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Qualitative research is changing; more qualitative studies are being conducted online with an increase in the use of software to aid in the analyses, and there is also a trend to incorporate physiological measurements with qualitative research when appropriate.
There is a continuing push to report effect sizes with all statistical analyses when appropriate.
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Studies have shown that in certain cases, adding an image of an interviewer’s face to an online survey can increase the accuracy of reporting, depending on the type of data the survey is designed to collect.
Market researchers are now focusing on integrating social intelligence into their research in order to discover and address major issues before they hit the groundswell.
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Worldviews on Evidence-Based Nursing proposed a call for reporting effect sizes in research reports to enhance critical appraisal and evidence-based practice.
Nature Publishing Group (which includes high-impact journals such as Nature, Nature Genetics, and Nature Reviews Cancer) now requires all submissions to have statistical oversight.
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Blackbaud, Inc. reports the growing trend of the use of technology in nonprofit fundraising, as it is critical to engage donors faster due to current challenges of the economy.
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Survey Finds Significant Statistical Insecurity
By: Abigail Zuger, MD
Published in Journal Watch General Medicine August 29, 2007
Most physicians have no confidence in their own ability to use medical statistics.
The era of evidence-based medicine means that physicians are continuously exposed to statistical concepts, but a survey from Mayo Clinic documents how insecure most of us feel about using them.
Of 301 medical students, internal medicine residents, and internal medicine faculty members who completed a questionnaire (for a response rate of 64%), only a small minority agreed they had had adequate training in medical statistics (17%), could tell when the correct statistical methods were used in a study (23%), could conduct their own statistical analyses with confidence (15%), or could design their own research with confidence (28%). Although faculty were more likely to report confidence than trainees, even they were seldom confident using statistics independently, and even among respondents with extensive self-reported research experience, only 55% were confident conducting their own statistical analyses. Almost 80% of respondents felt a biostatistician should be centrally involved in most research.
Comment: This study's results certainly ring true: It seems only the rare physician is truly fluent in statistics and in the language of medical research. Further, while researchers may collaborate with biostatisticians on their projects, clinicians struggling to explain new studies to patients are on their own and often make big mistakes. The authors suggest that evidence-based medicine become the vehicle for more-effective training in biostatistics for all.
Citation
West CP and Ficalora RD. Clinician attitudes toward biostatistics. Mayo Clin Proc 2007 Aug; 82:939-43. [Medline® abstract]
Copyright © 2007. Massachusetts Medical Society. All rights reserved.
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