Analysis of Multivariate Social Science Data

ISBN-10: 1584889608
ISBN-13: 9781584889601
Edition: 2nd 2011 (Revised)
List price: $85.95 Buy it from $59.78
eBook available
This item qualifies for FREE shipping

*A minimum purchase of $35 is required. Shipping is provided via FedEx SmartPost® and FedEx Express Saver®. Average delivery time is 1 – 5 business days, but is not guaranteed in that timeframe. Also allow 1 - 2 days for processing. Free shipping is eligible only in the continental United States and excludes Hawaii, Alaska and Puerto Rico. FedEx service marks used by permission."Marketplace" orders are not eligible for free or discounted shipping.

30 day, 100% satisfaction guarantee

If an item you ordered from TextbookRush does not meet your expectations due to an error on our part, simply fill out a return request and then return it by mail within 30 days of ordering it for a full refund of item cost.

Learn more about our returns policy

Description: Multivariate analysis is an important tool in the social sciences, but it can be technical for those with a limited statistical background. Requiring minimal statistical knowledge, Analysis of Multivariate Social Science Data provides an accessible  More...

New Starting from $76.75
eBooks Starting from $34.38
Rent
Buy
what's this?
Rush Rewards U
Members Receive:
coins
coins
You have reached 400 XP and carrot coins. That is the daily max!
You could win $10,000

Get an entry for every item you buy, rent, or sell.

Study Briefs

Limited time offer: Get the first one free! (?)

All the information you need in one place! Each Study Brief is a summary of one specific subject; facts, figures, and explanations to help you learn faster.

Add to cart
Study Briefs
Calculus 1 Online content $4.95 $1.99
Add to cart
Study Briefs
Algebra Online content $4.95 $1.99
Add to cart
Study Briefs
Introduction to Logic Online content $4.95 $1.99
Add to cart
Study Briefs
Business Math Formulas Online content $4.95 $1.99

Customers also bought

Loading
Loading
Loading
Loading
Loading
Loading
Loading
Loading
Loading
Loading

Book details

List price: $85.95
Edition: 2nd
Copyright year: 2011
Publisher: CRC Press LLC
Publication date: 6/4/2008
Binding: Paperback
Pages: 384
Size: 6.00" wide x 9.25" long x 1.00" tall
Weight: 1.166
Language: English

Multivariate analysis is an important tool in the social sciences, but it can be technical for those with a limited statistical background. Requiring minimal statistical knowledge, Analysis of Multivariate Social Science Data provides an accessible introduction to multivariate data analysis for the social sciences. This second edition features additional material on confirmatory factor analysis, structural equation modeling, and multilevel modeling. In addition to a wide range of worked examples, an abundance of end-of-chapter exercises, and a comprehensive appendix of solutions, the text includes an enhanced software section with data sets as well as code available on the web.

Preface
Setting the Scene
Structure of the book
Our limited use of mathematics
Variables
The geometry of multivariate analysis
Use of examples
Data inspection, transformations, and missing data
Reading
Cluster Analysis
Classification in social sciences
Some methods of cluster analysis
Graphical presentation of results
Derivation of the distance matrix
Example on English dialects
Comparisons
Clustering variables
Additional examples and further work
Further reading
Multidimensional Scaling
Introduction
Examples
Classical, ordinal, and metrical multidimensional scaling
Comments on computational procedures
Assessing fit and choosing the number of dimensions
A worked example: dimensions of colour vision
Additional examples and further work
Further reading
Correspondence Analysis
Aims of correspondence analysis
Carrying out a correspondence analysis: a simple numerical example
Carrying out a correspondence analysis: the general method
The biplot
Interpretation of dimensions
Choosing the number of dimensions
Example: confidence in purchasing from European Community countries
Correspondence analysis of multiway tables
Additional examples and further work
Further reading
Principal Components Analysis
Introduction
Some potential applications
Illustration of PCA for two variables
An outline of PCA
Examples
Component scores
The link between PCA and multidimensional scaling, and between PCA and correspondence analysis
Using principal component scores to replace the original variables
Additional examples and further work
Further reading
Regression Analysis
Basic ideas
Simple linear regression
A probability model for simple linear regression
Inference for the simple linear regression model
Checking the assumptions
Multiple regression
Examples of multiple regression
Estimation and inference about the parameters
Interpretation of the regression coefficients
Selection of regressor variables
Transformations and interactions
Logistic regression
Path analysis
Additional examples and further work
Further reading
Factor Analysis
Introduction to latent variable models
The linear single-factor model
The general linear factor model
Interpretation
Adequacy of the model and choice of the number of factors
Rotation
Factor scores
A worked example: the test anxiety inventory
How rotation helps interpretation
A comparison of factor analysis and principal components analysis
Additional examples and further work
Software
Further reading
Factor Analysis for Binary Data
Latent trait models
Why is the factor analysis model for metrical variables invalid for binary responses?
Factor model for binary data using the Item Response Theory approach
Goodness-of-fit
Factor scores
Rotation
Underlying variable approach
Example: sexual attitudes
Additional examples and further work
Software
Further reading
Factor Analysis for Ordered Categorical Variables
The practical background
Two approaches to modelling ordered categorical data
Item response function approach
Examples
The underlying variable approach
Unordered and partially ordered observed variables
Additional examples and further work
Software
Further reading
Latent Class Analysis for Binary Data
Introduction
The latent class model for binary data
Example: attitude to science and technology data
How can we distinguish the latent class model from the latent trait model?
Latent class analysis, cluster analysis, and latent profile analysis
Additional examples and further work
Software
Further reading
Confirmatory Factor Analysis and Structural Equation Models
Introduction
Path diagram
Measurement models
Adequacy of the model
Introduction to structural equation models with latent variables
The linear structural equation model
A worked example
Extensions
Additional examples and further work
Software
Further reading
Multilevel Modelling
Introduction
Some potential applications
Comparing groups using multilevel modelling
Random intercept model
Random slope model
Contextual effects
Multilevel multivariate regression
Multilevel factor analysis
Additional examples and further work
Further topics
Estimation procedures and software
Further reading
References
Index

×
Free shipping on orders over $35*

*A minimum purchase of $35 is required. Shipping is provided via FedEx SmartPost® and FedEx Express Saver®. Average delivery time is 1 – 5 business days, but is not guaranteed in that timeframe. Also allow 1 - 2 days for processing. Free shipping is eligible only in the continental United States and excludes Hawaii, Alaska and Puerto Rico. FedEx service marks used by permission."Marketplace" orders are not eligible for free or discounted shipping.

Learn more about the TextbookRush Marketplace.

×