1995
DOI: 10.1080/10705519509540000
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Effects of estimation methods, number of indicators per factor, and improper solutions on structural equation modeling fit indices

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Cited by 628 publications
(397 citation statements)
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References 29 publications
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“…A AFC (AMOS 16.0) foi utilizada para testar os modelos propostos na literatura, utilizando-se o método de estimação maximuum likelihood e respeitando-se um número mínimo de 10 observações por item (Ding, Velicer, & Harlow, 1995). Após a especificação e estimação do modelo, a sua adequação foi avaliada por um conjunto de índices de ajustamento/adequação.…”
Section: Análise Estatísticaunclassified
“…A AFC (AMOS 16.0) foi utilizada para testar os modelos propostos na literatura, utilizando-se o método de estimação maximuum likelihood e respeitando-se um número mínimo de 10 observações por item (Ding, Velicer, & Harlow, 1995). Após a especificação e estimação do modelo, a sua adequação foi avaliada por um conjunto de índices de ajustamento/adequação.…”
Section: Análise Estatísticaunclassified
“…At the 5% level of significance, the value of Hoelter's index for our model amounts to 121, which is satisfyingly close to the value of 118, the number of respondents in our sample. The appropriateness of the sample size is also in accordance with Ding et al (1995) recommendation.…”
Section: Model Identificationmentioning
confidence: 89%
“…One of the most commonly used methods in SEM is the Maximum Likelihood Estimation (MLE). In order to use MLE appropriately, Ding et al (1995) recommend a minimum sample size ranging between 100 and 150 respondents. In addition, Hoelter's critical N is often used as a standard sample size that would make the obtained fit significant.…”
Section: Model Identificationmentioning
confidence: 99%
“…The structural equation models integrate a measurement model and a structural model (Iacobucci, 2008). Since 100-150 participants are sufficient to conduct structural equation modeling (Ding et al, 1995), the number of participants (n = 179) in this study is suitable for the use of SEM. Table 1 shows the means, standard deviations, Cronbach alpha values of the variables in the model and correlation coefficients between these variables.…”
Section: Discussionmentioning
confidence: 99%