-
1
-
-
70449569093
-
Exploratory structural equation modeling
-
Asparouhov, T., & Muthén, B. (2009). Exploratory structural equation modeling. Structural Equation Modeling, 16, 397-438. http://dx.doi .org/10.1080/10705510903008204
-
(2009)
Structural Equation Modeling
, vol.16
, pp. 397-438
-
-
Asparouhov, T.1
Muthén, B.2
-
2
-
-
85028145111
-
Using exploratory factor analysis to determine the dimensionality of discrete responses
-
Barendse, M. T., Oort, F. J., & Timmerman, M. E. (2015). Using exploratory factor analysis to determine the dimensionality of discrete responses. Structural Equation Modeling, 22, 87-101. http://dx.doi.org/10.1080/10705511.2014.934850
-
(2015)
Structural Equation Modeling
, vol.22
, pp. 87-101
-
-
Barendse, M.T.1
Oort, F.J.2
Timmerman, M.E.3
-
3
-
-
33744523182
-
On the performance of maximum likelihood versus means and variance adjusted weighted least squares estimation in CFA
-
Beauducel, A., & Herzberg, P. Y. (2006). On the performance of maximum likelihood versus means and variance adjusted weighted least squares estimation in CFA. Structural Equation Modeling, 13, 186-203. http://dx.doi.org/10.1207/s15328007sem1302_2
-
(2006)
Structural Equation Modeling
, vol.13
, pp. 186-203
-
-
Beauducel, A.1
Herzberg, P.Y.2
-
4
-
-
84965455705
-
Alternative ways of assessing model fit
-
Browne, M. W., & Cudeck, R. (1992). Alternative ways of assessing model fit. Sociological Methods & Research, 21, 230-258. http://dx.doi.org/ 10.1177/0049124192021002005
-
(1992)
Sociological Methods & Research
, vol.21
, pp. 230-258
-
-
Browne, M.W.1
Cudeck, R.2
-
5
-
-
85047671849
-
When fit indices and residuals are incompatible
-
Browne, M. W., MacCallum, R. C., Kim, C. T., Andersen, B. L., & Glaser, R. (2002). When fit indices and residuals are incompatible. Psychological Methods, 7, 403-421. http://dx.doi.org/10.1037/1082-989X.7.4.403
-
(2002)
Psychological Methods
, vol.7
, pp. 403-421
-
-
Browne, M.W.1
MacCallum, R.C.2
Kim, C.T.3
Andersen, B.L.4
Glaser, R.5
-
6
-
-
4544387484
-
Psychometric evaluation of the behavioral inhibition/behavioral activation scales in a large sample of outpatients with anxiety and mood disorders
-
Campbell-Sills, L., Liverant, G. I., & Brown, T. A. (2004). Psychometric evaluation of the behavioral inhibition/behavioral activation scales in a large sample of outpatients with anxiety and mood disorders. Psychological Assessment, 16, 244-254. http://dx.doi.org/10.1037/1040-3590.16.3.244
-
(2004)
Psychological Assessment
, vol.16
, pp. 244-254
-
-
Campbell-Sills, L.1
Liverant, G.I.2
Brown, T.A.3
-
7
-
-
42549141146
-
An empirical evaluation of the use of fixed cutoff points in RMSEA test statistic in structural equation models
-
Chen, F., Curran, P. J., Bollen, K. A., Kirby, J., & Paxton, P. (2008). An empirical evaluation of the use of fixed cutoff points in RMSEA test statistic in structural equation models. Sociological Methods & Research, 36, 462-494. http://dx.doi.org/10.1177/0049124108314720
-
(2008)
Sociological Methods & Research
, vol.36
, pp. 462-494
-
-
Chen, F.1
Curran, P.J.2
Bollen, K.A.3
Kirby, J.4
Paxton, P.5
-
8
-
-
70350127949
-
Accuracy of the parallel analysis procedure with polychoric correlations
-
Cho, S.-J., Li, F., & Bandalos, D. (2009). Accuracy of the parallel analysis procedure with polychoric correlations. Educational and Psychological Measurement, 69, 748 -759. http://dx.doi.org/10.1177/ 0013164409332229
-
(2009)
Educational and Psychological Measurement
, vol.69
, pp. 748 -759
-
-
Cho, S.-J.1
Li, F.2
Bandalos, D.3
-
10
-
-
0036321402
-
The noncentral chi-square distribution in misspecified structural equation models: Finite sample results from a Monte Carlo simulation
-
Curran, P. J., Bollen, K. A., Paxton, P., Kirby, J., & Chen, F. (2002). The noncentral chi-square distribution in misspecified structural equation models: Finite sample results from a Monte Carlo simulation. Multivariate Behavioral Research, 37, 1-36. http://dx.doi.org/10.1207/S15327906MBR3701_01
-
(2002)
Multivariate Behavioral Research
, vol.37
, pp. 1-36
-
-
Curran, P.J.1
Bollen, K.A.2
Paxton, P.3
Kirby, J.4
Chen, F.5
-
11
-
-
29744437033
-
Unrestricted versus restricted factor analysis of multidimensional test items: Some aspects of the problem and some suggestions
-
Ferrando, P. J., & Lorenzo-Seva, U. (2000). Unrestricted versus restricted factor analysis of multidimensional test items: Some aspects of the problem and some suggestions. Psicológica, 21, 301-323.
