Abstract
Covariance structure modeling (CSM) is increasingly being utilized in stress research. For this reason, a methodological review was undertaken to assess how well applied researchers have recognized the shortcomings and recommendations commonly espoused in the mathematical and statistical CSM literature. In reviewing a broad cross section of research (n=50), many problems were noted. For example, data sets were rarely checked for nonnormality even though conventional CSM estimation procedures (e.g., maximum likelihood) are based on the assumption that the data come from multivariate normal distribution, equivalent models were neither evaluated nor even acknowledged, and the majority of favored models were modified based on empirical rather than theoretical considerations. The results suggest that applied stress researchers have inadequate knowledge of the technical CSM literature, which has potential ramifications for theory development.
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REFERENCES
Abbey, A., Andrews, F. M., and Halman, L. J. (1995). Provision and receipt of social support and disregard: What is their impact on marital life quality of infertile and fertile couples. J. Person. Soc. Psychol. 68: 455-469.
Aneshensel, C. S., and Frerichs, R. R. (1982). Stress, support, and depression: A longitudinal casual model. J. Commun. Psychol. 10: 363-376.
Austin, J. T., and Calderón, R. F. (1996). Theoretical and technical contributions to structural equation modeling: An updated annotated bibliography. Struct. Eq. Model. 3: 105-175.
Bagozzi, R., and Heatherton, T. F. (1994). A general approach to representing multifaceted personality constructs: Application to state self-esteem. Struct. Eq. Model. 1: 35-67.
Bagozzi, R., and Yi, Y. (1989). On the use of structural equation models in experimental designs. J. Market. 36: 271-284.
Bandalos, D. (1993). Factors influencing the cross-validation of confirmatory factory analysis models. Multivar. Behav. Res. 27: 351-374.
Bentler, P. M. (1990). Comparative fit indices in structural models. Psychol. Bull. 107: 238-246.
Bentler, P. M. (1992). EQS Structural Equations Program Manual, BMDP Statistical Software, Los Angeles, CA.
Bentler, P. M., and Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychol. Bull. 88: 588-606.
Bentler, P. M., and Chou, C.-P. (1988). Practical issues in structural modeling. In Long, J. S. (ed.), Common Problems/Proper Solutions: Avoiding Errors in Quantitative Research, Sage, Newbury Park, CA, pp. 161-192.
Bernstein, I. H., and Teng, G. (1989). Factoring items and factoring scales are different: Spurious evidence for multidimensionality due to item categorization. Psychol. Bull. 105: 467-477.
Bollen, K. A. (1989a). Structural Equations with Latent Variables, Wiley, New York.
Bollen, K. A. (1989b). A new incremental fit index for general structural equation models. Sociol. Methods Res. 17: 303-316.
Bosch, L. H. M. (1987). Shift work in health care. Ergonomics 30: 733-791.
Boyle, G. J., Borg, M. G., Falzon, J. M., and Baglioni, A. J., Jr. (1995). A structural model of the dimensions of teacher stress. Br. J. Educ. Psychol. 65: 49-67.
Bozdogan, H. (1988). ICOMP: A new model selection criterion. In Bock, H. H. (ed.), Classification and Related Methods of Data Analysis, North-Holland, Amsterdam, pp. 599-608.
Breckler, S. J. (1990). Applications of covariance structure modeling in psychology: Cause for concern? Psychol. Bull. 107: 260-273.
Browne, M. W. (1984). Asymptotically distribution-free methods for the analysis of covariance structures. Br. J. Math. Stat. Psychol. 37: 62-83.
Browne, M. W. (1991). FITMOD: A computer program for calculating point and interval estimates of fit measures, Unpublished manuscript, Ohio State University.
Browne, M. W., and Cudeck, R. (1989). Single-sample cross-validation indices for covariance structures. Multivar. Behav. Res. 24: 445-455.
Browne, M. W., and Cudeck, R. (1993). Alternative ways of assessing model fit. In Bollen, K. A., and Long, J. S. (eds.), Testing Structural Equation Models, Sage, Newbury Park, CA, pp. 136-162.
Bryk, A. S., and Raudenbush, S. W. (1992). Hierarchical Linear Models: Applications and Data Analysis Methods, Sage, Newbury Park, CA.
Bullock, H. E., Harlow, L. L., and Mulaik, S. A. (1994). Causation issues in structural equation modeling research. Struct. Eq. Model. 1: 253-267.
