Measuring Trust in Medical Researchers: Adding Insights from Cognitive Interviews to Examine Agree-Disagree and Construct-Specific Survey Questions

Jennifer Dykema; Dana Garbarski; Ian F. Wall; Dorothy Farrar Edwards

doi:10.2478/jos-2019-0017

Measuring Trust in Medical Researchers: Adding Insights from Cognitive Interviews to Examine Agree-Disagree and Construct-Specific Survey Questions

Jennifer Dykema, Dana Garbarski, Ian F. Wall, Dorothy Farrar Edwards

Research output: Contribution to journal › Article › peer-review

Original language	American English
Journal	Journal of Official Statistics
Volume	35
Issue number	2
DOIs	https://doi.org/10.2478/jos-2019-0017
State	Published - Jun 1 2019

Disciplines

Cognitive Psychology
Mathematics
Econometrics

Access to Document

10.2478/jos-2019-0017License: Unspecified

Cite this

@article{bcc38b4870c6488b802898e3ce6e4be3,

title = "Measuring Trust in Medical Researchers: Adding Insights from Cognitive Interviews to Examine Agree-Disagree and Construct-Specific Survey Questions",

author = "Jennifer Dykema and Dana Garbarski and Wall, {Ian F.} and Edwards, {Dorothy Farrar}",

note = "While scales measuring subjective constructs historically rely on agree-disagree (AD) questions, recent research demonstrates that construct-specific (CS) questions clarify underlying response dimensions that AD questions leave implicit and CS questions often yield higher measures of data quality.",

year = "2019",

month = jun,

day = "1",

doi = "10.2478/jos-2019-0017",

language = "American English",

volume = "35",

journal = "Journal of Official Statistics",

number = "2",

}

TY - JOUR

T1 - Measuring Trust in Medical Researchers: Adding Insights from Cognitive Interviews to Examine Agree-Disagree and Construct-Specific Survey Questions

AU - Dykema, Jennifer

AU - Garbarski, Dana

AU - Wall, Ian F.

AU - Edwards, Dorothy Farrar

N1 - While scales measuring subjective constructs historically rely on agree-disagree (AD) questions, recent research demonstrates that construct-specific (CS) questions clarify underlying response dimensions that AD questions leave implicit and CS questions often yield higher measures of data quality.

PY - 2019/6/1

Y1 - 2019/6/1

UR - https://content.sciendo.com/view/journals/jos/35/2/article-p353.xml

U2 - 10.2478/jos-2019-0017

DO - 10.2478/jos-2019-0017

M3 - Article

VL - 35

JO - Journal of Official Statistics

JF - Journal of Official Statistics

IS - 2

ER -

Measuring Trust in Medical Researchers: Adding Insights from Cognitive Interviews to Examine Agree-Disagree and Construct-Specific Survey Questions

Disciplines

Access to Document

Other files and links

Cite this