-
(2000)
Psicológica
, vol.21
, pp. 301-323
-
-
Ferrando, P.J.1
Lorenzo-Seva, U.2
-
12
-
-
10844245499
-
An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data
-
Flora, D. B., & Curran, P. J. (2004). An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psychological Methods, 9, 466-491. http://dx.doi.org/10.1037/1082-989X.9.4.466
-
(2004)
Psychological Methods
, vol.9
, pp. 466-491
-
-
Flora, D.B.1
Curran, P.J.2
-
13
-
-
0029134625
-
Factor analysis in the development and refinement of clinical assessment instruments
-
Floyd, F. J., & Widaman, K. F. (1995). Factor analysis in the development and refinement of clinical assessment instruments. Psychological Assessment, 7, 286-299. http://dx.doi.org/10.1037/1040-3590.7.3.286
-
(1995)
Psychological Assessment
, vol.7
, pp. 286-299
-
-
Floyd, F.J.1
Widaman, K.F.2
-
14
-
-
78650468393
-
Factor analysis with ordinal indicators: A Monte Carlo study comparing DWLS and ULS estimation
-
Forero, C., Maydeu-Olivares, A., & Gallardo-Pujol, D. (2009). Factor analysis with ordinal indicators: A Monte Carlo study comparing DWLS and ULS estimation. Structural Equation Modeling, 16, 625-641. http://dx.doi.org/10.1080/10705510903203573
-
(2009)
Structural Equation Modeling
, vol.16
, pp. 625-641
-
-
Forero, C.1
Maydeu-Olivares, A.2
Gallardo-Pujol, D.3
-
15
-
-
33846858866
-
Historical increase in the number of factors measured by commercial tests of cognitive ability:Are we overfactoring?
