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Navigating the many hurdles in creating a self-report measure / Daniel Rodriguez.

SAGE Research Methods Cases: Medicine and Health Available online

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Format:
Book
Author/Creator:
Rodriguez, Daniel, active 2020, author.
Series:
SAGE Research Methods Cases: Medicine and Health.
SAGE Research Methods Cases: Medicine and Health
Language:
English
Subjects (All):
Smoking--Research--Methodology--Case studies.
Smoking.
Physical Description:
1 online resource.
Place of Publication:
London : SAGE Publications Ltd, 2020.
Summary:
The purpose of this case study is to provide insight into the process of designing and testing a self-report measure to assess self-concept related to combustible cigarette smoking. The subjective importance of smoking (SIMS) measure was tested in three different samples in two countries. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were employed at various stages, and a newer method, exploratory structural equation modeling (ESEM) at the final stage. Although it was a pleasure to finally see the publication in print, the reciprocal interweaving between joy and gloom along the road is what is most memorable to me about the project. My goal here is to provide recommendations for publishing self-report measures like the SIMS, and warnings for what not to do as one embarks on what may be one of research's most perilous journeys. I often tell students not to attempt to publish a self-report measure if a good one already exists because of the many obstacles to overcome in this endeavor. However, if one has a will to do so and a vision that transcends what others see in the field, it is a worthwhile adventure. The adventure is made more difficult, however, if one lacks funding to recruit participants and collect data. I show readers how I navigated this deficit using colleagues' ongoing studies. In the end, the decision to proceed is personal. It has been one of the most fruitful journeys I have had the privilege of pursuing.
Notes:
Includes bibliographical references and index.
Description based on XML content.
ISBN:
1-5297-1524-5
9781529715248
OCLC:
1142440592

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