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The Sampling Bias in Random Digit Dialing
Author(s) -
A. Dianne Schmidley
Publication year - 1988
Publication title -
iassist quarterly
Language(s) - English
Resource type - Journals
eISSN - 2331-4141
pISSN - 0739-1137
DOI - 10.29173/iq408
Subject(s) - random digit dialing , numerical digit , sampling (signal processing) , computer science , statistics , telecommunications , mathematics , medicine , arithmetic , environmental health , population , detector
by A. Dianne Schmidley' Bell Atlantic Corporation All research is based on information from data collection efforts, whether the data result from the use of qualitative approaches, such as, content analysis, focus group sessions, or in-depth interviewing by psychologists, social workers or ethnographers, or from methods which produce data more amenable to quantitative analyses, such as, sample surveys and censuses (technically, a census is a 100% sample stirvey). A study-, conducted by Derek Phillips in the early 1970s, concerning the preference of sociologists for either qtiantitative or qualitative data collection approaches, revealed that more than 90 percent of the research conducted by those social scientists resulted from the analysis of data collected through the administration of interview schedules and/or questionnaires developed for use in a survey setting.

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