SEM Readings Resources NK Bowen

8/18/2019 SEM Readings Resources NK Bowen

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List of Resource Readings on SEM(with brief annotations)

Allison, P. D. (2003). Missing data techniques for structural equation modeling. Journal of Abnormal Psychology, 112, 545-557.

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Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A reviewand recommended two-step approach. Psychological Bulletin, 103 (3), 411-423.

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Bowen, N. K., & Guo, S. (2011). Structural equation modeling. New York, NY: OxfordUniversity Press.

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Bower, H. A., Bowen, N. K., & Powers, J. D. (2011). Family-faculty trust as measured with theESSP. Children & Schools, 33 , 158-167.

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Byrne, B. M. (2010). Structural equation modeling with Amos: Basic concepts, applications, and programming (2nd ed.). New York, NY: Taylor and Francis Group.

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Byrne, B. M. (2010). Structural equation modeling with Mplus: Basic concepts, applications,and programming . New York, NY: Taylor and Francis Group.

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Fox, J. (1980). Effect analysis in strucural equation models: Extensions and simplified methodsof computation. Sociological Methods and Research, 9 (1), 3-28.doi:10.1177/0049124185014001005

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Gerbing, D. W., & Anderson, J. C. (1984). On the meaning of within-factor correlatedmeasurement errors. Journal of Consumer Research, 11 , 572-580.

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Graham, J. W. (2009). Missing data analysis: Making it work in the real world. Annual Review of Psychology, 60 , 549-576.

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Hayduk, L. A., & Glaser, D. N. (2000). Jiving the four-step, waltzing around factor analysis, andother serious fun. Structural Equation Modeling, 7 (1), 1-35.doi:10.1207/S15328007SEM0701_01

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Hoyle, Rick. H. (Ed.) (2012). Handbook of structural equation modeling. New York, NY:Guilford Press.

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Iacobucci, D. (2009). Everything you always wanted to know about SEM (structural equationmodeling) but were afraid to ask. Journal of Consumer Psychology, 19 , 673-680.

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Jöreskog, K. G. (1993). Testing structural equation models. In K. Bollen, & J. S. Long(Eds.), Testing structural equation models (pp. 294-316). Newbury Park: SagePublications.

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Jöreskog, K. G. (2005). Structural equation modeling with ordinal variables using LISREL. Scientific Software International.! $)1#&," -#).) %& ,&,"JH#&3 -%"J./%(#. .%(()",0#%& 1,0(#.)$ +/)& 2,0, ,() %(2#&,"5 AJ 0/)

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Jöreskog, K. G. (1971). Simultaneous factor analysis in several populations. Psychometrika ,36 (4), 409-426.

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Kano, Y., & Azuma, Y. (n.d.). Use of SEM programs to precisely measure scale reliability .retrieved April 20, 2014 from, http://www.sigmath.es.osaka-

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Kaplan, D. (2009). Structural equation modeling: Foundations and extensions (2nd ed.).Thousand Oaks, CA: Sage Publications, Inc.

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MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis anddetermination of sample size for covariance structure modeling. Psychological Methods,1, 130-149.

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Muthén, L. K., & Muthén, B. O. (2010). Http://statmodel.com/ G/)


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Tomarken, A. J., & Waller, N. G. (2005). Structural equation modeling: Strengths, limitations,

and misconceptions. Annual Review of Clinical Psychology, 1 , 31-65.doi:10.1146/annurev.clinpsy.1.102803.144239

Wegmann, K. M., Thompson, A. M., & Bowen, N. K. (2010). A confirmatory factor analysis ofhome environment and home social behavior data from the ESSP for Families. SocialWork Research, 35 , 65-128.

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SEM Readings Resources NK Bowen

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