A Step-by-Step Approach to Using SAS for Factor Analysis and - download pdf or read online

By Larry Hatcher, Norm O'Rourke

ISBN-10: 1612903878

ISBN-13: 9781612903873

This easy-to-understand advisor makes SEM obtainable to all clients. This moment variation comprises new fabric on sample-size estimation for direction research and structural equation modeling. in one straightforward quantity, scholars and researchers will locate the entire details they wish so that it will grasp SAS fundamentals earlier than relocating directly to issue research, direction research, and different complex statistical strategies.

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Additional resources for A Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling (2nd Edition)

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Chapter 1: Principal Component Analysis 15 Factor Pattern Factor1 Factor2 V1 58 * 70 * V2 48 * 53 * V3 60 * 62 * V4 64 * -64 * V5 68 * -45 * V6 68 * -46 * Printed values are multiplied by 100 and rounded to the nearest integer. 4 are flagged by an '*'. 76914 Rotated Factor Pattern Factor1 Factor2 V1 0 91 * V2 3 71 * V3 7 86 * V4 90 * -9 V5 81 * 9 V6 82 * 8 Printed values are multiplied by 100 and rounded to the nearest integer. 4 are flagged by an '*'. O’Rourke, Norm, and Larry Hatcher. A Step-by-Step Approach to Using SAS® for Factor Analysis and Structural Equation Modeling, Second Edition.

The following are the subsequent lines that will then create a new dataset called D2. This dataset will include all of the variables in D1 as well as the newly created factor-based scales called GIVING and HELPING. ❶ ❷ ❸ ❹ ❺ ❻ data D2; set D1; GIVING HELPING = (V4 + V5 + V6); = (V1 + V2 + V3); proc corr data=D2; var GIVING HELPING; run; Lines ❶ and ❷ request that a new dataset be created called D2, and that it be set up as a duplicate of existing dataset D1. On line ❸, the new variable called GIVING is created.

Cary, North Carolina, USA. ALL RIGHTS RESERVED. com/bookstore. Chapter 1: Principal Component Analysis 23 characteristic of simple structure is that each component should have high loadings for some variables and near-zero loadings for the others. The pattern obtained here also meets this requirement: component 1 has high loadings for items 4 to 6 and near-zero loadings for the other items whereas component 2 has high loadings for items 1 to 3 and near-zero loadings on the remaining items. In short, the rotated component pattern obtained in this analysis does appear to demonstrate simple structure.

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A Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling (2nd Edition) by Larry Hatcher, Norm O'Rourke


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