Home » Regression Analysis for the Social Sciences
Product Image

Regression Analysis for the Social Sciences

Rachel A. Gordon
€217.00
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
A01=Rachel A. Gordon
Analysis Data File
applied regression analysis exercises
Author_Rachel A. Gordon
batch
Batch Programs
bivariate
Bivariate Regression
Category=GPS
Category=JHBC
coefficient
Coefficient Estimates
Conditional Effects
data analysis techniques
Data Set
Dummy Variables
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
estimate
excerpts
Gender Role Attitudes
graduate level statistics
Heteroskedasticity Consistent Standard Errors
Influential Observations
Interval Variable
Item Response Theory Models
Lincom Command
literature
Literature Excerpt
Log Lin Model
Log Log Models
model
multicollinearity detection
OLS Regression
Paid Work
predictor
programs
Propensity Score
quantitative research methods
Raw Data File
Regression Model
Root MSE
social science statistics
Standardized Coefficient Estimates
Stata Batch Program
Stata programming skills
Suppressor Variable
variable

Product details

  • ISBN 9781138812512
  • Weight: 1000g
  • Dimensions: 187 x 235mm
  • Publication Date: 17 Mar 2015
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
Secure checkout Fast Shipping Easy returns
Description

Provides graduate students in the social sciences with the basic skills they need to estimate, interpret, present, and publish basic regression models using contemporary standards.

Key features of the book include:

•interweaving the teaching of statistical concepts with examples developed for the course from publicly-available social science data or drawn from the literature.

•thorough integration of teaching statistical theory with teaching data processing and analysis.

•teaching of Stata and use of chapter exercises in which students practice programming and interpretation on the same data set. A separate set of exercises allows students to select a data set to apply the concepts learned in each chapter to a research question of interest to them, all updated for this edition.

About Rachel A. Gordon

Rachel A. Gordon is Professor in the Department of Sociology and Associate Director of the Institute of Government and Public Affairs at the University of Illinois at Chicago. Professor Gordon has multidisciplinary substantive and statistical training and a passion for understanding and teaching applied statistics.

More from this author