Summary
Contents
Subject index
Social Research is a bourgeoning field. Of course it has many traditions and approaches, but there is a high premium upon thinking differently and thinking anew because social life is never static or wholly predictable.
This Handbook, edited by internationally recognized scholars in the field, provides a comprehensive, pitch perfect critical assessment of the field. The main features of the Handbook are:
- Clear organization into 4 parts dealing with The Social Context of Research; Design and Data Collection; Integrating The Analysis of New Data Types; Sampling, Inference and Measurement
- Clear, cutting edge chapters on Objectivity; Effects; Organizing Social Research; Correspondence Analysis; Grounded Theory; Conversational Surveys; Mixed Methods; Regression Analysis; Optimal Matching Analysis; GIS Analysis; Quantitative Narrative Analysis; Longitudinal Studies; Equation Modeling
- Brings together a glittering assembly of the key figures working in the field of Methods today
- Demonstrates the continuities and productive tensions between classical traditions and real world research today
The result is a superbly organized text which will be required reading for anyone interested in the routes and future of social research. It is an unparalleled teaching resource and a ‘must have’ for serious social researchers.
Statistical Inference for Causal Effects, with Emphasis on Applications in Psychometrics and Education
Statistical Inference for Causal Effects, with Emphasis on Applications in Psychometrics and Education
Causal Inference Primitives
We begin with the description of the first part of a framework for causal inference that is now commonly referred to as ‘Rubin's Causal Model’ (RCM; Holland, 1986) for a series of articles developing this framework (Rubin, ...
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