A Step-by-Step Approach to Using SAS for Factor Analysis and by Larry Hatcher, Norm O'Rourke

By Larry Hatcher, Norm O'Rourke

This easy-to-understand advisor makes SEM available to all clients. This moment version includes new fabric on sample-size estimation for course research and structural equation modeling. in one straightforward quantity, scholars and researchers will locate all of the info they want for you to grasp SAS fundamentals prior to relocating directly to issue research, direction research, and different complex statistical methods.

Show description

Read or Download A Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling (2nd Edition) PDF

Best statistics books

Radar-Sonar Signal Processing and Gaussian Signals in Noise (Detection, Estimation, and Modulation Theory, Part III)

* Paperback reprint of 1 of the main revered classics within the background of engineering publication
* including the reprint of half I and the recent half IV, this may be the main whole remedy of the topic available
* offers a highly-readable dialogue of sign Processing and Noise
* beneficial properties a number of difficulties and illustrations to aid advertise realizing of the topics
* Contents are hugely acceptable to present systems

Scanned searchable PDF, kind of excessive quality.

Encyclopedia of Measurement and Statistics, Volumes 1-3

The Encyclopedia of dimension and information provides state of the art details and ready-to-use proof from the fields of dimension and data in an unintimidating type. the guidelines and instruments contained in those pages are approachable and will be worthy for figuring out our very technical international and the expanding stream of knowledge.

Spatial Statistics and Models

The quantitative revolution in geography has handed. The lively debates of the previous a long time have, in a single feel, been resolved through the inclusion of quantitative thoughts into the common geographer's set of methodological instruments. a brand new decade is upon us. in the course of the quantitative revolution, geographers ransacked comparable disciplines and arithmetic on the way to locate instruments that can be acceptable to difficulties of a spatial nature.

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

Example text

00 accounts for less variance than contributed by one variable. The purpose of principal component analysis is to reduce a number of observed variables into a relatively smaller number of components. This cannot be effectively achieved if you retain components that account for less variance than had been contributed by individual variables. 00 are viewed as trivial and are not retained. The eigenvalue-one criterion has a number of positive features that contribute to its utility. Perhaps the most important reason for its use is its simplicity.

O’Rourke, Norm, and Larry Hatcher. A Step-by-Step Approach to Using SAS® for Factor Analysis and Structural Equation Modeling, Second Edition. , Cary, North Carolina, USA. ALL RIGHTS RESERVED. com/bookstore. 22 A Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling, Second Edition 5. Read across the row for the first variable. 40) have been flagged with an asterisk (“*”). 40 option in the preceding program. If a given variable has a meaningful loading on more than one component, cross out that variable and ignore it in your interpretation.

A Step-by-Step Approach to Using SAS® for Factor Analysis and Structural Equation Modeling, Second Edition. , Cary, North Carolina, USA. ALL RIGHTS RESERVED. com/bookstore. 32 A Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling, Second Edition _____ _____ _____ _____ _____ _____ _____ _____ _____ 1. 2. 3. 4. 5. 6. 7. 8. 9. I am satisfied with my current relationship. My current relationship comes close to my ideal relationship. I am more satisfied with my relationship than the average person.

Download PDF sample

Rated 4.03 of 5 – based on 34 votes