-
Frazier, T. W., & Youngstrom, E. A. (2007). Historical increase in the number of factors measured by commercial tests of cognitive ability:Are we overfactoring? Intelligence, 35, 169-182. http://dx.doi.org/10.1016/j.intell.2006.07.002
-
(2007)
Intelligence
, vol.35
, pp. 169-182
-
-
Frazier, T.W.1
Youngstrom, E.A.2
-
16
-
-
79955563792
-
Performance of Velicer's minimum average partial factor retention method with categorical vari-ables
-
Garrido, L. E., Abad, F. J., & Ponsoda, V. (2011). Performance of Velicer's minimum average partial factor retention method with categorical vari-ables. Educational and Psychological Measurement, 71, 551-570. http://dx.doi.org/10.1177/0013164410389489
-
(2011)
Educational and Psychological Measurement
, vol.71
, pp. 551-570
-
-
Garrido, L.E.1
Abad, F.J.2
Ponsoda, V.3
-
17
-
-
84892456989
-
A new look at Horn's parallel analysis with ordinal variables
-
Garrido, L. E., Abad, F. J., & Ponsoda, V. (2013). A new look at Horn's parallel analysis with ordinal variables. Psychological Methods, 18, 454-474. http://dx.doi.org/10.1037/a0030005
-
(2013)
Psychological Methods
, vol.18
, pp. 454-474
-
-
Garrido, L.E.1
Abad, F.J.2
Ponsoda, V.3
-
19
-
-
80052841094
-
Masking misfit in confirmatory factor analysis by increasing unique variances: A cautionary note on the usefulness of cutoff values of fit indices
-
Heene, M., Hilbert, S., Draxler, C., Ziegler, M., & Bühner, M. (2011). Masking misfit in confirmatory factor analysis by increasing unique variances: A cautionary note on the usefulness of cutoff values of fit indices. Psychological Methods, 16, 319-336. http://dx.doi.org/10.1037/a0024917
-
(2011)
Psychological Methods
, vol.16
, pp. 319-336
-
-
Heene, M.1
Hilbert, S.2
Draxler, C.3
Ziegler, M.4
Bühner, M.5
-
20
-
-
33646503263
-
Use of exploratory factor analysis in published research: Common errors and some comment on improved practice
-
Henson, R. K., & Roberts, J. K. (2006). Use of exploratory factor analysis in published research: Common errors and some comment on improved practice. Educational and Psychological Measurement, 66, 393-416. http://dx.doi.org/10.1177/0013164405282485
-
(2006)
Educational and Psychological Measurement
, vol.66
, pp. 393-416
-
-
Henson, R.K.1
Roberts, J.K.2
-
21
-
-
34548066774
-
The model-size effect on traditional and modified tests of covariance structures
-
Herzog, W., Boomsma, A., & Reinecke, S. (2007). The model-size effect on traditional and modified tests of covariance structures. Structural Equation Modeling, 14, 361-390. http://dx.doi.org/10.1080/ 10705510701301602
-
(2007)
Structural Equation Modeling
, vol.14
, pp. 361-390
-
-
Herzog, W.1
Boomsma, A.2
Reinecke, S.3
-
22
-
-
8644267207
-
A rationale and test for the number of factors in factor analysis
-
Horn, J. L. (1965). A rationale and test for the number of factors in factor analysis. Psychometrika, 30, 179 -185. http://dx.doi.org/10.1007/BF02289447
-
(1965)
Psychometrika
, vol.30
, pp. 179 -185
-
-
Horn, J.L.1
-
23
-
-
0032262444
-
Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification
-
Hu, L., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 3, 424-453. http://dx.doi.org/10.1037/1082-989X.3.4.424
-
(1998)
Psychological Methods
, vol.3
, pp. 424-453
-
-
Hu, L.1
Bentler, P.M.2
-
24
-
-
67650706330
-
Cutoff criteria for fit indices in covariance structure analysis: Conventional criteria versus new alternatives
-
Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indices in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1-55. http://dx.doi.org/10.1080/ 10705519909540118
-
(1999)
Structural Equation Modeling
, vol.6
, pp. 1-55
-
-
Hu, L.1
Bentler, P.M.2
-
25
-
-
0035540910
-
Factor analysis of ordinal variables:A comparison of three approaches
-
Jöreskog, K. G., & Moustaki, I. (2001). Factor analysis of ordinal variables:A comparison of three approaches. Multivariate Behavioral Research, 36, 347-387. http://dx.doi.org/10.1207/S15327906347-387
