# References

*Part of the IBM SPSS Amos online Help, rendered for AI use. See `llms.txt` for the index.*

<a id="t_references2"></a>
# References

<a id="t_akaike_1973"></a>
## Akaike (1973)

Akaike, H. (1973). Information theory and an extension of the maximum likelihood principle. In Petrov, B.N. & Csaki, F. [Eds.], *Proceedings of the 2nd International Symposium on Information Theory*. Budapest: Akademiai Kiado, 267–281.

<a id="t_akaike_1978"></a>
## Akaike (1978)

Akaike, H. (1978). A Bayesian analysis of the minimum AIC procedure. *Annals of the Institute of Statistical Mathematics*, *30*, 9-14.

<a id="t_akaike_1987"></a>
## Akaike (1987)

Akaike, H. (1987). Factor analysis and AIC. *Psychometrika*, *52*, 317–332.

<a id="t_allison_2002"></a>
## Allison (2002)

Allison, P. D. (2002). *Missing data* (Vol. 136). Thousand Oaks, CA: Sage.

<a id="t_anderson_1935"></a>
## Anderson (1935)

Anderson, E. (1935). The irises of the Gaspe Peninsula. *Bulletin of the American Iris Society*, *59*, 2-5.

<a id="t_anderson_1957"></a>
## Anderson (1957)

Anderson, T.W. (1957). Maximum likelihood estimates for a multivariate normal distribution when some observations are missing. *Journal of the American Statistical Association*, *52*, 200–203.

<a id="t_anderson_1984"></a>
## Anderson (1984)

Anderson, T.W. (1984). *An introduction to multivariate statistical analysis*. New York: Wiley.

<a id="t_arbuckle_unpublished"></a>
## Arbuckle (unpublished)

Arbuckle, J.L. (unpublished). Bootstrapping and model selection for analysis of moment structures.

<a id="t_arbuckle_1994a"></a>
## Arbuckle (1994a)

Arbuckle, J.L. (1994a). Advantages of model-based analysis of missing data over pairwise deletion. Presented at the RMD Conference on Causal Modeling, West Lafayette, IN.

<a id="t_arbuckle_1994b"></a>
## Arbuckle (1994b)

Arbuckle, J.L. (1994b). A permutation test for analysis of covariance structures. Presented at the annual meeting of the Psychometric Society, University of Illinois, Champaign, IL.

<a id="t_arbuckle_1996"></a>
## Arbuckle (1996)

Arbuckle, J.L. (1996). Full information estimation in the presence of incomplete data. In G.A. Marcoulides & R.E. Schumacker [Eds.] *Advanced structural equation modeling. *Mahwah, New Jersey: Lawrence Erlbaum Associates.

<a id="t_arminger__stein___wittenberg_1"></a>
## Arminger, Stein, & Wittenberg (1999)

Arminger, G., Stein, P., & Wittenberg, J. (1999). Mixtures of conditional mean- and covariance-structure models. *Psychometrika*, *64*(4), 475-494.

<a id="t_attig_1983"></a>
## Attig (1983)

Attig, M.S. (1983). The processing of spatial information by adults. Presented at the annual meeting of The Gerontological Society, San Francisco.

<a id="t_beale__little_1975"></a>
## Beale & Little (1975)

Beale, E.M.L. & Little, R.J.A. (1975). Missing values in multivariate analysis. *Journal of the Royal Statistical Society Series B*, *37*, 129–145.

<a id="t_beck_1967"></a>
## Beck (1967)

Beck, A. T. (1967). Depression: Causes and Treatment. Philadelphia, PA: University of Pennsylvania Press.

<a id="t_bentler_1980"></a>
## Bentler (1980)

Bentler, P.M. (1980). Multivariate analysis with latent variables: Causal modeling. *Annual Review of Psychology*, *31*, 419–456.

<a id="t_bentler_1985"></a>
## Bentler (1985)

Bentler, P.M. (1985). *Theory and Implementation of EQS: A Structural Equations Program*. Los Angeles: BMDP Statistical Software.