Byrne, B. M. (1994). Structural Equation Modeling with EQS and EQS/Windows: Basic Concepts, Applications, and Programming, Sage, Newbury Park, CA.
Castro, F. G., Maddahian, E., Newcomb, M. D., and Bentler, P. M. (1987). A multivariate model of the determinants of cigarette smoking among adolescents. J. Health Soc. Behav. 28: 273-289.
Cohen, S., Kessler, R. C., and Gordon, L. U. (1995). Measuring Stress: A Guide for Health and Social Scientists, Oxford University Press, New York.
Cole, D. A., Maxwell, S. E., Arvey, R., and Salas, E. (1993). Multivariate group comparisons of variable systems: MANOVA and structural equation modeling. Psychol. Bull. 114: 174-184.
Cooper, C. L., and Baglioni, A. J. (1988). A structural model approach toward the development of a theory of the link between stress and mental health. Br. J. Med. Psychol. 61: 87-102.
Coovert, M. D., Penner, L. A., and MacCallum, R. (1990). Covariance structural modeling in personality and social psychological research. Rev. Person. Soc. Psychol. 11: 185-216.
Cramer, D. (1994). Psychological distress and neuroticism. A two-wave panel study. Br. J. Med. Psychol. 67: 333-342.
Cudeck, R. (1989). Analysis of correlation matrices using covariance structure models. Psychol. Bull. 105: 317-327.
Day, D. V., and Bedeian, A. G. (1995). Personality similarity and work-related outcomes among African-American nursing personnel: A test of the supplementary model of person-environment congruence. J. Vocat. Behav. 46: 55-70.
Denison, D. R. (1982). Multidimensional scaling and structural equation modeling: A comparison of multivariate techniques for theory testing. Multivar. Behav. Res. 17: 447-470.
Ding, L., Velicer, W. F., and Harlow, L. L. (1995). Effects of estimation methods, number of indicators per factor, and improper solutions on structural equation modeling fit indices. Struct. Eq. Model. 2: 119-143.
Dohrenwend, B. S., and Dohrenwend, B. P. ( 1984). Life stress and illness: Formulations of the issues. In Dohrenwend, B. S., and Dohrenwend, B. P. (eds.), Stressful Life Events and Their Contexts, Rutgers University Press, New Brunswick, NJ, pp. 1-27.
Duncan, T. E., and Duncan, S. C. (1995). Modeling the processes of development via latent variable growth curve methodology. Struct. Eq. Model. 2: 187-213.
Feist, G. J., Bodner, T. E., Jacobs, J. F., Miles, M., and Tan, V. (1995). Integrating top-down and bottom-up structural models of subjective well-being: A longitudinal investigation. J. Person. Soc. Psychol. 68: 138-150.
Florian, V., Mikulincer, M., and Taubman, O. (1995). Does hardiness contribute to mental health during a stressful real-life situation? The roles of appraisal and coping. J. Person. Soc. Psychol. 68: 687-695.
Fontana, A., and Rosenheck, R. (1993). A causal model of the etiology of war-related PTSD. J. Traumatic Stress 6: 475-500.
Fontana, A., and Rosenheck, R. (1995). Attempted suicide among Vietnam veterans: A model of etiology in a community sample. Am. J. Psychiatry 152: 102-109.
Fontana, A. F., Kerns, R. D., Rosenberg, R. L., and Colonese, K. L. (1989). Support, stress, and recovery from coronary heart disease: A longitudinal causal model. Health Psychol. 8: 175-193.
Francis, D. J. (1988). An introduction to structural equation models. J. Clin. Exp. Neuropsychol. 10: 623-639.
Gannon, L., Vaux, A., Rhodes, K., and Luchetta, T. (1992). A two-domain model of well-being: Everyday events, social support, and gender-related personality factors. J. Res. Person. 26: 288-301.
Ge, X., Conger, R. D., Lorenz, F. O., and Simons, R. L. (1994). Parents' stressful life events and adolescent depressed mood. J. Health Soc. Behav. 35: 28-44.
Gerbing, D. W., and Anderson, J. C. (1993). Monte Carlo evaluations of goodness-of-fit indices for structural equation models. In Bollen, K. A., and Long, J. S. (eds.), Testing Structural Equation Models, Sage, Newbury Park, CA, pp. 40-65.
Gerbing, D. W., and Hamilton, J. G. (1996). Viability of exploratory factor analysis as a precursor to confirmatory factor analysis. Struct. Eq. Model. 3: 62-72.