-
(2001)
Multivariate Behavioral Research
, vol.36
, pp. 347-387
-
-
Jöreskog, K.G.1
Moustaki, I.2
-
26
-
-
84976998771
-
The application of electronic computers to factor analysis
-
Kaiser, H. F. (1960). The application of electronic computers to factor analysis. Educational and Psychological Measurement, 20, 141-151. http://dx.doi.org/10.1177/001316446002000116
-
(1960)
Educational and Psychological Measurement
, vol.20
, pp. 141-151
-
-
Kaiser, H.F.1
-
27
-
-
33947414695
-
Effect of the number of variables on measures of fit in structural equation modeling
-
Kenny, D. A., & McCoach, D. B. (2003). Effect of the number of variables on measures of fit in structural equation modeling. Structural Equation Modeling, 10, 333-351. http://dx.doi.org/10.1207/S15328007SEM1003_1
-
(2003)
Structural Equation Modeling
, vol.10
, pp. 333-351
-
-
Kenny, D.A.1
McCoach, D.B.2
-
28
-
-
64749097255
-
Evaluating estimation methods for ordinal data in structural equation modeling
-
Lei, P. W. (2009). Evaluating estimation methods for ordinal data in structural equation modeling. Quality & Quantity: International Journal of Methodology, 43, 495-507. http://dx.doi.org/10.1007/s11135-007-9133-z
-
(2009)
Quality & Quantity: International Journal of Methodology
, vol.43
, pp. 495-507
-
-
Lei, P.W.1
-
29
-
-
0024521543
-
A concordance correlation coefficient to evaluate reproducibility
-
Lin, L. I. (1989). A concordance correlation coefficient to evaluate reproducibility. Biometrics, 45, 255-268. http://dx.doi.org/10.2307/2532051
-
(1989)
Biometrics
, vol.45
, pp. 255-268
-
-
Lin, L.I.1
-
30
-
-
79957612684
-
The Hull method for selecting the number of common factors
-
Lorenzo-Seva, U., Timmerman, M. E., & Kiers, H. A. L. (2011). The Hull method for selecting the number of common factors. Multivariate Behavioral Research, 46, 340-364. http://dx.doi.org/10.1080/00273171.2011.564527
-
(2011)
Multivariate Behavioral Research
, vol.46
, pp. 340-364
-
-
Lorenzo-Seva, U.1
Timmerman, M.E.2
Kiers, H.A.L.3
-
32
-
-
0032221781
-
Is more ever too much? The number of indicators per factor in confirmatory factor analysis
-
Marsh, H. W., Hau, K. T., Balla, J. R., & Grayson, D. (1998). Is more ever too much? The number of indicators per factor in confirmatory factor analysis. Multivariate Behavioral Research, 33, 181-220. http://dx.doi .org/10.1207/s15327906mbr3302_1
-
(1998)
Multivariate Behavioral Research
, vol.33
, pp. 181-220
-
-
Marsh, H.W.1
Hau, K.T.2
Balla, J.R.3
Grayson, D.4
-
33
-
-
3042808205
-
In search of golden rules:Comment on hypothesis testing approaches to setting cutoff values for fit indexes and dangers in overgeneralizing Hu and Bentler's (1999) findings
-
Marsh, H. W., Hau, K. T., & Wen, Z. (2004). In search of golden rules:Comment on hypothesis testing approaches to setting cutoff values for fit indexes and dangers in overgeneralizing Hu and Bentler's (1999) findings. Structural Equation Modeling, 11, 320-341. http://dx.doi.org/ 10.1207/s15328007sem1103_2
-
(2004)
Structural Equation Modeling
, vol.11
, pp. 320-341
-
-
Marsh, H.W.1
Hau, K.T.2
Wen, Z.3
-
34
-
-
70449592059
-
Exploratory structural equation modeling, integrating CFA and EFA: Application to students' evaluations of university teaching
-
Marsh, H. W., Muthén, B., Asparouhov, T., Lüdtke, O., Robitzsch, A., Morin, A. J. S., & Trautwein, U. (2009). Exploratory structural equation modeling, integrating CFA and EFA: Application to students' evaluations of university teaching. Structural Equation Modeling, 16, 439-476. http://dx.doi.org/10.1080/10705510903008220
-
(2009)
Structural Equation Modeling
, vol.16
, pp. 439-476
-
-
Marsh, H.W.1
Muthén, B.2
Asparouhov, T.3
Lüdtke, O.4
Robitzsch, A.5
Morin, A.J.S.6
Trautwein, U.7
-
36
-
-
8744245692
-
-
Thousand Oaks, CA: Sage.
-
Meyers, L. S., Gamst, G., & Guarino, A. (2006). Applied multivariate research: Design and interpretation. Thousand Oaks, CA: Sage.