<a id="t_bentler_1989"></a>
## Bentler (1989)

Bentler, P. (1989). *EQS structural equations program *manual. Los Angeles, CA: BMDP Statistical Software.

<a id="t_bentler_1990"></a>
## Bentler (1990)

Bentler, P.M. (1990). Comparative fit indexes in structural models. *Psychological Bulletin*, *107*, 238–246

<a id="t_bentler__bonett_1980"></a>
## Bentler & Bonett (1980)

Bentler, P.M. & Bonett, D.G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. *Psychological Bulletin*, *88*, 588–606.

<a id="t_bentler__chou_1987"></a>
## Bentler & Chou (1987)

Bentler, P.M. & Chou, C. (1987). Practical issues in structural modeling. *Sociological Methods and Research, 16*, 78–117.

<a id="t_bentler__freeman_1983"></a>
## Bentler & Freeman (1983)

Bentler, P.M. & Freeman, E.H. (1983). Tests for stability in linear structural equation systems. *Psychometrika*, *48*, 143–145.

<a id="t_bentler__weeks_1980"></a>
## Bentler & Weeks (1980)

Bentler, P.M. & Weeks, D.G. (1980). Linear structural equations with latent variables. Psychometrika, *45, 289–308.*

<a id="t_bentler__woodward_1979"></a>
## Bentler & Woodward (1979)

Bentler, P.M. & Woodward, J.A. (1979). Nonexperimental evaluation research: Contributions of causal modeling. In Datta, L. & Perloff, R. [Eds.], *Improving Evaluations*. Beverly Hills: Sage.

<a id="t_bollen_1986"></a>
## Bollen (1986)

Bollen, K.A. (1986). Sample size and Bentler and Bonett's nonnormed fit index. *Psychometrika*, *51*, 375–377.

<a id="t_bollen_1987"></a>
## Bollen (1987)

Bollen, K.A. (1987). Outliers and improper solutions: A confirmatory factor analysis example. *Sociological Methods and Research*, *15*, 375–384.

<a id="t_bollen_1989a"></a>
## Bollen (1989a)

Bollen, K.A. (1989a). *Structural equations with latent variables*. New York: Wiley.

<a id="t_bollen_1989b"></a>
## Bollen (1989b)

Bollen, K.A. (1989b). A new incremental fit index for general structural equation models. *Sociological Methods and Research*, *17*, 303–316.

<a id="t_bollen__curran_2006"></a>
## Bollen & Curran (2006)

Bollen, K. A., & Curran, P. J. (2006). *Latent curve models: A structural equation modeling perspective*. Hoboken, NJ: Wiley.

<a id="t_bollen__joereskog_1985"></a>
## Bollen & Jöreskog (1985)

Bollen, K.A. & Jöreskog, K.G. (1985). Uniqueness does not imply identification: A note on confirmatory factor analysis. *Sociological Methods and Research*, 14, 155–163.

<a id="t_bollen__liang_1988"></a>
## Bollen & Liang (1988)

Bollen, K.A. & Liang, J. (1988). Some properties of Hoelter's CN. *Sociological Methods and Research*, *16*, 492–503.

<a id="t_bollen__long_1993"></a>
## Bollen & Long (1993)

Bollen, K.A. & Long, J.S. [Eds.] (1993). *Testing structural equation models*. Newbury Park, CA: Sage.

<a id="t_bollen__stine_1992"></a>
## Bollen & Stine (1992)

Bollen, K.A. & Stine, R.A. (1992). Bootstrapping goodness-of-fit measures in structural equation models. *Sociological Methods and Research*, *21*, 205–229.

<a id="t_bolstad_2004"></a>
## Bolstad & Curran (2017)

Bolstad, W. M. (2004). Introduction to Bayesian Statistics. Hoboken, NJ: John Wiley and Sons.