Gonzalez, R. V., Luna, R., Espejo, B., and Baeza, J. A. (1993). Discriminant validity of the Job-Related Tension Scale. Appl. Psychol. Int. Rev. 42: 67-76.
Hammer, M. R. (1987). Behavioral dimensions of intercultural effectiveness: A replication and extension. Int. J. Intercult. Relat. 11: 65-88.
Harlow, L. L. (1985). Behavior of Some Elliptical Theory Estimators with Non-normal Data in a Covariance Structures Framework: A Monte Carlo Study, Unpublished doctoral dissertation, University of California, Los Angeles.
Heath, A. C., Neale, M. C., Hewitt, J. K., Eaves, L. J., and Fulker, D. W. (1989). Testing structural equation models for twin data using LISREL. Behav. Genet. 19: 9-35.
Hobfoll, S. E. (1989). Conservation of resources: A new attempt at conceptualizing stress. Am. Psychol. 44: 513-524.
Hox, J. J. (1994). Applied Multilevel Analysis, TT-Publikaties, Amsterdam.
Hoyle, R. H. (1994). Structural equation modeling in clinical research [special section]. J. Consult. Clin. Psychol. 62: 427-521.
Hoyle, R. H. (1995). The structural equation modeling approach: Basic concepts and fundamental issues. In Hoyle, R. H. (ed.), Structural Equation Modeling: Concepts, Issues, and Applications, Sage, Thousand Oaks, CA, pp. 1-15.
Hoyle, R. H., and Panter, A. T. (1995). Writing about structural equation models. In Hoyle, R. H. (ed.), Structural Equation Modeling: Concepts, Issues, and Applications, Sage, Thousand Oaks, CA, pp. 158-176.
Hu, L.-T., and Bentler, P. M. (1995). Evaluating model fit. In Hoyle, R. H. (ed.), Structural Equation Modeling: Concepts, Issues, and Applications, Sage, Thousand Oaks, CA, pp. 76-99.
Hu, L.-T., Bentler, P. M., and Kano, Y. (1992). Can test statistics in covariance structure analysis be trusted? Psychol. Bull. 112: 351-362.
Huba, G. J., and Harlow, L. L. (1987). Robust structural equation models: Implications for developmental psychology. Child Dev. 58: 147-166.
Jaccard, J., and Wan, C. K. (1995). Measurement error in the analysis of interaction effects between continuous predictors using multiple regression: Multiple indicators and structural equation approaches. Psychol. Bull. 117: 348-357.
Jerusalem, M., and Schwarzer, R. (1989). Anxiety and self-concept as antecedents of stress and coping: A longitudinal study with German and Turkish adolescents. Person. Indiv. Diff. 10: 785-792.
Jöreskog, K. G. (1993). Testing structural equation models. In Bollen, K. A., & Long, J. S. (eds.), Testing Structural Equation Models, Sage, Newbury Park, CA, pp. 294-316.
Jöreskog, K. G., and Sörbom, D. (1981). LISREL 5: Analysis of Linear Structural Relationships by the Method of Maximum Likelihood, National Educational Resources, Chicago.
Jöreskog, K. G., and Sörbom, D. (1988). PRELIS: A Program for Multivariate Data Screening and Data Summarization. A Preprocessor for LISREL, 2nd ed., Scientific Software, Chicago.
Jöreskog, K. G., and Sörbom, D. (1993). LISREL 8: User's Reference Guide, Scientific Software, Chicago.
Kamarck, T. W., Jennings, J. R., Pogue-Geile, M., and Manuck, S. B. (1994). A multidimensional measurement model for cardiovascular reactivity: Stability and cross-validation in two adult samples. Health Psychol. 13: 471-478.
Kaplan, D. (1989). Model modification in covariance structure analysis: Application of the expected parameter change statistic. Multivar. Behav. Res. 24: 285-305.
Kaplan, D. (1990). Evaluating and modifying covariance structure models: A review and recommendation. Multivar. Behav. Res. 25: 137-155.
Kaplan, D. (1995). Statistical power in structural equation modeling. In Hoyle, R. H. (ed.), Structural Equation Modeling: Concepts, Issues, and Applications, Sage, Thousand Oaks, CA, pp. 100-117.
Kelloway, E. K., and Barling, J. (1990). Item content versus item wording: Disentangling role conflict and role ambiguity. J. Appl. Psychol. 75: 738-742.
