Interview Data Structure
Description
Interview Data Structure document sample
Document Sample


Conducting Research
via Interviews
• Collecting & analyzing interview data
– Sekaran & Saks Texts
• Example of structured interview
– Rudermann et al article
Why conduct interviews
• To form OR test hypotheses
– To identify samples needed for
hypothesis-testing research
• To gather more detailed info
– Before vs. after data collection
Issues to consider
• Interview Participants
• Methods of interviewing
• How to increase interviewee motivation
• Structure of interviews
• Avoiding Bias
• Questioning Techniques
Interview Participants
• Opportunity vs. Representative samples
– Benefits to generalization
• Benefits to having formal/informal group
Leaders in org/market research
– Source of ‘rich’ data
– Adding credibility to study
Interview Methods
• Face-Face
• Telephone
Interview Methods
• Face to face
– Direct observation
• Non-verbal body cues, work context, response
to physical/visual stimuli
– Cost
• Time, geographic constraints, more personnel,
safety
Interview Methods
• Telephone
– Response rate issues
• Relatively higher than face-face interview
– Completion rate issues
– Restricts complexity & length of interview
Interviewee motivation
• Interviewees perceptions of the value
of research
• Providing information about Sponsor
• Rapport
– Interviewer’s Listening skills & empathy
• Topic & format
• Setting
– Work vs. non-work
Interview Structure
• Unstructured
• Structured
Interview Structure
• Unstructured
– Uncover preliminary issues to identify
variables needing further study
– Broad, open questions
• Job-level and work type
– Monosyllabic answers
– Positive vs. negative responses
– Non-cooperative interviewees
– Supervisory vs. non-supervisory employees
Sekaran
Interview Structure
• Structured Interviews
– Qs focus on relevant factors
– Each P asked same qs
• Sometimes deviate from interview protocol to
uncover new factors
– Use of Visual aids & physical stimuli
• Marketing, children, issues that are hard to
articulate
– Advantages over questionnaire
– Terminating data collection
Sekaran, Saks
Avoiding Bias
• Sources of Interviewer bias
– Lack of trust & rapport
– Mis-interpretation/distortion responses
– Encouraging or discouraging certain types
of responses via gestures/facial
expressions
– Not Listening attentively
– Not Paraphrasing answers
– Not Repeating/clarifying questions
– Not Being tactful
Sekaran
Avoiding Bias
• Sources of Interviewee Bias
– Not revealing true opinions/experiences
– Interviewee says what s/he thinks
interviewer wants to hear
– Not understanding questions
– Not liking interviewer
– Giving ‘socially desirable’ responses
Sekaran
Avoiding Bias
• Situational bias
– Reasons for non-participation
• Unwillingness, inability
– Different levels of rapport/trust across
different participants/interviewers
– Physical setting
• Degree to which it inhibits honesty
Sekaran
Questioning Techniques
• Funnel technique
– Sequence & Level of specificity of
questions
– Familiarity w/interviewee’s understanding
– Contamination of responses
– Perceived spontaneity, decreased self-
consciousness, rapport
– Probes & follow-up qs
Sekaran, Saks
Questioning Techniques
• Unbiased questioning
– Loaded/leading questions
• Clarifying Issues
– Re-stating/rephrasing
• Helping respondent think through
issues
– Rephrase depending on verbalization
ability
Sekaran
Questioning Techniques
Note Taking
• Intrusiveness
– Focus on summarizing
– Focus on behavior
• Effect on self-consciousness
• Effect on rapport
• Permission for taping
– Effects on interviewee inhibition
• Take notes (or tape) after interview
Saks
Conducting Research
via Interviews
• Collecting & analyzing interview data
– Sekaran & Saks Texts
• Example of structured interview
– Rudermann et al article
Rudermann et al Study
• Benefits of non-job roles for managerial
women
– Hypothesis: Experiences in personal roles
enrich managerial skills
• What percentage of women mention this
hypothesis in their interviews?
• What percentage of all responses to interviews
support this hypothesis?
Participants
• 74% of women participating in a
women-only leadership devel’t prg
• Avg. Age=40 (range=26-57)
• 92% White
• Avg. Salary =~78K (SD= ~32k)
Participants
• Rank
– Middle =49%,
– Upper middle =34% Figure?
– Exec=17%
• 51% had post-graduate education
• 50% had children under 18 yrs
• 71% in committed relationships
• 84% in Fortune 500 corporations
Procedure
• Faxed qs to participants a few days
before interview
• Pilot tested interview qs on 28 women
managers
• Tape-recorded and transcribed each
interview
Measures
• Open-ended questions on
– Different types of roles managers held
– Challenges faced in roles
• Are there any dimensions/aspects of
personal life that enhance your
professional life?
• Use of follow up qs and probes to
obtain details on roles
Data Analysis
• Applied grounded theory (Glaser &
Strauss, 1967)
• Coding techniques Boyatzis (1998)
– Developed initial hypotheses during
interviews with pilot and study 1
participants
Interview Coding
• 2 raters read 30 interviews many times
• Developed excerpts of each P’s answer
• Summarized excerpts
• Organized summaries & sample quotes
• Compared & contrasted quotes and
summaries for each case to id 13
patterns & themes
• Examined remaining interviews for
add’l themes
Interview Coding
• 13 themes reduced to 6 categories
• Reviewed all excerpts to confirm
categorization
• Developed codebook explaining 6
themes
– 66.7% to 90.9% inter-rater agreement on
coding of themes
• Not good according to Boyatzis, 1998
Results
Non-work roles % of % Rater
provide… Sample Agree-
Stating ment
Opportunities to 42 90.2
enhance inter-
personal skills
Psychological 23 75.9
benefits
Emotional support 19 90.9
& advice
Discussion
• Tentative support for hypothesis
• Alternative ways of presenting data to
support hypothesis
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