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How to use survey results
by
Cooper, I. Diane
, Johnson, Timothy P.
in
Confirmatory bias
/ Data Interpretation, Statistical
/ Database Management Systems
/ Direct marketing
/ Evaluation
/ Health Services Research
/ Health surveys
/ Humans
/ Information Services
/ Internet
/ Medical sciences
/ Methods
/ Polls & surveys
/ Researchers
/ Secondary data analysis
/ Social aspects
/ Studies
/ Subversive activities
/ Surveys and Questionnaires
/ Teleconferencing
/ Tools and Skills
/ United States
2016
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How to use survey results
by
Cooper, I. Diane
, Johnson, Timothy P.
in
Confirmatory bias
/ Data Interpretation, Statistical
/ Database Management Systems
/ Direct marketing
/ Evaluation
/ Health Services Research
/ Health surveys
/ Humans
/ Information Services
/ Internet
/ Medical sciences
/ Methods
/ Polls & surveys
/ Researchers
/ Secondary data analysis
/ Social aspects
/ Studies
/ Subversive activities
/ Surveys and Questionnaires
/ Teleconferencing
/ Tools and Skills
/ United States
2016
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Do you wish to request the book?
How to use survey results
by
Cooper, I. Diane
, Johnson, Timothy P.
in
Confirmatory bias
/ Data Interpretation, Statistical
/ Database Management Systems
/ Direct marketing
/ Evaluation
/ Health Services Research
/ Health surveys
/ Humans
/ Information Services
/ Internet
/ Medical sciences
/ Methods
/ Polls & surveys
/ Researchers
/ Secondary data analysis
/ Social aspects
/ Studies
/ Subversive activities
/ Surveys and Questionnaires
/ Teleconferencing
/ Tools and Skills
/ United States
2016
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Journal Article
How to use survey results
2016
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Overview
Most library science surveys use Likert-style questions. After you read a study that reports results from Likert-style questions. After you read a study that reports results from Likert-style questions, you may think about using the results to guide some decision that you need to make. If so, then your job is to understand the validity of the results and how they apply to your decision. The researcher presents the results. You must determine how persuasive the results are for you. You have probably filled out a questionnaire that asks you to choose one response from several that are offered. Keep in mind the possibility of confirmation bias. They are all human. Many researchers may have a subliminal desire to prove their hypotheses are correct. Parametric analyses are more powerful; in other words, they can find a statistical difference that is not identified by nonparametric analyses.
Publisher
Medical Library Association,University Library System, University of Pittsburgh
Subject
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