-
(2006)
Applied multivariate research: Design and interpretation
-
-
Meyers, L.S.1
Gamst, G.2
Guarino, A.3
-
37
-
-
84879525026
-
Construct validity of Likert scales through confirmatory factor analysis: A simulation study comparing different methods of estimation based on Pearson and polychoric correlations
-
Morata-Ramírez, M. A., & Holgado-Tello, F. P. (2013). Construct validity of Likert scales through confirmatory factor analysis: A simulation study comparing different methods of estimation based on Pearson and polychoric correlations. International Journal of Social Science Studies, 1, 54-61. http://dx.doi.org/10.11114/ijsss.v1i1.27
-
(2013)
International Journal of Social Science Studies
, vol.1
, pp. 54-61
-
-
Morata-Ramírez, M.A.1
Holgado-Tello, F.P.2
-
38
-
-
0011169760
-
Doing the four-step right
-
Mulaik, S. A., & Millsap, R. E. (2000). Doing the four-step right. Structural Equation Modeling, 7, 36 -73. http://dx.doi.org/10.1207/S15328007SEM0701_02
-
(2000)
Structural Equation Modeling
, vol.7
, pp. 36 -73
-
-
Mulaik, S.A.1
Millsap, R.E.2
-
39
-
-
34250282002
-
Contributions to factor analysis of dichotomous variables
-
Muthén, B. (1978). Contributions to factor analysis of dichotomous variables. Psychometrika, 43, 551-560. http://dx.doi.org/10.1007/BF02293813
-
(1978)
Psychometrika
, vol.43
, pp. 551-560
-
-
Muthén, B.1
-
41
-
-
85004907578
-
A comparison of some methodologies for the factor analysis of non-normal Likert variables
-
Muthén, B., & Kaplan, D. (1985). A comparison of some methodologies for the factor analysis of non-normal Likert variables. British Journal of Mathematical and Statistical Psychology, 38, 171-189. http://dx.doi .org/10.1111/j.2044-8317.1985.tb00832.x
-
(1985)
British Journal of Mathematical and Statistical Psychology
, vol.38
, pp. 171-189
-
-
Muthén, B.1
Kaplan, D.2
-
42
-
-
0345040656
-
How to use a Monte Carlo study to decide on sample size and determine power
-
Muthén, L. K., & Muthén, B. O. (2002). How to use a Monte Carlo study to decide on sample size and determine power. Structural Equation Modeling, 9, 599-620. http://dx.doi.org/10.1207/S15328007SEM0904_8
-
(2002)
Structural Equation Modeling
, vol.9
, pp. 599-620
-
-
Muthén, L.K.1
Muthén, B.O.2
-
44
-
-
84878840512
-
Coaching competency and (exploratory) structural equation modeling: A substantive-methodological synergy
-
Myers, N. D. (2013). Coaching competency and (exploratory) structural equation modeling: A substantive-methodological synergy. Psychology of Sport and Exercise, 14, 709-718. http://dx.doi.org/10.1016/j .psychsport.2013.04.008
-
(2013)
Psychology of Sport and Exercise
, vol.14
, pp. 709-718
-
-
Myers, N.D.1
-
45
-
-
84872590776
-
A Monte Carlo study comparing PIV, ULS and DWLS in the estimation of dichotomous confirmatory factor analysis
-
Nestler, S. (2013). A Monte Carlo study comparing PIV, ULS and DWLS in the estimation of dichotomous confirmatory factor analysis. British Journal of Mathematical and Statistical Psychology, 66, 127-143. http://dx.doi.org/10.1111/j.2044-8317.2012.02044.x
-
(2013)
British Journal of Mathematical and Statistical Psychology
, vol.66
, pp. 127-143
-
-
Nestler, S.1
-
46
-
-
79957817035
-
Assessing goodness of fit: Simple rules of thumb simply do not work
-
Nye, C. D., & Drasgow, F. (2011). Assessing goodness of fit: Simple rules of thumb simply do not work. Organizational Research Methods, 14, 548-570. http://dx.doi.org/10.1177/1094428110368562
-
(2011)
Organizational Research Methods
, vol.14
, pp. 548-570
-
-
Nye, C.D.1
Drasgow, F.2
-
47
-
-
0000541399
-
