Improving measurement invariance assessments in survey research with missing data by novel artificial neural networks

Expert Systems with Applications

Volumn 39, Issue 12, 2012, Pages 10456-10464

  Tsai, Liang Ting ^a   Yang, Chih Chien ^a  

^a NATIONAL TAICHUNG UNIVERSITY OF EDUCATION   (Taiwan)

Author keywords

Artificial neural networks; LVQ ESW; Measurement invariance; Missing at random; Sampling weights

Indexed keywords

COMPUTERIZED SIMULATION; CONFIRMATORY FACTOR ANALYSIS; GROUP MEMBERSHIPS; LARGE SCALE TESTING; LEARNING VECTOR QUANTIZATION; LVQ-ESW; MISSING AT RANDOMS; MISSING DATA; MISSING INFORMATION; MULTIPLE-GROUP; STRATIFIED SAMPLING; SURVEY DATA; SURVEY RESEARCH;

FACTOR ANALYSIS; INTERPOLATION; NEURAL NETWORKS; VECTOR QUANTIZATION;

SURVEYS;

EID: 84861190394     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2012.02.048     Document Type: Article

References (33)

1. D.J. Baure The role of nonlinear factor-to-indicator relationships in test of measurement equivalence Psychological Method 10 3 2005 305 316
2. C.R. Chen, L.T. Tsai, and C.C. Yang Supervised learning vector quantization for projecting missing weights of hierarchical neural networks WSEAS Transactions on Information Science and Applications 6 7 2010 799 808
3. C.K. Ender, and D.L. Bandalos The relative performance of full information maximum likelihood estimation for missing data in structural equation models Structural Equation Modeling 8 3 2001 430 457
4. C.K. Ender, and J.L. Peugh Using an EM covariance matrix to estimate structural equation models with missing data: choosing an adjusted sample size to improve the accuracy of inferences Structural Equation Modeling 11 1 2004 1 19
5. o. Er, N. Yumusak, and F. Temurtas Chest diseases diagnosis using artificial neural networks Expert Systems with Applications 37 12 2010 7648 7655
6. H. Finch The MIMIC model as a method for detecting DIF: Comparison with Mantel-Haenszel, SIBTEST, and the IRT likelihood ratio Applied Psychological Measurement 29 4 2005 278 295
7. G.A. Khuwaja, and A.N. Abu-Rezq Data acquisition and recognition of fingerprints with LVQ International Journal of Computational Intelligence & Application 3 1 2003 65 88
8. R.J.A. Little, and D.B. Rubin Statistical analysis with missing data 1987 John Wiley New York
9. R.J.A. Little, and N. Schenker Missing data G. Arminger, C.C. Clogg, M.E. Sobel, Handbook of statistical modeling for the social and behavioral sciences 1994 Plenum New York 39 75
10. J. Liu, B. Zuo, X. Zeng, P. Vroman, and B. Rabenasolo Nonwoven uniformity identification using wavelet texture analysis and LVQ neural network Expert Systems with Applications 37 3 2010 2214 2246
11. S. Lohr Sampling: Design and analysis 2nd ed. 2010 Duxbury Press Pacific Grove, CA
12. J. Luengo, S. García, and F. Herrera A study on the use of statistical tests for experimentation with neural networks: Analysis of parametric test conditions and non-parametric tests Expert Systems with Applications 36 4 2009 7798 7808
13. R.P. MacDonald Test theory: A unified perspective 1999 Erlbaum Mahwah, NJ
14. M.O. Martin TIMSS 2003 user guide for the international database 2004 Boston College Chestnut Hill, MA
15. A.M. Meade, E.C. Johnson, and P.W. Braddly Power and sensitivity of alternative fit indices in tests of measurement invariance Journal of Applied Psychology 93 3 2008 568 592
16. A.W. Meade, and G.J. Lautenschlager A Monte-Carlo study of confirmatory factor analytic tests of measurement equivalence/invariance Structural Equation Modeling 11 1 2004 60 72
17. W. Meredith Measurement invariance, factor analysis, and factorial invariance Psychometrika 58 4 1993 525 543
18. R.E. Millsap, and O.M. Kwok Evaluating the impact of partial factorial invariance on selection in two populations Psychological Methods 9 1 2004 93 115
19. Muthén, L. K.; Muthén, B. O. (1998-2006). Mplus user's guide (4th ed.). Los Angeles, CA: Muthén & Muthén.
20. OECD (2005). PISA 2003 technical report. Paris: OECD.
21. F.J. Oort Simulation study of item bias detection with restricted factor analysis Structural Equation Modeling 5 2 1998 107 124
22. N.S. Raju, L.J. Laffitte, and B.M. Byrne Measurement equivalence. A comparison of methods based on confirmatory factor analysis and item response theory Journal of Applied Psychology 87 3 2002 517 529
23. S.P. Reise, K.F. Widaman, and R.H. Pugh Confirmatory factor analysis and item response theory: Two approaches for exploring measurement invariance Psychological Bulletin 114 3 1993 552 566
24. S. Sagiroglu, and D.T. Pham Neural network classification of defects in vector boards Journal of Process Mechanical Engineering Part B 214 3 2000 255 258
25. A. Satorra, and P.M. Bentler A scaled difference chi-square test statistic for moment structure analysis Psychometrika 66 4 2001 507 514
26. C.T. Su, and C.J. Chou A neural network-based approach for statistical probability distribution recognition Quality Engineering 18 2006 293 297
27. L.T. Tsai, and C.C. Yang A simulation study on classified accuracy for learning vector quantization Journal of Research on Measurement & Statistics 12 2004 269 291
28. R.J. Vandenberg, and C.E. Lance A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research Organizational Research Methods 3 1 2000 4 69
29. H. White Some asymptotic results for learning in single hidden layer feedforward network models Journal of the American Statistical Associate 84 408 1989 1003 1013
30. C.M. Woods Evaluation of MIMIC-model methods for DIF testing with comparison to two-group analysis Multivariate Behavioral Research 44 1 2009 1 27
31. Yang, C. C.; Tsai, L. T. (2007). Weighting effects of stratified sampling procedures on the accuracy of DIF identifications. In Seventy-fourth international meeting of the psychometric society.
32. C.C. Yang, and L.T. Tsai Inferring measurement equivalence between Likert-type questionnaires under effects of sampling weights Chinese Journal of Psychology 50 3 2008 257 269
33. M.S. Yang, and J.H. Yang A fuzzy-soft learning vector quantization for control chart pattern recognition International Journal of Production Research 40 12 2002 2721 2731