Non-response in survey research: a methodological discussion and development of an explanatory model.
This paper demonstrates that the different sources of non-response in survey research must be considered by researchers in order to minimize the potential for bias, and that careful planning and management during sample selection, sample recruitment and data collection can control the extent of response failure. The findings of an interview survey of nurses and nurses' aides illustrate, however, that the success of strategies designed to reduce the loss of data in survey research depends upon researchers acknowledging the complex relationships that exist between non-response phenomena throughout the research process.
Barriball
K L
KL
Research in Nursing Studies Section, Florence Nightingale School of Nursing and Midwifery, King's College London, England.
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D015982:Bias; D015400:Clinical Nursing Research / Q000379:methods* / Q000706:statistics & numerical data; D003625:Data Collection / Q000379:methods* / Q000706:statistics & numerical data; D006801:Humans; D007407:Interviews as Topic / Q000379:methods; D016294:Models, Nursing; D009726:Nurses / Q000706:statistics & numerical data; D009728:Nursing Assistants / Q000706:statistics & numerical data; D018579:Patient Selection; D011897:Random Allocation; D012107:Research Design / Q000706:statistics & numerical data; D012494:Sampling Studies