Designing Online Experiments for the Social Sciences.

Format:

Book

Author/Creator:

Veltri, Giuseppe.

Language:

English

Subjects (All):

Social sciences--Experiments.

Social sciences.

Social sciences--Research--Methodology.

Physical Description:

1 online resource (233 pages)

Edition:

1st ed.

Place of Publication:

London : Sage Text UK, 2023.

Summary:

This book guides you through designing and implementing an online experiment in social science research and provides online tools to match each stage of research design.

Contents:

Cover

Half Title

Title Page

Copyright

Table of contents

Table of figures and tables

ONLINE RESOURCES

Dedication

About the author

Acknowledgements

Introduction

1. Online population-based survey experiments

1.1 Observational versus experimental methods

1.2 The internal-external validity debate

1.2.1 Internal validity

1.2.2 External validity

1.2.3 Ecological validity

1.2.4 Main threats to validity

1.2.5 Trade-offs between different forms of validity

1.3 Population-based survey experiments

1.3.1 Online experiments as field experiments

1.4 Chapter summary

Further readings

2. The ethics of online experiments

2.1 Obtrusive and unobtrusive research online

2.2 Personal data and privacy

2.3 Ethical regulatory guidelines

2.3.1 Informed consent

2.3.2 Deception and debriefing

2.3.3 Withdraw

2.3.4 Integrity of test materials

2.3.5 Avoiding harm

2.4 Chapter summary

3. Causal inferences and experiments

3.1 Random assignment and average treatment effect

3.2 Block random assignment

3.3 Basic experiments' layouts

3.4 Full, factorial and optimal designs

3.4.1 Optimal designs

3.5 Using covariates in experimental design and analysis

3.6 Chapter summary

4. Sampling for population-based survey experiments

4.1 From subject pools to samples

4.1.1 Intercept and systematic sampling

4.1.2 List-based samples

4.2 Static and adaptive design

4.2.1 Adaptive versus responsive designs

4.3 Attrition in PBSE experiments

4.4 Chapter summary

5. Building your experiment

5.1 Affordances and interface design choices

5.1.1 Interface

5.1.1.1 Colours, fonts and layout

5.2 Metadata and paradata

5.3 Length

5.4 Timing and dynamic stimuli

5.5 Mouse data as input.

5.6 Using mobile and tablet sensors

5.7 Chapter summary

6. Dealing with missing data and non-compliance

6.1 Attrition and average treatment effects

6.2 Non-parametric methods for missing data

6.3 One-sided non-compliance

6.3.1 Average treatment effect and complier average casual effects

6.3.2 Estimating treatment effects and partial treatment

6.3.3 Final considerations about non-compliance

6.4 Chapter summary

7. Execution of population-based survey experiments: case studies

7.1 Decision-making: choice experiments

7.2 Vignette studies

7.3 Framing experiments

7.4 Implicit attitude test and its variants

7.4.1 The concept association task

7.5 Games

7.6 Chapter summary

8. The value of population-based survey experiments for social scientific research

8.1 Encouraging experiments in the social sciences

8.2 Heterogeneous treatment effects and population-based survey experiment

8.3 External validity reconsidered

References

Index.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

1-5297-8288-0

1-5297-8486-7

1-5297-8684-3

9781529782882

OCLC:

1378193549

Publisher Number:

273034