Science of Self-report

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Assessing Patient Adherence
autobiographical
Autobiographical Memory
behavioral frequency judgments
Behaviorally Specific Questions
Category=JMAL
Category=JMR
Chronic
CIDI Diagnosis
Computer - Assisted Self-Interviewing
Data Sets
Duke University Medical Center
ecological momentary assessment
Elevated Symptom Reporting
EMA Method
episodic
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
event dating methods
Follow
Frequency Judgments
Gate Questions
Hair Testing
Index Abuse
Involved Drug Users
longitudinal
memories
memory
memory error measurement in psychology
mood
Mood Dependence
Mood Dependent Memory
national
NSFG
Played Back
recall bias
reports
Self-Report Adherence Measures
Selfreported Measures
sensitive topics research
survey
survey response validity
symptom
Symptom Reports
Vice Versa

Product details

  • ISBN 9780805829914
  • Weight: 740g
  • Dimensions: 152 x 229mm
  • Publication Date: 01 Aug 1999
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Paperback
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Rigorous methodological techniques have been developed in the last decade to improve the reliability and accuracy of self reports from research volunteers and patients about their pain, mood, substance abuse history, or dietary habits. This book presents cutting-edge research on optimal methods for obtaining self-reported information for use in the evaluation of scientific hypothesis, in therapeutic interventions, and in the development of prognostic indicators.

ALTERNATE BLURB:
Self-reports constitute critically important data for research and practice in many fields. As the chapters in this volume document, psychological and social processes influence the storage and recall of self-report information. There are conditions under which self-reports should be readily accepted by the clinician or researcher, and other conditions where healthy scepticism is required. The chapters demonstrate methods for improving the accuracy of self-reports, ranging from fine-tuning interviews and questionnaires to employing emerging technologies to collect data in ways that minimize bias and encourage accurate reporting.

Representing a diverse group of disciplines including sociology, law, psychology, and medicine, the distinguished authors offer crucial food for thought to all those whose work depends on the accurate self-reports of others.

Stone, Arthur A.; Bachrach, Christine A.; Jobe, Jared B.; Kurtzman, Howard S.; Cain, Virginia S.