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Using Behavior Coding to Evaluate the Effectiveness of Dependent Interviewing Joanne Pascale QUEST Conference Ottawa, Canada April 26, 2007
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Outline Dependent interviewing Research questions addressed with behavior coding Methods Findings Summary and Recommendations
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Dependent Interviewing (DI) Used in longitudinal studies Carries reports from one wave into the next interview wave E.g.: ‘Last time you said you were receiving benefit X. Are you still receiving benefit X?’
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Purpose of DI Potential for smoother, smarter, more efficient interview Literature demonstrates: –Reduced burden –Reduced item non-response –Reduced seam bias –Respondents want and expect it
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Research Questions How is DI being implemented in the field: Do interviews read questions as worded? Do respondents affirm or dispute the fed-forward data from prior wave? Does this vary by ‘style’ of DI?
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Methods: The ELSA Study English Longitudinal Study on Aging (ELSA) Panel study of 50+ begun in 2002 Follow-ups every 2 years CAPI face-to-face
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Methods: The ELSA Pilot Vehicle for DI test: pilot of Wave 3 January, 2006 4-week field period Recorded onto laptops using CARI 17 interviewers 104 pilot interviews
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Methods: DI Topics and Styles 3 different topic areas: –Demographics –Health conditions Eye (e.g. glaucoma) Cardio-vascular (e.g. high blood pressure) Chronic (e.g. arthritis) –Vehicle ownership 5 different styles of DI
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Demographics Item Wording 1. Does John still live here? 2. Can I just check, is John’s date of birth January 1, 1960? 3. Our records show that when we last interviewed you, you had a child called Billy, whose date of birth is July 1, 2005. Are these details correct?
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Health Item Wording 4a. Our records show that when we last interviewed you in [DATE], you said that you had [EYE CONDITION]. 4b. Do you still have [EYE CONDITION]? [same routine for CVD and chronic conditions]
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Vehicle Item Wording 5. At the time of last interview, you or someone in your household owned [VEHICLE]. Is that vehicle still owned by you or someone in your household?
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Behavior Coding Listened to several pilot tapes to develop code frame First-level exchange sufficient Developed Interviewer, Respondent and Outcome codes
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Interviewer Codes Read as worded/slight change Major change FF statement became a question FF question became a statement Other major change Omitted Inaudible Interviewer/Other
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Respondent Codes Adequate Affirmed FF item Disputed FF item Inadequate Answer/Elaboration Clarification Inaudible Respondent/Other
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Demographics Findings Interviewer BehaviorRespondent Behavior Exact/slight change Q read as statement Q omitted Adequate Affirmed Adequate Disputed Does NAME still live here? 403318811 Can I check, is NAMES’s DOB? 57371910 Our records show child’s name, DOB. Details correct? 7980895
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Health Findings Interviewer BehaviorR Behavior Exact/slt change S read as Q Q read as S OmittedAdequate Affirmed Adequate Disputed Last time you reported EYE cond 6238--06210 Do you still? 63--16 -- Last time you reported CVS cond 6320--0875 Do you still? 76--313-- Last time you reported CHRONIC cond 4134--5854 Do you still? 61--1418--
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Vehicle Findings Interviewer BehaviorRespondent Behavior Exact/slight change Q read as S OmittedAdequate Affirmed Adequate Disputed Last time you owned …vehicle. Still own? 8284746
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Summary: Interviewers Qs read as worded: 40-82% Non-standard reading varied: –Demographics & vehicle: questions turned into statements or omitted –Health: statements of what was reported last time were turned into questions; question “is that still” omitted
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Summary: Respondents Adequate answer: 72-94% Disputed fed-forward data: 0-10% –Confirmed prior wave report but said no longer the case –Denied prior wave report –Disagreed with details of prior wave report
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Recommendations Avoid simple statements of prior wave data For topics unlikely to change over time (e.g.: DOB) avoid re-asking; verify accuracy of first report Style of DI needs to be tailored to item Prior wave data could be challenged; need to allow for corrections
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