![]() ![]() Introduction: Basic Ideas of LISREL-Models Starting Point: Multiple Regression Equation: Y1 = β0 + β1⋅X1+ β2⋅X2+ β3⋅X3+E1Įquation after subtracting means: (Y − y) = β1 ⋅ (X1 − x1 ) + β 2 ⋅ (X 2 − x 2 ) + β3 ⋅ (X 3 − x 3 ) + E1 Y1 Introduction and Organization of the Course The Logic of Linear Modeling Before LISREL: Preparing data with PRELIS Using LISREL: SIMPLIS and LISREL-Language Simulation and Bootstrapping with LISREL a) Causality and Effect Decomposition b) Reliability, Validity and the Consequences of Measurement Errors Identification and Estimation Statistical Tests and Evaluation of Structural Equation Models Multi-Sample Analysis and Structured Means Coping with Ordinal Indicators Analyzing Panel Data Interaction and Non-Linearity Summary ![]()
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