Designing an online user interface and stimuli to promote authentic responses : investigating the impact of conflicting health-related information / Jake Rattigan, Patrick V. Barnwell, William P. Coleman, Richard J. Contrada.

Format:

Book

Author/Creator:

Rattigan, Jake, author.

Barnwell, Patrick V., author.

Coleman, William P., author.

Contrada, Richard J., author.

Series:

SAGE Research methods cases.

SAGE Research methods cases

Language:

English

Subjects (All):

Internet research--Case studies.

Internet research.

Statistics--Case studies.

Statistics.

Data collection platforms--Case studies.

Data collection platforms.

User interfaces (Computer systems)--Research--Case studies.

User interfaces (Computer systems).

Communication in medicine--Research--Case studies.

Communication in medicine.

Physical Description:

1 online resource.

Place of Publication:

London : SAGE Publications Ltd, 2023.

Summary:

Necessity is the mother of invention. When in-person research became unfeasible because of the COVID-19 pandemic, many social and behavioral scientists turned to online research using procedures to collect data remotely. But this mode of data collection brings challenges that differ from those of in-person research. In the absence of direct observation and a physically present researcher, online participants' motivation and attention may be suboptimal for obtaining good data. As we developed our remote, asynchronous study of the cognitive and attitudinal impacts of exposure to conflicting health-related information, a central concern was how best to keep participants engaged and encourage authentic responses. This obstacle led us to organize a principle-informed approach to designing research protocols, experimental interfaces, and stimuli to help optimize online data.In this methodological case study, we demonstrate how principles that guide the effective implementation of in-person research can be followed in remote data acquisition. These include experimental realism, which can help to generate quality data, and mundane realism, which can enhance experimental realism. Both principles emerged decades ago in experimental social psychology but have relevance for any type of experimental or correlational research that involves human participants. We also discuss the advantages of using objective measures wherever they suit one's research purposes. Finally, given that, even under optimal conditions, there will be some data that should be excluded from statistical analysis to enhance its quality, several techniques are described for optimizing data collection and detecting inattentive respondents.

Contents:

Learning Outcomes Experimental Realism: Maintaining Meaningful Engagement Mundane Realism in Service of Experimental Realism Objective Measures Data Collection and Treatment Conclusion Classroom Discussion Questions Multiple-Choice Quiz Questions Web Resources References.

Notes:

Includes bibliographical references.

Description based on publisher supplied metadata and other sources.

ISBN:

1-5296-2746-X

9781529627466

OCLC:

1369931639