Why Choose One Level of Analysis? and Other Issues in Multilevel Research

Several issues related to multilevel research and measurement theory are discussed. It was emphasized that questions regarding choice of level of measurement and unit of analysis are less important than the choice of an appropriate statistical model. It was demonstrated that even with an "error...

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Veröffentlicht in:	Environment and behavior 1996-03, Vol.28 (2), p.237-255
1. Verfasser:	Levine, Douglas W.
Format:	Artikel
Sprache:	eng
Schlagworte:	Analysis Coefficients Correlation Mathematical models Measurement Methodology Multilevel Statistical analysis Theory
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container_title	Environment and behavior
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description	Several issues related to multilevel research and measurement theory are discussed. It was emphasized that questions regarding choice of level of measurement and unit of analysis are less important than the choice of an appropriate statistical model. It was demonstrated that even with an "error-free" environmental measure not all persons should view the setting in the same manner. The split-sample correlation was clearly shown to have undesirable statistical properties, and the use of standard methods was stressed. Investigators were cautioned to carefully choose a coefficient and were shown that this choice is sometimes tricky. Finally, the analysis of multilevel data using multilevel methods was recommended.
doi_str_mv	10.1177/0013916596282005
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language	eng
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source	Applied Social Sciences Index & Abstracts (ASSIA); SAGE Complete A-Z List; Sociological Abstracts
subjects	Analysis Coefficients Correlation Mathematical models Measurement Methodology Multilevel Statistical analysis Theory
title	Why Choose One Level of Analysis? and Other Issues in Multilevel Research
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