<a id="t_boomsma_1987"></a>
## Boomsma (1987)

Boomsma, A. (1987). The robustness of maximum likelihood estimation in structural equation models. In Cuttance, P. & Ecob, R. [Eds.] *Structural Modeling by Example: Applications in Educational, Sociological, and Behavioral Research*. Cambridge University Press, 160–188.

<a id="t_botha__shapiro__steiger_1988"></a>
## Botha, Shapiro & Steiger (1988)

Botha, J.D., Shapiro, A. & Steiger, J.H. (1988). Uniform indices-of-fit for factor analysis models. *Multivariate Behavioral Research*, *23*, 443–450.

<a id="t_bozdogan_1987"></a>
## Bozdogan (1987)

Bozdogan, H. (1987). Model selection and Akaike's information criterion (AIC): The general theory and its analytical extensions. *Psychometrika*, *52*, 345–370.

<a id="t_brown_1983"></a>
## Brown (1983)

Brown, C.H. (1983). Asymptotic comparison of missing data procedures for estimating factor loadings. *Psychometrika*, *48(2)*, 269- 291.

<a id="t_brown_1994"></a>
## Brown (1994)

Brown, R.L. (1994). Efficacy of the indirect approach for estimating structural equation models with missing data: A comparison of five methods. *Structural Equation Modeling: A Multidisciplinary Journal*, *1*, 287-316.

<a id="t_browne_1982"></a>
## Browne (1982)

Browne, M.W. (1982). Covariance structures. In Hawkins, D.M. [Ed.] *Topics in applied multivariate analysis*. Cambridge: Cambridge University Press, 72–141.

<a id="t_browne_1984"></a>
## Browne (1984)

Browne, M.W. (1984). Asymptotically distribution-free methods for the analysis of covariance structures. *British Journal of Mathematical and Statistical Psychology*, *37*, 62–83.

<a id="t_browne__cudeck_1989"></a>
## Browne & Cudeck (1989)

Browne, M.W. & Cudeck, R. (1989). Single sample cross-validation indices for covariance structures. *Multivariate Behavioral Research*, *24*, 445–455.

<a id="t_browne__cudeck_1993"></a>
## Browne & Cudeck (1993)

Browne, M.W. & Cudeck, R. (1993). Alternative ways of assessing model fit. In Bollen, K.A. & Long, J.S. [Eds.] *Testing structural equation models*. Newbury Park, CA: Sage, 136–162.

<a id="t_browne__mels_1992"></a>
## Browne & Mels (1992)

Browne, M.W. & Mels, G. (1992). RAMONA User's Guide. The Ohio State University, Columbus, OH.

<a id="t_burnham__anderson_2002"></a>
## Burnham & Anderson (2002)

Burnham, K. P., & Anderson, D. R. (2002). Model selection and multimodel inference: A practical information-theoretic approach (2nd ed.). New York: Springer-Verlag.

<a id="t_burns-_1999_"></a>
## Burns (1999)

Burns, D. D. 1999. *Feeling good: the new mood therapy*. New York: Avon Books.

<a id="t_burns-_2020_"></a>
## Burns (2020)

Burns, D. D. 2020. *Feeling great: the revolutionary new treatment for depression and anxiety*. Eau

Claire, WI: PESI.

<a id="t_byrne_1989"></a>
## Byrne (1989)

Byrne, B. M. (1989). *A primer of LISREL: Basic applications and programming for confirmatory factor analytic models*. New York: Springer-Verlag.

<a id="t_byrne_2001"></a>
## Byrne (2016)

Byrne, B. M. (2016). *Structural equation modeling with AMOS: Basic concepts, applications and programming**, 3rd edition*. Abingdon: Routledge.

<a id="t_carmines__mciver_1981"></a>
## Carmines & McIver (1981)

Carmines, E.G. & McIver, J.P. (1981). Analyzing models with unobserved variables. In Bohrnstedt, G.W. & Borgatta, E.F. [Eds.] *Social measurement: Current issues*. Beverly Hills: Sage.

<a id="t_cattell_1966"></a>
## Cattell (1966)

Cattell, R.B. (1966). The scree test for the number of factors. *Multivariate Behavioral *Research, 1, 245-276.