Maximum likelihood estimation of the polychoric correlation coefficient
-
Olsson, U. (1979). Maximum likelihood estimation of the polychoric correlation coefficient. Psychometrika, 44, 443-460. http://dx.doi.org/ 10.1007/BF02296207
-
(1979)
Psychometrika
, vol.44
, pp. 443-460
-
-
Olsson, U.1
-
48
-
-
37549027964
-
Efficient theory development and factor retention criteria: Abandon the "eigenvalue greater than one" criterion
-
Patil, V. H., Singh, S. N., Mishra, S., & Donavan, D. T. (2008). Efficient theory development and factor retention criteria: Abandon the "eigenvalue greater than one" criterion. Journal of Business Research, 61, 162-170. http://dx.doi.org/10.1016/j.jbusres.2007.05.008
-
(2008)
Journal of Business Research
, vol.61
, pp. 162-170
-
-
Patil, V.H.1
Singh, S.N.2
Mishra, S.3
Donavan, D.T.4
-
49
-
-
84875915032
-
Choosing the optimal number of factors in exploratory factor analysis: A model selection perspective
-
Preacher, K. J., Zhang, G., Kim, C., & Mels, G. (2013). Choosing the optimal number of factors in exploratory factor analysis: A model selection perspective. Multivariate Behavioral Research, 48, 28-56. http://dx.doi.org/10.1080/00273171.2012.710386
-
(2013)
Multivariate Behavioral Research
, vol.48
, pp. 28-56
-
-
Preacher, K.J.1
Zhang, G.2
Kim, C.3
Mels, G.4
-
50
-
-
84873019824
-
When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions
-
Rhemtulla, M., Brosseau-Liard, P. E., & Savalei, V. (2012). When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions. Psychological Methods, 17, 354-373. http://dx.doi.org/10.1037/a0029315
-
(2012)
Psychological Methods
, vol.17
, pp. 354-373
-
-
Rhemtulla, M.1
Brosseau-Liard, P.E.2
Savalei, V.3
-
52
-
-
70249105715
-
The Strengths and Difficulties Questionnaire in the Bergen Child Study:A conceptually and methodically motivated structural analysis
-
Sanne, B., Torsheim, T., Heiervang, E., & Stormark, K. M. (2009). The Strengths and Difficulties Questionnaire in the Bergen Child Study:A conceptually and methodically motivated structural analysis. Psychological Assessment, 21, 352-364. http://dx.doi.org/10.1037/a0016317
-
(2009)
Psychological Assessment
, vol.21
, pp. 352-364
-
-
Sanne, B.1
Torsheim, T.2
Heiervang, E.3
Stormark, K.M.4
-
53
-
-
77953915319
-
Testing structural equation models or detection of misspecifications?
-
Saris, W. E., Satorra, A., & van der Veld, W. M. (2009). Testing structural equation models or detection of misspecifications? Structural Equation Modeling, 16, 561-582. http://dx.doi.org/10.1080/ 10705510903203433
-
(2009)
Structural Equation Modeling
, vol.16
, pp. 561-582
-
-
Saris, W.E.1
Satorra, A.2
van der Veld, W.M.3
-
54
-
-
84867683349
-
The relationship between root mean square error of approximation and model misspecification in confirmatory factor analysis
-
Savalei, V. (2012). The relationship between root mean square error of approximation and model misspecification in confirmatory factor analysis. Educational and Psychological Measurement, 72, 910-932. http://dx.doi.org/10.1177/0013164412452564
-
(2012)
Educational and Psychological Measurement
, vol.72
, pp. 910-932
-
-
Savalei, V.1
-
56
-
-
12144272522
-
A simulation study to investigate the use of cutoff values for assessing model fit in covariance structure models
-
Sharma, S., Mukherjee, S., Kumar, A., & Dillon, W. R. (2005). A simulation study to investigate the use of cutoff values for assessing model fit in covariance structure models. Journal of Business Research, 58, 935-943. http://dx.doi.org/10.1016/j.jbusres.2003.10.007
-
(2005)
Journal of Business Research
, vol.58
, pp. 935-943
-
-
Sharma, S.1
