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Introduction
Harry T. Reis and Charles M. Judd
Part I. Design and Inference Considerations
1.
Validity issues and research design
Marilynn B. Brewer
2.
Research design Eliot R. Smith
3.
Causal inference and generalization in field
settings: Experimental and quasi-experimental designs Stephen G.
West, Jeremy C. Biesanz and Steven C. Pitts
4.
Computer simulation methods for social psychology
Reid Hastie and Gary Stasser
Part II.
Procedural Possibilities
5.
Psychophysiological methods James
Blascovich
6.
Behavioral observation and coding Roger
Bakeman
7.
Methods of small group research Norbert L.
Kerr, Joel Aronoff and Lawrence A. Messe
8.
Event-sampling and other methods for studying
daily experience Harry T. Reis and Shelly L. Gable
9.
Survey research Penny S. Visser, Jon A.
Krosnick and Paul J. Lavrakas
10.
Studying the mind in the middle John A.
Bargh and Tanya L. Chartrand
11.
Coding semi-structures interviews in social
psychological
research Kim
Bartholomew, Antonia J. Z. Henderson and James E. Marcia
12.
Content analysis and narrative analysis
Charles P. Smith
Part III.
Data Analytic Strategies
13.
Measurement: reliability, construct validation,
and scale construction Oliver P.
John and Victoria Benet-Martinez
14.
Everyday data analysis in social psychology:
Comparisons of linear
models
Charles M. Judd
15.
Nasty data: Unruly, ill-mannered observations can
ruin your analysis Gary H.
McClelland
16.
Analysis and design for nonexperimental data:
Addressing causal and noncausal hypotheses Duane T. Wegener and
Leandre R. Fabrigar
17.
The analysis of data from dyads and groups
Deborah A. Kashy and David A. Kenny
18.
Modeling growth and change processes: Design,
measurement, and analysis Linda M. Collins and Aline G. Sayer
19.
Quantitative synthesis of social psychological
research Blair T. Johnson and Alice H. Eagly. |
