Amos in print

• Arbuckle, J.L. (1989) AMOS: Analysis of moment structures. The American Statistician, 43, 66-67.
• Arbuckle, J.L. (1994) AMOS: Analysis of moment structures. Psychometrika, 59, 135-137.
• Arbuckle, J.L. (1995) Amos for Windows. Analysis of moment structures (Version 3.5). Chicago, IL: SmallWaters.
• Arbuckle, J.L. (1996) Full information estimation in the presence of incomplete data. In G.A. Marcoulides and R.E. Schumacker [Eds.] Advanced structural equation modeling: Issues and Techniques. Mahwah, NJ: Lawrence Erlbaum Associates.
• Brill, J.E. (1994) Beyond managerial opportunism: Supplier power and managerial compliance in a franchised marketing channel. Journal of Business Research, 30, 211-223.
• Burns, D.D. and Eidelson, R.J. (1998) Why are depression and anxiety correlated? A test of the tripartite model. Journal of Consulting and Clinical Psychology, 66(3), 461-473.
• Burns, D.D. and Spangler, D. (in press). Does psychotherapy homework lead to changes in depression in cognitive behavioral therapy? Or does clinical improvement lead to homework compliance? Journal of Consulting and Clinical Psychology.
• Capaldi, D.M. and Clark S.L. (in press) Prospective family predictors of aggression toward female partners for young at-risk males. Journal of Developmental Psychology.
• Dexter, F., Lubarsky, D.A., Macario, A. and Burns, D.D. (in press). Application of structural equation modeling and Monte-Carlo simulation to the analysis of day to day variability in operating room utilization. Anesthesiology.
• Duncan, T.E., Duncan, S.C. and Li, F. (1998) A comparison of model- and multiple imputation-based approaches to longitudinal analyses with partial missingness. Structural Equation Modeling: A Multidisciplinary Journal, 5(1), 1-21.
• Evans, C. (1992) Could 'objective, experimental' analysis of human motivation really improve psychotherapy? British Journal of Medical Psychology, 65, 245-254.
• Fouladi, R.T. (1998) Covariance structure analysis techniques under conditions of multivariate normality and nonnormality--modified and bootstrap based test statistics. Paper presented at the annual meeting of the American Educational Research Association, San Diego, April 14, 1997.
• Garson, G.D. (1977) WinAMOS. Social Science Computer Review, 15(3), 314-318.
• Graham, J. W., Hofer, S.M., Donaldson, S.I., MacKinnon, D.P. and Schafer, J.L. (1997). Analysis with missing data in prevention research. In K. Bryant, M. Windle and S. West (Eds.), The science of prevention: methodological advances from alcohol and substance abuse research. (pp. 325-366). Washington, DC: American Psychological Association.
• Graham, J. W., Hofer, S. M. and MacKinnon, D. P. (1996). Maximizing the usefulness of data obtained with planned missing value patterns: An application of maximum likelihood procedures. Multivariate Behavioral Research, 31, 197-218.
• Gustafsson, J.E. and Stahl, P.A. (1997) STREAMS User's Guide. Version 1.7 for Windows. Mölndal, Sweden: MultivariateWare.
• Hawkins, J.D., Graham, J.W., Maguin, E., Abbott, R., Hill, K.G., and Catalano, R.F. (in press) Exploring the effects of age of alcohol use initiation and psychosocial risk factors on subsequent alcohol misuse. Journal of Studies on Alcohol.
• Heyder, A. and Schmidt, P. (2000) Autoritäre Einstellung und Ethnozentrismus. Welchen Einfluss hat die Schulbildung? In: S. Rippl, C. Seipel und A. Kindervater (Eds.), Autoritarismus. Ansätze und Kontroversen der aktuellen Autoritarismusforschung. Opladen: Leske & Budrich.
• Hox, J.J. (1995) Amos, EQS, and LISREL for Windows: A comparative review. Structural Equation Modeling, 2, 79-91.
• Hox, J.J. (1995) Covariance structure modeling in Windows: A multitrait-multimethod analysis using Amos, EQS, and LISREL. Bulletin de Méthodologie Sociologique, 46, 71-87.
