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Автор Schiffenbauer, Allen
Автор Schulman, Robert
Автор Poe, Donald
Дата выпуска 1978
dc.description Traditionally, most crowding research involves the observation of subjects in groups formed either by manipulation in the laboratory or by natural factors in field studies. The conventional analysis of such data employs the group mean (or median) as the experimental unit and results in large numbers of individuals being observed to yield comparatively few degrees of freedom for the statistical tests of treatment effects. This paper examines the difference between dependent and independent responses and suggests that, for the case of independence, a nested analysis of variance model is appropriate. The advantages of this analytic approach are explained, and conditions are discussed under which more powerful test of treatment effects may be obtained.
Издатель Sage Publications
Название A Nested Analysis for Data Collected from Groups
Тип Journal Article
DOI 10.1177/0013916578101006
Print ISSN 0013-9165
Журнал Environment and Behavior
Том 10
Первая страница 127
Последняя страница 132
Аффилиация Schiffenbauer, Allen, Needham, Harper & Steers
Аффилиация Schulman, Robert, Virginia Polytechnic Institute and State University
Аффилиация Poe, Donald, Cornell University
Выпуск 1
Библиографическая ссылка HELLER, J. F., B. D. GROFF, and S. H. SOLOMON (1977) "Toward an understanding of crowding: the role of physical interaction."J. of Personality and Social Psychology35: 183-190.
Библиографическая ссылка MARSHALL, J. E. and R. HESLIN (1975) "Boys and girls together: sexual composition and the effect of density and group size on cohesiveness."J. of Personality and Social Psychology31: 952-961.
Библиографическая ссылка SCHIFFENBAUER, A. I., J. E. BROWN, P. L. PERRY, L. K. SHULACK, and A. M. ZANZOLA, (1977) "The relationship between density and crowding: some architectural modifiers."Environment and Behavior9: 3-4.
Библиографическая ссылка SERVICE, J. (1972) A users guide to the statistical analysis system. Raleigh, NC: Sparks Press.
Библиографическая ссылка WINER, B. J. (1971) "Statistical principles in experimental design."New York: McGraw-Hill.

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