Dag Sorbom’s research while affiliated with Hillsdale College and other places

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Publications (10)


Latent Variable Scores and Observational Residuals
  • Article
  • Full-text available

January 2006

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1,474 Reads

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39 Citations

Karl G Joreskog

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Dag Sorbom

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Recent Developments in Structural Equation Modeling

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.




Citations (10)


... 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. ...

Reference:

The psychometric properties of school belonging scale for primary school students: a validity and reliability study
LISREL-PC and PRELIS [Computer Software]
  • Citing Article
  • 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]. ...

Advances in Factor Analysis and Structural Models
  • Citing Article
  • 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]. ...

LISREL 8 with PRELIS2 for Windows
  • Citing Article
  • August 1996

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. ...

Recent Developments in Structural Equation Modeling
  • Citing Article
  • 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). ...

EQS: Structural Equations Program, Version 3.0
  • Citing Article
  • 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. ...

Latent Variable Scores and Observational Residuals

... 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. ...

LISREL 7: A guide to the program and applications
  • Citing Article
  • 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. ...

LISREL 8: Structural equation modeling with the SIMPL1S command language
  • Citing Book
  • 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. ...

Advances in factor analysis and structural equation models / Karl G. Joreskog, Dag Sorbom
  • Citing Article