• Kano, Y. (1997) Software. Behaviormetrika, 24(1), 85-125.
• Keith, T. Z. (1997). Using confirmatory factor analysis to aid in understanding the constructs measured by intelligence tests. In D. P. Flanagan, J. L. Genshaft, and P. L. Harrison [Eds.], Contemporary intellectual assessment: Theories, tests, and issues (pp. 373-402). New York: Guilford.
• Keith, T. Z. (in press). Structural equation modeling in school psychology. In C. R. Reynolds and T. B. Gutkin [Eds.], The handbook of school psychology (3rd ed.). New York: Wiley.
• Keith, T. Z., Fugate, M. H., DeGraff, M., Diamond, C. M., Shadrach, E. A. and Stevens, M. L. (1995). Using multi-sample confirmatory factor analysis to test for construct bias: An example using the K-ABC. Journal of Psychoeducational Assessment, 13, 347-364.
• Keith, T. Z., Keith, P. B., Quirk, K. J., Cohen-Rosenthal, E. andFranzese, B. (1996). Effects of parental involvement for students who attend school in rural America: Structural equation modeling with national data. Journal of Research in Rural Education, 12, 55-67.
• Keith, T. Z., Keith, P. B., Quirk, K. J., Sperduto, J., Santillo, S. and Killings, S. (in press). Longitudinal effects of parent involvement on high school grades: Similarities and differences across gender and ethnic groups. Journal of School Psychology.
• King, D.W., Leskin, G.A., King, L.A., and Weathers, F.W. (in press) Confirmatory factor analysis of the clinician-administered PTSD scale: Evidence for the dimensionality of posttraumatic stress disorder. Psychological Assessment.
• Kleban, M.H., Lawton, M.P., Nesselroade, J.R., and Parmelee, P. (1992) The structure of variation in affect among depressed and nondepressed elders. Journal of Gerontology: Psychological Sciences, 47, 190-198.
• Kline, R.B. (1998) Principles and practice of structural equation modeling. New York, NY: Guilford Publications.
• Kline, R.B., (1998) Software programs for structural equation modeling: Amos, EQS, and LISREL. Journal of Psychoeducational Assessment, 16, 343-364.
• Konrad, A.M. and Brown, D.W. (1993) Task complexity, dependency relationships and influence: the case of nurses in a general hospital. Sociological Focus, 26, 203-226.
• Lawrence, F.R. and Akey, T. (1998) Multi-level models under conditions of non-normality. Paper presented at the annual meeting of the American Educational Research Association, San Diego, April 14, 1997.
• Lawton, M.P., Moss, M., KLeban, M.H., GLicksman, A., and Rovine, M. (1991) A two-factor model of caregiving appraisal and psychological well-being. Journal of Gerontology: Psychological Sciences, 46, 181-189.
• Lawton, M.P., Kleban, M.H., Dean, J., Rajagopal, D. and Parmelee, P.A. (1992) The factorial generality of brief positive and negative affect measures. Journal of Gerontology: Psychological Sciences, 47, 228-237.
• Marsh, H.W. (1998) Pairwise deletion for missing data in structural equation models: Nonpositive definite matrices, parameter estimates, goodnes of fit, and adjusted samples sizes. Structural Equation Modeling: A Multidisciplinary Journal, 5(1), 22-36.
• Maruyama, G.M. (1998) Basics of structural equation modeling. Thousand Oaks, CA: Sage.
• McGrew, K. S., Flanagan, D. P., Keith, T. Z., and Vanderwood, M. (1997). Beyond g: The impact of Gf-Gc specific cognitive abilities research on the future use and interpretation of intelligence test batteries in the schools. School Psychology Review, 26, 189-210.
• Miles, J.N.V. and Shevlin, M.E. (1998) Multiple softwares review: Drawing path diagrams. Structural Equation Modeling: A Multidisciplinary Journal, 5(1), 95-103.