Kessler, R. C., Kendler, K. S., Heath, A., Neale, M. C., and Eaves, L. J. (1992). Social support, depressed mood, and adjustment to stress: A genetic epidemiologic investigation. J. Person. Soc. Psychol. 62: 257-272.
King, D. W., King, L. A., Gudanowski, D. M., and Vreven, D. L. (1995). Alternative representations of war zone stressors: Relationships to posttraumatic stress disorder in male and female Vietnam veterans. J. Abnorm. Psychol. 104: 184-196.
King, J., Beals, J. Manson, S. M., and Trimble, J. E. (1992). A structural equation model of factors related to substance use among American Indian adolescents. Drugs Soc. 6: 253-268.
La Greca, A. M., and Stone, W. L. (1993). Social Anxiety Scale for Children—Revised: Factor structure and concurrent validity. J. Clin. Child Psychol. 22: 17-27.
Lazarus, R. S. (1991). Emotion and Adaptation, Oxford University Press, New York.
Lobel, M., and Dunkel-Schetter, C. (1990). Conceptualizing stress to study effects on health: Environmental, perceptual, and emotional components. Anxiety Res. 3: 313-330.
Lobel, M., Dunkel-Schetter, C., and Scrimshaw, S. C. (1992). Prenatal maternal stress and prematurity: A prospective study of socioeconomically disadvantaged women. Health Psychol. 11: 32-40.
Long, B. C., Kahn, S. E., and Schutz, R. W. (1992). Causal model of stress and coping: Women in management. J. Counsel. Psychol. 39: 227-239.
MacCallum, R. C. (1986). Specification searches in covariance structural modeling. Psychol. Bull. 100: 107-120.
MacCallum, R. C. (1995). Model specification: Procedures, strategies, and related issues. In Hoyle, R. H. (ed.), Structural Equation Modeling: Concepts, Issues, and Applications, Sage, Thousand Oaks, CA, pp. 16-36.
MacCallum, R. C., Roznowski, M., and Necowitz, L. B. (1992). Model modifications in covariance structure analysis: The problem of capitalization on chance. Psychol. Bull. 111: 490-504.
MacCallum, R. C., Wegener, D. T., Uchino, B. N., and Fabrigar, L. R. (1993). The problem of equivalent models in applications of covariance structural analysis. Psychol. Bull. 114: 185-199.
Marsh, H. W., and Balla, J. R. (1994). Goodness-of-fit indices in confirmatory factor analysis: The effect of sample size and model complexity. Quality Quantity 28: 185-217.
Marsh, H. W., Balla, J. R., and McDonald, R. P. (1988). Goodness-of-fit indices in confirmatory factor analysis: The effect of sample size. Psychol. Bull. 102: 391-410.
Marsh, H. W., Balla, J. R., and Hau, K.-T. (1996). An evaluation of incremental fit indices: A clarification of mathematical and empirical properties. In Marcoulides, G. A., and Schumacker, R. E.(eds.), Advanced Structural Equation Modeling: Issues and Techniques, Lawrence Erlbaum Associates, Mahwah, NJ, pp. 315-353.
Matt, G. M., and Dean, A. (1993). Social support from friends and psychological distress among elderly persons: Moderator effect of age. J. Health Soc. Behav. 34: 187-200.
McArdle, J. J. (1986). Latent variable growth within behavior genetic models. Behav. Genet. 16: 163-200.
McDonald, R. P., and Marsh, H. W. (1990). Choosing a multivariate model: Noncentrality and goodness-of-fit. Psychol. Bull. 107: 247-255.
Mulaik, S. A., James, L. R., Van Alstine, J., Bennett, N., Lind, S., and Stillwell, C. D. (1989). Evaluation of goodness-of-fit indices for structural equation models. Psychol. Bull. 105: 430-445.
Muthén, B. O. (1984). A general structural equation model with dichotomous, ordered categorical, and continuous latent variable indicators. Psychometrika 49: 115-132.
Muthén, B. O. (1987). LISCOMP: Analysis of Linear Structural Equations Using a Comprehensive Measurement Model—User's Guide, Scientific Software, Mooresville, IN.
Muthén, B. O. (1993). Goodness of fit with categorical and nonnormal variables. In Bollen, K. A., and Long, J. S. (eds.), Testing Structural Equation Models, Sage, Newbury Park, CA, pp. 205-234.
Neff, J. A. (1985). Race vulnerability to stress: An examination of differential vulnerability. J. Person. Soc. Psychol. 49: 481-491.
