Books > Social sciences > Psychology > Philosophy & theory of psychology > Behavioural theory (Behaviourism)
|
Buy Now
Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences (Hardcover, 3rd edition)
Loot Price: R3,492
Discovery Miles 34 920
|
|
Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences (Hardcover, 3rd edition)
Expected to ship within 9 - 15 working days
|
Applied Multiple Regression/Correlation Analysis for the Behavioral
Sciences is the classic text on multiple regression. It is noted
for its non-mathematical, applied, and data-analytic approach
intended to teach the reader "how to do it." Students and
researchers profit from its verbal-conceptual exposition and
frequent use of concrete examples. The applied emphasis provides
clear illustrations of the principles and provides worked examples
of the types of applications that are possible. Researchers learn
how to specify regression models that directly address their
research questions of interest. Early in the text an overview of
the fundamental ideas of multiple regression and a review of
bivariate correlation and regression and other elementary
statistical concepts provide a strong foundation for a solid
understanding of the rest of the text. The third edition reflects
both the current and developing state-of-the-art practices in the
field: *An increased emphasis on graphics provides greater
understanding of data. *An increased emphasis on the use of
confidence intervals and effect size measures provides more
information about the size and precision of relationships. *An
accompanying CD contains data for most of the numerical examples
along with the computer code for SPSS, SAS, and SYSTAT. These
computer scripts can serve as templates for the analysis of the
student's own data. *Five entirely new chapters are included:
Assumptions of the regression model and remedies when they are not
met (Ch. 4), detection and treatment of the potential problems of
outliers and multicollinearity (Ch. 10), alternative regression
models that may be used when the dependent variable is binary,
ordered category, or count in form, including logistic, ordinal
logistic, Poisson regression, and the generalized linear model (Ch.
13), multilevel models for data collected in groups or other
clusters (Ch. 14), and the analysis of longitudinal data (Ch. 15).
*Extensively revi
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
|
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.