, the χ 2 /df ratio was 3.081, which increases the acceptability of the model as it is within the acceptable range of 2 to 5 (Marsh & Hocevar, 1988). The other fit parameters of comparative fit index (CFI = .99) and normed fit index (NFI = .98) as well as the root mean square of approximation (RMSEA = .073) enhance the reliability of the model as they are below their acceptable levels (Byrne, 2010).…”

The Reliability and Validity of “Dokuz Eylül University Meniere’s Disease Disability Scale”

“…The new 32-item version of the DEU-MDDS was analyzed by exploratory factorial analysis again; it was shown that the DEU-MDDS had a two-componential factorial loading structure ( Table 3). [21][22][23][24] . The statistics on compliance of confirmatory factor analysis of the DEU-MDDS are given in Table 4.…”

Üstbiliş, Özyeterlilik ve Öğrenme Süreçleri Ölçeğinin Türkçeye Uyarlanma Çalışması: Doğrulayıcı Faktör Analizi Sonuçları

“…This value describes excellent conformity when it has a value lower than three and it signs middle level conformity when it is lower than five (Marsh & Hocevar, 1988 …”

“…Özyeterlilik ve üstbiliş kavramlarının öğrencinin akademik başarısından, kaygı düzeyine birçok değişken üzerinde etkili olmasından dolayı eğitim alanında bu iki kavrama yönelik özellikle yurtdışında birçok araştırmaya rastlamak mümkündür (Bransford, Brown, & Cocking, 1999;Garcia & Pintrich, 1994;Klomegah, 2007;Multon, Brown, & Lent, 1991;White & Frederiksen, 1998  /sd oranının 3'ün altında olması yeterli uyum olarak kabul edilebilir (Şencan, 2005 Tablo 4 incelendiğinde t değerlerinin 2.576'nın üzerinde olduğu görülmektedir. Bu sebeple t-değerlerinin 0.01 düzeyinde tüm maddeler için anlamlı olduğu söylenebilir (Şimşek, 2007 Locke & Latham, 1990;White & Gunstone, 1989 Bu oranın 3'ten küçük olması mükemmel uyuma, 5'ten küçük olması ise orta düzeyde uyuma işaret etmektedir (Marsh & Hocevar, 1988). GFI ve AGFI değerleri ise sırası ile 0.92 ve 0.91 olarak belirlenmiştir.…”