Mukherjee, S.2
Kumar, A.3
Dillon, W.R.4
-
57
-
-
0000563849
-
On the relationship between item response theory and factor analysis of discretized variables
-
Takane, Y., & de Leeuw, J. (1987). On the relationship between item response theory and factor analysis of discretized variables. Psychometrika, 52, 393-408. http://dx.doi.org/10.1007/BF02294363
-
(1987)
Psychometrika
, vol.52
, pp. 393-408
-
-
Takane, Y.1
de Leeuw, J.2
-
58
-
-
0030569035
-
Latent variable models of need for uniqueness
-
Tepper, K., & Hoyle, R. H. (1996). Latent variable models of need for uniqueness. Multivariate Behavioral Research, 31, 467-494. http://dx .doi.org/10.1207/s15327906mbr3104_4
-
(1996)
Multivariate Behavioral Research
, vol.31
, pp. 467-494
-
-
Tepper, K.1
Hoyle, R.H.2
-
59
-
-
79958855301
-
Dimensionality assessment of ordered polytomous items with parallel analysis
-
Timmerman, M. E., & Lorenzo-Seva, U. (2011). Dimensionality assessment of ordered polytomous items with parallel analysis. Psychological Methods, 16, 209-220. http://dx.doi.org/10.1037/a0023353
-
(2011)
Psychological Methods
, vol.16
, pp. 209-220
-
-
Timmerman, M.E.1
Lorenzo-Seva, U.2
-
60
-
-
0001193215
-
Determining the number of components from the matrix of partial correlations
-
Velicer, W. F. (1976). Determining the number of components from the matrix of partial correlations. Psychometrika, 41, 321-327. http://dx.doi .org/10.1007/BF02293557
-
(1976)
Psychometrika
, vol.41
, pp. 321-327
-
-
Velicer, W.F.1
-
61
-
-
0002366447
-
Construct explication through factor or component analysis: A review and evaluation of alternative procedures for determining the number of factors or components
-
R. D. Goffin & E. Helmes (Eds.), New York, NY: Kluwer Academic/Plenum Press
-
Velicer, W. F., Eaton, C. A., & Fava, J. L. (2000). Construct explication through factor or component analysis: A review and evaluation of alternative procedures for determining the number of factors or components. In R. D. Goffin & E. Helmes (Eds.), Problems and solutions in human assessment: Honoring Douglas N. Jackson at seventy (pp. 41-71). New York, NY: Kluwer Academic/Plenum Press. http://dx.doi.org/ 10.1007/978-1-4615-4397-8_3
-
(2000)
Problems and solutions in human assessment: Honoring Douglas N. Jackson at seventy
, pp. 41-71
-
-
Velicer, W.F.1
Eaton, C.A.2
Fava, J.L.3
-
62
-
-
21344498334
-
Common factor analysis versus principal component analysis: Differential bias in representing model parameters?
-
Widaman, K. F. (1993). Common factor analysis versus principal component analysis: Differential bias in representing model parameters? Multivariate Behavioral Research, 28, 263-311. http://dx.doi.org/10.1207/s15327906mbr2803_1
-
(1993)
Multivariate Behavioral Research
, vol.28
, pp. 263-311
-
-
Widaman, K.F.1
-
63
-
-
84939771481
-
On the number of factors in exploratory factor analysis for ordered categorical data
-
Yang, Y., & Xia, Y. (2015). On the number of factors in exploratory factor analysis for ordered categorical data. Behavior Research Methods, 47, 756-772. http://dx.doi.org/10.3758/s13428-014-0499-2
-
(2015)
Behavior Research Methods
, vol.47
, pp. 756-772
-
-
Yang, Y.1
Xia, Y.2
-
64
-
-
77954442639
-
Confirmatory factor analysis of ordinal variables with misspecified models
-
Yang-Wallentin, F., Jöreskog, K. G., & Luo, H. (2010). Confirmatory factor analysis of ordinal variables with misspecified models. Structural Equation Modeling, 17, 392-423. http://dx.doi.org/10.1080/10705511.2010.489003
-
(2010)
Structural Equation Modeling
, vol.17
, pp. 392-423
-
-
Yang-Wallentin, F.1
Jöreskog, K.G.2
Luo, H.3
|