Normal view MARC view ISBD view

Statistical modelling for social researchers: principles and practice/ Roger Tarling.

By: Tarling, RogerMaterial type: Text

TextPublication details: London ; New York : Routledge, 2009Description: x, 210 p. : ill., plans ; 26 cmISBN: 9780415448376 (hardback); 0415448379 (hardback)Subject(s): Social sciences -- Research -- Statistical methods | Social sciences -- Statistical methodsDDC classification: 519.5

Contents:

1. Statistical modelling: an overview 2. Research designs and data 3. Statistical preliminaries 4. Multiple regression for continuous response variables 5. Logistic regression for binary response variables 6. Multinomial logistic regression for multinomial response variables 7. Loglinear modelling 8. Ordinal logistic regression for ordered categorical response variables 9. Multilevel modelling 10. Latent variables and factor analysis 11. Causal modelling: simultaneous equation and structural equation models 12. Longitudinal data analysis 13. Event history models

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings ( 1 )
Title notes ( 2 )
Comments ( 0 )

Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
General Books	Central Library, Sikkim University General Book Section	519.5 TAR/S (Browse shelf(Opens below))	Available		P18324

Total holds: 0

Browsing Central Library, Sikkim University shelves, Shelving location: General Book Section Close shelf browser (Hides shelf browser)

Previous								Next
Previous	519.5 SHE/M Robustness in data analysis: criteria and methods/	519.5 SNI/M Multilevel analysis: an introduction to basic and advanced multilevel modeling/	519.5 TAR/S Statistical Modelling/	519.5 TAR/S Statistical modelling for social researchers: principles and practice/	519.5 TOW/P Practical Statistics for Environmental and Biological Scientists/	519.5 WAL/P Practical statistics/	519.5 WAS/A All of Statistics: A Concise Course in Statistical Inference	Next

Includes bibliographical references and index.

1. Statistical modelling: an overview
2. Research designs and data
3. Statistical preliminaries
4. Multiple regression for continuous response variables
5. Logistic regression for binary response variables
6. Multinomial logistic regression for multinomial response variables
7. Loglinear modelling
8. Ordinal logistic regression for ordered categorical response variables
9. Multilevel modelling
10. Latent variables and factor analysis
11. Causal modelling: simultaneous equation and structural equation models
12. Longitudinal data analysis
13. Event history models

There are no comments on this title.

to post a comment.