<a id="t_celeux__hurn__robert_2000"></a>
## Celeux, Hurn & Robert (2000)

Celeux, G., Hurn, M., & Robert, C. P. (2000). Computational and inferential difficulties with mixture posterior distributions. *Journal of the American Statistical Association*, *95*(451), 957-970.

<a id="t_chen__bollen__paxton__curran__"></a>
## Chen, Bollen, Paxton, Curran & Kirby (2001)

Chen, F., Bollen, K. A., Paxton, P., Curran, P. J., & Kirby, J. B. (2001). Improper solutions in structural equation models: Causes, consequences, and strategies. Sociological Methods & Research, 29(4), 468-508.

<a id="t_chung__loken__schafer_2004"></a>
## Chung, Loken & Schafer (2004)

Chung, H., Loken, E., & Schafer, J. L. (2004). Difficulties in drawing inferences with finite-mixture models: A simple example with a simple solution. *American Statistician*, *58*(2), 152-158.

<a id="t_cliff_1973"></a>
## Cliff (1973)

Cliff, N. (1973). Scaling. *Annual Review of Psychology*, *24*, 473–506.

<a id="t_cliff_1983"></a>
## Cliff (1983)

Cliff, N. (1983). Some cautions concerning the application of causal modeling methods. *Multivariate Behavioral Research*, *18*, 115–126.

<a id="t_cochran_1952"></a>
## Cochran (1952)

Cochran, W.G. (1952). The $\lambda^{2}$ test of goodness of fit. *Annals of Mathematical Statistics*, *23*, 315–345.

<a id="t_collins__schafer___kam_2001"></a>
## Collins, Schafer, & Kam (2001)

Collins, L. M., Schafer, J. L., & Kam, C.-M. (2001). A comparison of inclusive and restrictive strategies in modern missing data procedures. Psychological Methods, 6(4), 330-351.

<a id="t_cook__campbell_1979"></a>
## Cook & Campbell (1979)

Cook, T.D. & Campbell, D.T. (1979). *Quasi-experimentation: Design and analysis issues for field settings*. Chicago: Rand McNally.

<a id="t_croon_2002"></a>
## Croon (2002)

Croon, M. (2002). Ordering the classes. In J. A. Hagenaars & A. L. McCutcheon (Eds.), *Applied latent class analysis* (pp. 137-162). Cambridge, UK: Cambridge University Press.

<a id="t_crowley__hu_1977"></a>
## Crowley & Hu (1977)

Crowley, J., & Hu, M. (1977). Covariance analysis of heart transplant data. *Journal of the American Statistical Association*, *72*, 27-36.

<a id="t_cudeck__browne_1983"></a>
## Cudeck & Browne (1983)

Cudeck, R. & Browne, M.W. (1983). Cross-validation of covariance structures. *Multivariate Behavioral Research*, *18*, 147–167.

<a id="t_davis_1993"></a>
## Davis (1993)

Davis, W.R. (1993). The FC1 rule of identification for confirmatory factor analysis: A general sufficient condition. *Sociological Methods and Research*, *21*, 403–437.

<a id="t_diaconis__efron_1983"></a>
## Diaconis & Efron (1983)

Diaconis, P. & Efron, B. (1983). Computer-intensive methods in statistics. *Scientific American*, *248(5)*, 116–130.

<a id="t_ding_2006"></a>
## Ding (2006)

Ding, C. (2006). Using Regression Mixture Analysis in Educational Research. *Practical Assessment Research & Evaluation*, *11*(11). Available online: http://pareonline.net/getvn.asp?v=11&n=11.

<a id="t_dolker__halperin__divgi_1982"></a>
## Dolker, Halperin & Divgi (1982)

Dolker, M., Halperin, S. & Divgi, D.R. (1982). Problems with bootstrapping Pearson correlations in very small samples. *Psychometrika*, *47*, 529–530.

