January 2006
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1,474 Reads
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39 Citations
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January 2006
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1,474 Reads
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39 Citations
August 1996
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26 Reads
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7 Citations
Journal of Marketing Research
January 1993
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211 Reads
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7,261 Citations
August 1990
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12 Reads
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58 Citations
Journal of Marketing Research
January 1989
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191 Reads
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3,335 Citations
November 1987
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12 Reads
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21 Citations
Journal of Marketing Research
November 1982
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76 Reads
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712 Citations
Journal of Marketing Research
The authors describe new developments in structural equation modeling as incorporated in LISREL V. The procedures are illustrated on data from three previous studies.
January 1981
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33 Reads
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228 Citations
Scandinavian Journal of Economics
February 1980
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67 Reads
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683 Citations
Journal of Marketing Research
299 Reads
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148 Citations
... T value being greater than 1.96 is an indication of .05 significance, if it is greater than 2.58, it means there is significance at .01 level (Jöreskog & Sörbom, 2000;Kline, 2011). When this information is taken into account, we see that all the t values of CFA are significant at .01 level. ...
November 1987
Journal of Marketing Research
... In this study, the LGCM was fit to data using Mplus (version 7.1) with a robust maximum likelihood estimator. Four model fit indexes were applied to evaluate the adequacy of model fit [24]: (a) chi-square statistics [20], (b) the Bentler Comparative Fit Index (i.e., CFI ≥ 0.9 [3,5];, and (c) root mean square error of approximation (i.e., RMSEA ≤0.05) with 90% confidence interval [45]. Significant chi-square difference (∆χ 2 ) tests, which were used to determine significant differences between constrained and unconstrained models, indicated determinants that showed significantly different influences on men's and women's disability trends [36]. ...
January 1981
Scandinavian Journal of Economics
... We assumed that the environmental factors could affect both phytoplankton and zooplankton, and that phytoplankton and zooplankton could affect each other reciprocally. Lastly, we used LISREL 8 [21] to verify the model. Detailed assumptions and the concept of SEM are explained in [6,22,23]. ...
August 1996
Journal of Marketing Research
... 20 GFI >0.90. 21 and TLI >0.90. 22 Factor loadings greater than 0.50 reflect that items are good indicators of associated latent factor. ...
February 1980
Journal of Marketing Research
... It is also worth mentioning that this approach enhances the validity of our findings since our sample naturally aligns with the social media environment that is focal to our study. Following the guidelines of ten respondents per item proposed by Jöreskog and Sörbom (1982), we initially aimed for a sample size of 240 followers of SMIs on social media. However, we ultimately increased our sample size to 285 participants, which may thus strengthen the reliability of our study results. ...
November 1982
Journal of Marketing Research
... These procedures made it possible to eliminate respondents who had not read the questions and remove those providing repetitive answers (straight lines) from the final sample (Sparrow 2007). Ultimately, 430 valid questionnaires were retained for the study, which exceeded the suggested 5:1 ratio of a sample size to the number of free parameters (Bentler 1989) as well as the rule of thumb of 10 observations per indicator for assessing the adequacy of sample sizes (Westland 2010). ...
August 1990
Journal of Marketing Research
... Dalam sampel kami yang terdiri dari 327 perusahaan dengan 76 indikator. Oleh karena itu, kami menyederhanakan dimensi variabel dengan melakukan parseling Rhemtulla, (2016) dan menggunakan skoring variabel laten (Jöreskog, Sörbom, & Wallentin, 2006), di mana model analisis konfirmatori orde kedua diubah menjadi model analisis konfirmatori orde pertama. Parseling mengurangi jumlah indikator menjadi 17. ...
January 2006
... We estimated the CFA model with the R lavaan package [28] treating the seven items of AQoLS-Brief as ordinal variables [29]). It uses the diagonally weighted least squares method for the estimation which is encouraged when the sample is small and data violates normality [30]. To assess the fit of the CFA model, the chi-square test, root mean square error of approximation, standardized root mean square residual, Tucker-Lewis Index, and Comparative Fit Index were examined. ...
January 1989
... The fit indices showed a good fit with χ 2 /df = 2.187; RMR = 0.067; GFI = 0.851; AGFI = 0.824; NNFI = 0.909; CFI = 0.917; RMSEA = 0.058. The acceptable value for the fitness of the model can also be less than 0.9 for GFI, AGFI (Jöreskog & Sörbom, 1993), and the value for CFI can be less than 0.95 (Hu & Bentler, 1999). Hence, the model shows good fit. ...
January 1993
... A validity test was conducted using confirmatory factor analysis to obtain a measurement model comprising six variables, as shown in Table 3. The model fit was evaluated based on three criteria, namely absolute (Browne & Cudeck, 1992;Joreskog & Sorbom, 1984), incremental (Bollen, 1989;Hu & Bentler, 1999), and parsimonious fits (Marsh & Hocevar, 1985). The initial instrument used was the same for both measurements conducted in Jakarta and Islamabad. ...