Literature DB >> 8159152

The telephone interview as a data collection method.

P Burnard.   

Abstract

The interview is one of the most frequently used methods of collecting qualitative data. This paper offers a description of how the telephone interview may be used to collect data in both qualitative and quantitative studies. It offers a description of how to plan and use the telephone as a means of collecting data and justifies the use of this method. The paper also describes and illustrates how textual data that arises from the use of telephone interviews may be analysed by computer. Two approaches to analysis are outlined: (1) simple drawing together of responses to questions and (2) the searching for categories within the data and the organisation of text within those categories. The paper identifies limitations of the approach to data collection and points to further reading on the topic.

Mesh:

Year:  1994        PMID: 8159152     DOI: 10.1016/0260-6917(94)90060-4

Source DB:  PubMed          Journal:  Nurse Educ Today        ISSN: 0260-6917            Impact factor:   3.442


  7 in total

1.  Hospital support services and the impacts of outsourcing on occupational health and safety.

Authors:  Pearl Siganporia; George Astrakianakis; Hasanat Alamgir; Aleck Ostry; Anne-Marie Nicol; Mieke Koehoorn
Journal:  Int J Occup Environ Health       Date:  2016-10-04

2.  Brief report: telephone administration of the autism diagnostic interview--revised: reliability and suitability for use in research.

Authors:  Jessica Ward-King; Ira L Cohen; Henderika Penning; Jeanette J A Holden
Journal:  J Autism Dev Disord       Date:  2010-10

Review 3.  Is there a bias against telephone interviews in qualitative research?

Authors:  Gina Novick
Journal:  Res Nurs Health       Date:  2008-08       Impact factor: 2.228

4.  An embedded longitudinal multi-faceted qualitative evaluation of a complex cluster randomized controlled trial aiming to reduce clinically important errors in medicines management in general practice.

Authors:  Kathrin M Cresswell; Stacey Sadler; Sarah Rodgers; Anthony Avery; Judith Cantrill; Scott A Murray; Aziz Sheikh
Journal:  Trials       Date:  2012-06-08       Impact factor: 2.279

5.  Diagnostic accuracy of an artificial intelligence online engine in migraine: A multi-center study.

Authors:  Robert P Cowan; Alan M Rapoport; Jim Blythe; John Rothrock; Kerry Knievel; Addie M Peretz; Elizabeth Ekpo; Bharati M Sanjanwala; Yohannes W Woldeamanuel
Journal:  Headache       Date:  2022-06-03       Impact factor: 5.311

6.  Women's Narratives about COVID-19, Preventive Practices and Sources of Information in Northwestern Tanzania.

Authors:  Zaina Mchome; Gerry Mshana; Esther Peter; Diana Aloyce; Saidi Kapiga; Heidi Stöckl
Journal:  Int J Environ Res Public Health       Date:  2021-05-15       Impact factor: 3.390

7.  A framework to assess patient-reported adverse outcomes arising during hospitalization.

Authors:  Barbara Okoniewska; Maria Jose Santana; Ward Flemons; Maeve O'Beirne; Deborah White; Wrochelle Ocampo; William A Ghali; Alan J Forster
Journal:  BMC Health Serv Res       Date:  2016-08-05       Impact factor: 2.655

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.