<a id="t_draper__smith_1981"></a>
## Draper & Smith (1981)

Draper, N.R. & Smith, H. (1981). *Applied regression analysis. (2nd Ed.)* New York: Wiley.

<a id="t_duncan__duncan__strycker_2006"></a>
## Duncan, Duncan & Strycker (2006)

Duncan, T. E., Duncan, S. C., & Strycker, L. A. (2006). *An introduction to latent variable growth curve modeling: Concepts, issues and applications*. Mahwah, NJ: Erlbaum.

<a id="t_edgington_1987"></a>
## Edgington (1987)

Edgington, E.S. (1987). *Randomization Tests* (Second edition). New York: Marcel Dekker.

<a id="t_efron_1979"></a>
## Efron (1979)

Efron, B. (1979). Bootstrap methods: Another look at the jackknife. *Annals of Statistics*, *7*, 1–26.

<a id="t_efron_1982"></a>
## Efron (1982)

Efron, B. (1982). *The jackknife, the bootstrap and other resampling plans*. (SIAM Monograph #38) Philadelphia: Society for Industrial and Applied Mathematics.

<a id="t_efron_1987"></a>
## Efron (1987)

Efron, B. (1987). Better bootstrap confidence intervals. *Journal of the American Statistical Association*, *82*, 171–185.

<a id="t_efron__gong_1983"></a>
## Efron & Gong (1983)

Efron, B. & Gong, G. (1983). A leisurely look at the bootstrap, the jackknife, and cross-validation. *American Statistician*, *37*, 36–48.

<a id="t_efron__hinkley_1978"></a>
## Efron & Hinkley (1978)

Efron, B. & Hinkley, D.V. (1978). Assessing the accuracy of the maximum likelihood estimator: Observed versus expected Fisher information. *Biometrika*, *65*, 457-87.

<a id="t_efron__tibshirani_1993"></a>
## Efron & Tibshirani (1993)

Efron, B. & Tibshirani, R.J. (1993). *An introduction to the bootstrap*. New York: Chapman and Hall.

<a id="t_european_values_study"></a>
## European Values Study

European Values Study Group and World Values Survey Association. EUROPEAN AND WORLD VALUES SURVEYS FOUR-WAVE INTEGRATED DATA FILE, 1981-2004, v.20060423, 2006. Aggregate File Producers: Análisis Sociológicos Económicos y Políticos (ASEP) and JD Systems (JDS), Madrid, Spain/Tilburg University, Tilburg, The Netherlands. Data Files Suppliers: Analisis Sociologicos Economicos y Politicos (ASEP) and JD Systems (JDS), Madrid, Spain/Tillburg University, Tillburg, The Netherlands/ Zentralarchiv fur Empirische Sozialforschung (ZA), Cologne, Germany:) Aggregate File Distributors: Análisis Sociológicos Económicos y Políticos (ASEP) and JD Systems (JDS), Madrid, Spain/Tillburg University, Tilburg, The Netherlands/Zentralarchiv fur Empirische Sozialforschung (ZA) Cologne, Germany.

<a id="t_felson__bohrnstedt_1979"></a>
## Felson & Bohrnstedt (1979)

Felson, R.B. & Bohrnstedt, G.W. (1979). "Are the good beautiful or the beautiful good?" The relationship between children's perceptions of ability and perceptions of physical attractiveness. *Social Psychology Quarterly*, *42*, 386–392.

<a id="t_fienberg_1977"></a>
## Fienberg (1977)

Fienberg, S. E. (1977). *The analysis of cross-classified categorical data*. Cambridge, MA: MIT Press.

<a id="t_fisher_1936"></a>
## Fisher (1936)

Fisher, R. A. (1936). The use of multiple measurements in taxonomic problems. *Annals of Eugenics*, *7*, 179-188.

<a id="t_fox_1980"></a>
## Fox (1980)

Fox, J. (1980). Effect analysis in structural equation models. *Sociological Methods and Research*, *9*, 3–28.