• Moneyham, L., Seals, B., Sowell, R., Hennessy, M., Demi, A., and Brake, S. (1997) The impact of HIV on emotional distress of infected women: Cognitive appraisal and coping as mediators. Scholarly Inquiry for Nursing Practice: An International Journal, 11 (2), 125-145.
• Nevitt, J. and Hancock, G.R. (1998) Relative performance of rescaling and resampling approaches to model chi-square and parameter standard error estimation in structural equation modeling. Paper presented at the annual meeting of the American Educational Research Association, San Diego, April 14, 1997.
• Owens, A. and Newbegin, I. (in press) Procrastination in high school achievement: A causal structural model. Journal of Social Behaviour and Personality.
• Prave, R.S. and Baril, G.L. (1993) Instructor ratings: controlling for bias from initial student interest. Journal of Education for Business, 68, 362-366.
• Pruchno, R.A., Kleban, M.H., Michaels, J.E. and Dempsey, N.P. (1990) Mental and physical health of caregiving spouses: development of a causal model. Journal of Gerontology: Psychological Sciences, 45, 192-199.
• Pruchno, R.A. and Kleban, M.H. (1993) Caring for an institutionalized parent: the role of coping strategies. Psychology and Aging, 8, 18-25.
• Rigdon, E.E. (1994) Amos and AmosDraw. Structural Equation Modeling: A Multidisciplinary Journal, 1, 196-201.
• Rigdon, E.E. (1996) Amos 3.51. Structural Equation Modeling: A Multidisciplinary Journal, 3, 87-91.
• Rosen, M. (1998) Gender differences in hierarchically ordered ability dimensions: The impact of missing data. Structural Equation Modeling: A Multidisciplinary Journal, 5(1), 37-62.
• Schmidt, P., Bandilla, W., Glöckner-Rist, A., and Heyder, A. (1997) Modellierung und Dokumentation sozialwissenschaftlicher Theorien und Operationalisierungen mit dem ZUMA-Informationssystem (ZIS): Ein Systementwurf. ZUMA Nachrichten, 41, 73-99.
• Schmidt, P. and Heyder, P. (2000) Wer neigt eher zu autoritärer Einstellung und Ethnozentrismus, die Ost- oder die Westdeutschen? Eine Analyse mit Strukturgleichungsmodellen. In: R. Alba, P. Schmidt and M. Wasmer (Eds.) Deutsche und Ausländer: Freunde, Fremde oder Feinde? Theoretische Erklärungen und empirische Befunde. Blickpunkt Gesellschaft. Band 5. Wiesbaden: Westdeutscher Verlag.
• Spangler, D. and Burns, D.D. (1999). Are dysfunctional attitudes and attributional style the same or different? Behavior Therapy 30, 239-252.
• Wothke, W. (1996) Models for multitrait-multimethod matrix analysis. In G.A. Marcoulides and R.E. Schumacker [Eds.] Advanced structural equation modeling: Issues and techniques. Mahwah, NJ: Lawrence Erlbaum Associates.
• Wothke, W. (2000) Longitudinal and multi-group modeling with missing data. In T.D. Little, K.U. Schnabel, and J. Baumert [Eds.] Modeling longitudinal and multilevel data: Practical issues, applied approaches and specific examples. Mahwah, NJ: Lawrence Erlbaum Associates (also available at http://www.smallwaters.com/whitepapers/).
• Wothke, W. and Arbuckle, J.L. (1996) Full-information missing data analysis with Amos. In F. Faulbaum and W. Bandilla [Eds.] Softstat '95: Advances in statistical software 5. Stuttgart, Germany: Lucius and Lucius.
• Youngman, M. (1998) Trends in educational measurement and research methodology. In D. Shorrocks-Taylor [Ed.] Directions in Educational Psychology. London, UK: Whurr Publishers Ltd.
• Zuroff, D.C., Pilkonis, P.A., Blatt, S.J., Sanislow, C.A., and Bondi, C.M. (1999). Vulnerability to depression: Reexamining state dependence and relative stability. Journal of Abnormal Psychology 108(1), 76-89.

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