Newcomb, M. D. (1986). Nuclear attitudes and reactions: Associations with depression, drug use, and quality of life. J. Person. Soc. Psychol. 50: 906-920.
Newcomb, M. D. (1988). Nuclear anxiety and psychosocial functioning among young adults. Basic Appl. Soc. Psychol. 9: 107-134.
Newcomb, M. D., and Bentler, P. M. (1988). The impact of family context, deviant attitudes, and emotional distress on adolescent drug use: Longitudinal latent-variable analyses of mothers and their children. J. Res. Person. 22: 154-176.
Newcomb, M. D., Scheier, L. M., and Bentler, P. M. (1993). Effects of adolescent drug use on adult mental health: A prospective study of a community sample. Exp. Clin. Psychopharmacol. 1: 215-241.
Ping, R. A. (1996). Latent variable interaction and quadratic effect estimation: A two-step technique using structural equation analysis. Psychol. Bull. 119: 166-175.
Potthoff, J. G., Holahan, C. J., and Joiner, T. E., Jr. (1995). Reassurance seeking, stress generation, and depressive symptoms: An integrative model. J. Person. Soc. Psychol. 68: 664-670.
Ranchor, A. V., and Sanderman, R. (1991). The role of personality and socioeconomic status in the stress-illness relation: A longitudinal study. Eur. J. Person. 5: 93-108.
Raykov, T., and Widaman, K. F. (1995). Issues in applied structural equation modeling research. Struct. Eq. Model. 2: 289-318.
Raykov, T., Tomer, A., and Nesselroade, J. R. (1991). Reporting structural equation modeling results in Psychology and Aging: Some proposed guidelines. Psychol. Aging 6: 499-503.
Reise, S. P., Widaman, K. F., and Pugh, R. H. (1993). Confirmatory factor analysis and item response theory: Two approaches for exploring measurement invariance. Psychol. Bull. 114: 552-566.
Roosa, M. W., Beals, J., Sandler, I. N., and Pillow, D. R. (1990). The role of risk and protective factors in predicting symptomatology in adolescent self-identified children of alcoholic parents. Am. J. Commun. Psychol. 18: 725-741.
Sandler, I. N., Tein, J. Y., and West, S. G. (1994). Coping, stress, and the psychological symptoms of children of divorce: A cross-sectional and longitudinal study. Child Dev. 65: 1744-1763.
Satorra, A., and Bentler, P. M. (1988). Scaling corrections for chi-square statistics in covariance structure analysis. Proceedings of the Business and Economic Sections, American Statistical Association, Alexandria, VA, pp. 308-313.
Satorra, A., and Bentler, P. M. (1994). Corrections to test statistic and standard errors in covariance structure analysis. In Von Eye, A., and Clogg, C. C. (eds.), Latent Variable Analysis: Applications for Developmental Research, Sage, Thousand Oaks, CA, pp. 399-419.
Schaubroeck, J., Cotton, J. L., and Jennings, K. R. (1989). Antecedents and consequences of role stress: A covariance structure analysis. J. Organiz. Behav. 10: 35-58.
Schaubroeck, J., Ganster, D. C., and Fox, M. L. (1992). Dispositional affect and work-related stress. J. Appl. Psychol. 77: 322-335.
Schutz, R., and Long, B. C. (1988). Confirmatory factor analysis, validation and revision of a Teacher Stress Inventory. Educ. Psychol. Measure. 48: 497-511.
Shermis, M. D., Rudin, D., and Chandler, L. A. (1992). An extension of the norms for the Stress Response Scale for children. J. Psychoeduc. Assess. 10: 65-75.
Simons, R. L., Lorenz, F. O., Wu, C., and Conger, R. D. (1993). Social network and marital support as mediators and moderators of the impact of stress and depression on parental behaviors. Dev. Psychol. 29: 368-381.
Sobel, M. E., and Bohrnstedt, G. W. (1985). Use of models in evaluating the fit of covariance structural models. In Tuma, N. B. (ed.) Sociological Methodology, Jossey-Bass, San Francisco, CA, pp. 152-178.
Solberg, V. S., Hale, J. B., Villarreal, P., and Kavanagh, J. (1993). Development of the College Stress Inventory for use with Hispanic populations: A confirmatory analytic approach. Hispanic J. Behav. Sci. 15: 490-497.
Spirtes, P., Scheines, R., and Glymour, C. (1990). Simulation studies of the reliability of computeraided model specification using the TETRAD II, EQS, and LISREL programs. Sociol. Methods Res. 19: 3-66.