<a id="t_fraley__raftery_2002"></a>
## Fraley & Raftery (2002)

Fraley, C., & Raftery, A. E. (2002). Model-based clustering, discriminant analysis, and density estimation. *Journal of the American Statistical Association*, *97*(458), 611-631.

<a id="t_fruehwirth-schnatter_2004"></a>
## Frühwirth-Schnatter (2004)

Frühwirth-Schnatter, S. (2004). Estimating marginal likelihoods for mixture and Markov switching models using bridge sampling techniques. *The Econometrics Journal*, *7*, 143-167.

<a id="t_furnival__wilson_1974"></a>
## Furnival & Wilson (1974)

Furnival, G.M. & Wilson, R.W. (1974). Regression by leaps and bounds. *Technometrics*, *16*, 499-511.

<a id="t_gill_2004"></a>
## Gill (2004)

Gill, J. (2004). Introduction to the Special Issue. Political Analysis, 12(4), 323-337.

<a id="t_graham_2003"></a>
## Graham (2003)

Graham, J. W. (2003). Adding missing-data relevant variables to FIML-based structural equation models. Structural Equation Modeling, 10, 80-100.

<a id="t_graham__et_al__1996"></a>
## Graham, et al. (1996)

Graham, J.W., Hofer, S.M. & MacKinnon, D.P. (1996). Maximizing the usefulness of data obtained with planned missing value patterns: An application of maximum likelihood procedures. *Multivariate Behavorial Research*, *31*, 197-218.

<a id="t_graham__et_al__1997"></a>
## Graham, et al. (1997)

Graham, J.W., Hofer, S.M., Donaldson, S.I., Mackinnon, D.P. & Schafer, J.L. (1997). Analysis with missing data in prevention research. In K. Bryant, M. Windle & S. West [Eds.] *The science of prevention: Methodological advances from alcohol and substance abuse research.* Washington, DC: American Psychological Association.

<a id="t_gelman__et_al__2004"></a>
## Gelman, et al. (2004)

Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A. & Rubin, D. B. (2013). *Bayesian data analysis* (3rd ed.). Boca Raton: Chapman and Hall/CRC.

<a id="t_gulliksen__tukey_1958"></a>
## Gulliksen & Tukey (1958)

Gulliksen, H. & Tukey, J.W. (1958). Reliability for the law of comparative judgment. *Psychometrika*, *23*, 95–110.

<a id="t_hagenaars__mccutcheon_2002"></a>
## Hagenaars & McCutcheon (2002)

Hagenaars, J. A., & McCutcheon, A. L. (2002). *Applied latent class analysis*. Cambridge: Cambridge University Press.

<a id="t_hamilton_1960"></a>
## Hamilton (1960)

Hamilton, M. (1960). A Rating Scale for Depression. Journal of Neurology Neurosurgery and Psychiatry, 23, 56-62.

<a id="t_hamilton_1990"></a>
## Hamilton (1990)

Hamilton, L.C. (1990). *Statistics with Stata*. Pacific Grove, CA: Brooks/Cole.

<a id="t_hayduk_1987"></a>
## Hayduk (1987)

Hayduk, L.A. (1987). *Structural equation modeling with LISREL*. Baltimore: Johns Hopkins University Press.

<a id="t_hoelter_1983"></a>
## Hoelter (1983)

Hoelter, J.W. (1983). The analysis of covariance structures: Goodness-of-fit indices. *Sociological Methods and Research*, *11*, 325–344.

<a id="t_hoeting__et_al__1999"></a>
## Hoeting, et al. (1999)

Hoeting, J.A., Madigan, D., Raftery, A.E. & Volinsky, C.T. (1999). Bayesian model averaging: A tutorial. *Statistical Science*, *14*, 382- 417.

<a id="t_holzinger__swineford_1939"></a>
## Holzinger & Swineford (1939)

Holzinger, K.J. & Swineford, F.A. (1939). A study in factor analysis: The stability of a bi-factor solution. *Supplementary Educational Monographs*, No. 48. Chicago: University of Chicago, Dept. of Education.

