Structural Equation Methods G89 2247 001 Spring 2006 Prof Patrick Shrout pat shrout nyu edu Extension 87895 Office 308 Office Hours M 3 4PM Th 11 30AM 12 30PM Lab Assistant Hulda Thorisdottir Hulda nyu edu Extension 87678 Office 558 Office Hours M 11AM 12 Class Meets Lab session Monday 4 20 6 10 Wed 11AM 12 Web Blackboard Shrout Goals Students will become familiar with the rationale of covariance structure analysis causal models model identification goodness of fit and estimation They will apply and critique structural equation methods for studying associations among sets of variables in a series of empirical exercises They will design and execute a structural equation analysis of a problem of their own choosing and will write a report of results that would be appropriate for publication in a social science journal or monograph Primary Texts Kline R B 2005 Principles and practice of Structural Equations Modeling Second Edition New York Guilford Hoyle R H ed 1995 Structural Equation Modeling Thousand Oaks CA Sage Recommended Bollen K A 1989 Structural equations with latent variables New York Wiley Requirements Students are responsible for readings and material covered in lectures as well as regular assignments Students are also asked to identify a scientific problem of their own for which structural equation methods are appropriate to carry out a complete analysis and to write a report of the results 12 15 pages in the style of journal methods and results sections There will be no exams but students will be asked to make presentations of their final project to the class The final grade will be based 60 on assignments and 40 on final project Mon lect Topic 01 23 06 01 30 06 02 06 06 02 13 06 02 20 06 02 27 06 03 06 06 03 13 06 03 20 06 03 27 06 04 03 06 04 10 06 04 17 06 04 24 06 05 01 06 05 08 06 A1 A2 A3 A4 A5 Reading lab activity Overview causality Background SEM basics SEM estimation Testing Fit Meas Models CFA Hybrid models Spring break Nonrecursive Models Means Models Categorical Data B 449 465 A1 A2 K 1 62 K 63 122 K 123 164 H 76 99 A3 A4 K 165 208 K 209 234 SEM software 1 SEM software 2 SEM recursive models Fit analyses CFA Hybrid Models K 237 263 H 16 36 K 263 288 A5 B 433 447 Identification issues Latent growth model Categorical software Special Models Writing Results Reading literature Presentations Presentations K 289 312 325 337 H 158 176 K 313 324 Various Multiple group Peer consultation Project consultation Presentations Hoyle 1994 Holland 86 Hu Bentler 1999 Marsh Hau Wen 2004 Willett Sayer 1994 Other Readings Holland P 1986 Statistics and causal inference with discussion Journal of the American Statistical Association 81 945 970 Hoyle R H and G T Smith 1994 Formulating clinical research hypotheses as structural equation models A conceptual overview Journal of Consulting and Clinical Psychology 62 3 429 440 Hu L T Bentler P M 1999 Cutoff criteria for fit indexes in covariance structure analysis Conventional criteria versus new alternatives Structural Equation Modeling 6 1 55 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 over generalizing Hu Bentler s 1999 findings Structural Equation Modeling 11 320 341 McDonald R P Ho M H R 2002 Principles and practice in reporting structural equation analyses Psychological Methods 7 64 82 Willett J B and A G Sayer 1994 Using covariance structure analysis to detect correlates and predictors of individual change over time Psychological Bulletin 116 2 363 381 Other References Byrne Barbara M 1994 Structural Equation Modeling with EQS and EQS WINDOWS Basic Concepts Applications and Programming Thousand Oaks Sage Byrne Barbara M 2001 Structural Equation Modeling with AMOS Basic Concepts Applications and Programming Mahwah NJ Erlbaum Byrne Barbara M 1998 Structural Equation Modeling with LISREL PRELIS and SIMPLIS Basic Concepts Applications and Programming Mahwah NJ Erlbaum Bollen K Lennox R 1991 Conventional wisdom on measurement A structural equation perspective Psychological Bulletin 110 305 314 Bollen K Paxton 1998 Interactions of Latent Variables in Structural Equation Modeling Structural Equation Modeling 5 3 267 293 Jaccard James and Choi K Wan 1996 LISREL Approaches to Interaction Effects in Multiple Regression Sage University Paper series on Quantitative Applications in the Social Sciences 07 114 Thousand Oaks CA Sage J reskog Karl G and Dag S rbom 1996 LISREL8 Users Reference Guide Chicago SSI Inc Olsson Foss Troye and Howell 2000 The performance of ML GLS and WLS Estimation in Structural Equation Modeling Under Conditions of Misspecification and Nonnormality Structural Equation Modeling 7 557 596 Pearl Judea 2000 Causality Models Reasoning and Inference New York Cambridge University Press Other Resources Join an online discussion group of SEM which includes novices and experts This is free http www gsu edu mkteer semnet html Subscribe to Structural Equation Modeling which covers both theory and applications 50 year http www leaonline com loi sem