Spirtes, P., Scheines, R., Meek, C., and Glymour, C. (1994). TETRAD II: Tools for Causal Modeling, Lawrence Erlbaum Associates, Hillsdale, NJ.
Stacy, A. W., Newcomb, M. D., and Bentler, P. M. (1991). Social psychological influences on sensation seeking from adolescence to adulthood. Person. Soc. Psychol. Bull. 17: 701-108.
Steiger, J. H. (1989). EzPath: A Supplementary Module for SYSTAT and SYSGRAPH, SYSTAT, Evanston, IL.
Steiger, J. H., and Lind, J. C. (1980). Statistically-based tests for the number of common factors. Paper presented at the Annual Meeting of the Psychometric Society, Iowa City, IA.
Strauman, T. J., and Higgins, E. T. (1988). Self-discrepancies as predictors of vulnerability to distinct syndromes of chronic emotional distress. J. Person. 56: 685-707.
Tambs, K. (1991). Transmission of symptoms of anxiety and depression in nuclear families. J. Affect. Disord. 21: 117-126.
Tanaka, J. S. (1987). “How big is big enough?” Sample size and goodness of fit in structural equation models with latent variables. Child Dev. 58: 134-146.
Tanaka, J. S. (1993). Multifaceted conceptions of fit in structural equation models. In Bollen, K. A., and Long, J. S. (eds.), Testing Structural Equation Models, Sage, Newbury Park, CA, pp. 10-39.
Tanaka, J. S., and Huba, G. J. (1984). Confirmatory hierarchical factor analyses of psychological distress measures. J. Person. Soc. Psychol. 46: 621-635.
Tanaka, J. S., Panter, A. T., Winborne, W. C., and Huba, G. J. (1990). Theory testing in personality and social psychology with structural equation models: A primer in 20 questions. Rev. Person. Soc. Psychol. 11: 217-242.
Tucker, L. R., and Lewis, C. (1973). A reliability coefficient for maximum likelihood factor analysis. Psychometrika 38: 1-10.
Von Eye, A., and Clogg, C. C. (1994). Latent Variable Analysis: Applications for Developmental Research, Sage, Thousand Oaks, CA.
Wagner, E. (1993). Delay of gratification, coping with stress, and substance use in adolescence. Exp. Clin. Psychopharmacol. 1: 27-43.
West, S. G., Sandler, I., Pillow, D. R., Baca, L., and Gersten, J. C. (1991). The use of structural equation modeling in generative research: Toward the design of a preventative intervention for bereaved children. Am. J. Commun. Psychol. 19: 459-480.
West, S. G., Finch, J. F., and Curran, P. J. (1995). Structural equation models with nonnormal variables: Problems and remedies. In Hoyle, R. H. (ed.), Structural Equation Modeling: Concepts, Issues, and Applications, Sage, Thousand Oaks, CA, pp. 56-75.
Willett, J. B., and Sayer, A. G. (1996). Cross-domain analyses of change over time: Combining growth modeling and covariance structural analysis. In Marcoulides, G. A., and Schumacker, R. E. (eds.), Advanced Structural Equation Modeling: Issues and Techniques, Lawrence Erlbaum Associates, Mahwah, NJ, pp. 125-157.
Williams, L. J., Bozdogan, H., and Aiman-Smith, L. (1996). Inference problems with equivalent models. In Marcoulides, G. A., and Schumacker, R. E. (eds.), Advanced Structural Equation Modeling: Issues and Techniques, Lawrence Erlbaum Associates, Mahwah, NJ, pp. 279-314.
Windle, M. (1989). Predicting temperament-mental health relationships: A covariance structure latent variable analysis. J. Res. Person. 23: 118-144.
Wothke, W. (1993). Nonpositive definite matrices in structural models. In Bollen, K. A., and Long, J. S. (eds.), Testing Structural Equation Models, Sage, Newbury Park, pp. 256-293.
Zautra, A. J., Marbach, J. J., Raphael, K. G. Dohrenwend, B. P., Lennon, M. C., and Kenny, D. A. (1995). The examination of myofacial face pain and its relationship to psychological distress among women. Health Psychol. 14: 223-231.
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Roesch, S.C. Modeling Stress: A Methodological Review. J Behav Med 22, 249–269 (1999). https://doi.org/10.1023/A:1018720507420
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DOI: https://doi.org/10.1023/A:1018720507420