<a id="t_hoshino_2001"></a>
## Hoshino (2001)

Hoshino, T. (2001). Bayesian inference for finite mixtures in confirmatory factor analysis. *Behaviormetrika*, *28*(1), 37-63.

<a id="t_hu__bentler_1999"></a>
## Hu & Bentler (1999)

Hu, L. & Bentler, P. (1999). Cutoff criteria for fit indices in covariance structure analysis: conventional criteria versus new alternatives. *Structural Equation Modeling, 6*, 1-55.

<a id="t_hubert__golledge_1981"></a>
## Hubert & Golledge (1981)

Hubert, L.J. & Golledge, R.G. (1981). A heuristic method for the comparison of related structures. *Journal of Mathematical Psychology*, *23*, 214–226.

<a id="t_huitema_1980"></a>
## Huitema (1980)

Huitema, B.E. (1980). *The analysis of covariance and alternatives*. New York: Wiley.

<a id="t_jackman_2000"></a>
## Jackman (2000)

Jackman, S. (2000). Estimation and Inference Via Bayesian Simulation: An Introduction to Markov Chain Monte Carlo. American Journal of Political Science, 44(2), 375-404.

<a id="t_james__mulaik__brett_1982"></a>
## James, Mulaik & Brett (1982)

James, L.R., Mulaik, S.A. & Brett, J.M. (1982). *Causal analysis: Assumptions, models and data*. Beverly Hills: Sage.

<a id="t_jasra__holmes__stephens_2005"></a>
## Jasra, Holmes & Stephens (2005)

Jasra, A., Holmes, C. C., & Stephens, D. A. (2005). Markov chain Monte Carlo methods and the label switching problem in Bayesian mixture modeling. *Statistical Science*, *20*(1), 50-67.

<a id="t_joereskog_1967"></a>
## Jöreskog (1967)

Jöreskog, K.G. (1967). Some contributions to maximum likelihood factor analysis. *Psychometrika*, *32*, 443–482.

<a id="t_joereskog_1969"></a>
## Jöreskog (1969)

Jöreskog, K.G. (1969). A general approach to confirmatory maximum likelihood factor analysis. *Psychometrika*, *34*, 183–202.

<a id="t_joereskog_1971"></a>
## Jöreskog (1971)

Jöreskog, K.G. (1971). Simultaneous factor analysis in several populations. *Psychometrika*, *36*, 409–426.

<a id="t_joereskog_1979"></a>
## Jöreskog (1979)

Jöreskog, K.G. (1979). A general approach to confirmatory maximum likelihood factor analysis with addendum.. In Jöreskog, K.G. & Sörbom, D. [Eds.] *Advances in factor analysis and structural equation models*. Cambridge, MA: Abt Books, 21–43.

<a id="t_joereskog__soerbom_1984"></a>
## Jöreskog & Sörbom (1984)

Jöreskog, K.G. & Sörbom, D. (1984). *LISREL-VI user's guide* (3rd ed.). Mooresville, IN: Scientific Software.

<a id="t_joereskog__soerbom_1989"></a>
## Jöreskog & Sörbom (1989)

Jöreskog, K.G. & Sörbom, D. (1989). *LISREL-7 user's reference guide*. Mooresville, IN: Scientific Software.

<a id="t_joereskog__soerbom_1996"></a>
## Jöreskog & Sörbom (1996)

Jöreskog, K.G. & Sörbom, D. (1996). *LISREL 8 User's reference *guide. Chicago: Scientific Software.

<a id="t_kalbfleisch__prentice_2002"></a>
## Kalbfleisch & Prentice (2002)

Kalbfleisch, J. D., & Prentice, R. L. (2002). *The statistical analysis of failure time data*. Hoboken, NJ: Wiley.

<a id="t_kaplan_1989"></a>
## Kaplan (1989)

Kaplan, D. (1989). Model modification in covariance structure analysis: Application of the expected parameter change statistic. *Multivariate Behavioral Research*, *24*, 285–305.

<a id="t_kendall__stuart_1973"></a>
## Kendall & Stuart (1973)

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