or
Sign in to turn on 1-Click ordering.
or
Amazon Prime Free Trial required. Sign up when you check out. Learn More
More Buying Choices
Have one to sell? Sell yours here
Categorical Variables in Developmental Research: Methods of Analysis
 
 
Tell the Publisher!
I'd like to read this book on Kindle

Don't have a Kindle? Get your Kindle here, or download a FREE Kindle Reading App.

Categorical Variables in Developmental Research: Methods of Analysis [Hardcover]

Alexander von Eye (Editor), Clifford C. Clogg (Editor)

Price: $142.00 & this item ships for FREE with Super Saver Shipping. Details
o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o
In Stock.
Ships from and sold by Amazon.com. Gift-wrap available.
Only 2 left in stock--order soon (more on the way).
Want it delivered Tuesday, February 14? Choose One-Day Shipping at checkout. Details
Textbook Student FREE Two-Day Shipping for students on millions of items. Learn more


Book Description

February 2, 1996 0127249656 978-0127249650 1
This book provides developmental researchers with the basic tools for understanding how to utilize categorical variables in their data analysis. Covering the measurement of individual differences in growth rates, the measurement of stage transitions, latent class and log-linear models, chi-square, and more, the book provides a means for developmental researchers to make use of categorical data.

The book covers:
* Measurement and repeated observations of categorical data
* Catastrophe theory
* Latent class and log-linear models
* Applications

Product Details


Customer Reviews


There are no customer reviews yet.
Video reviews
Video reviews
Amazon now allows customers to upload product video reviews. Use a webcam or video camera to record and upload reviews to Amazon.



Inside This Book (learn more)
First Sentence:
It is generally accepted that measurement has been central to the advancement of empirical physical science. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
anomalous variance, inequality items, latent class parameter, cusp model, edge cutlets, catastrophe flags, elementary catastrophe theory, decomposable models, conservation items, transitional subjects, maximum spanning tree, conservation acquisition, latent class models, smooth coordinate transformations, latent distribution, binomial effect size display, stationary probability density, conditional independencies, reared apart twins, nonshared environmental effects, latent trait models, stationary density, conservation test, graded responses, twin correlations
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Monte Carlo, Native Americans, David Andrich, San Francisco, Model of Parallel Axial Symmetry, Ncw York, Academic Press, Analysis of Example, Psychological Bulletin, Residualimd Distribution, Twin Study of Aging, Van Kampen
New!
Books on Related Topics | Concordance | Text Stats
Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
Search Inside This Book:

Citations (learn more)
This book cites 9 books:
See all 9 books this book cites



Tag this product

 (What's this?)
Think of a tag as a keyword or label you consider is strongly related to this product.
Tags will help all customers organize and find favorite items.
Your tags: Add your first tag
 

Sell a Digital Version of This Book in the Kindle Store

If you are a publisher or author and hold the digital rights to a book, you can sell a digital version of it in our Kindle Store. Learn more

Customer Discussions

This product's forum
Discussion Replies Latest Post
No discussions yet

Ask questions, Share opinions, Gain insight
Start a new discussion
Topic:
First post:
Prompts for sign-in
 


Active discussions in related forums
Search Customer Discussions
Search all Amazon discussions
   
Related forums


Listmania!


Create a Listmania! list

So You'd Like to...


Create a guide


Look for Similar Items by Category


Look for Similar Items by Subject