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DeVito, Pasquale J. – 1976
Commonality analysis was used to look for school effects in gains in reading test scores for 877 fourth to sixth grade children in Elementary Secondary Education Act Title I remedial reading programs. The four groups of predictor variables that were investigated were background, mental ability, parental involvement, and school program. Commonality…
Descriptors: Achievement Gains, Background, Institutional Characteristics, Intelligence
PDF pending restorationKleban, Morton H. – 1978
Q-type factor analysis was used to re-analyze baseline data collected in 1957, on 47 men aged 65-91. Q-type analysis is the use of factor methods to study persons rather than tests. Although 550 variables were originally studied involving psychiatry, medicine, cerebral metabolism and chemistry, personality, audiometry, dichotic and diotic memory,…
Descriptors: Biological Influences, Data Analysis, Factor Analysis, Factor Structure
Bieker, Richard Francis – 1970
Study objectives were (1) to construct a conceptual model to relate incremental educational achievement of individual students during a 2-school-year period to economic inputs of the school, student inputs, and family inputs during that period and (2) to use the model as a basis for generating an economic factor model for the school unit. To test…
Descriptors: Academic Achievement, Class Size, Economic Factors, Economic Research
Wetzel, James N. – 1977
Many research studies which deal with the teaching of economics at the college level conclude that different teaching methods do not lead to very different results in terms of student achievement. This paper suggests that one reason student achievement may fail to demonstrate the superiority of one teaching method over another is that achievement…
Descriptors: Academic Achievement, Achievement Gains, Achievement Tests, College Students
Page, Stephen, Ed.; Shaw, Danielle, Ed. – Laboratory for Student Success (LSS), The Mid-Atlantic Regional Educational Laboratory, 2004
Beginners in many disciplines learn that correlation never proves causation, but sometimes, even in public health, correlation, mistaken for causation, becomes the basis for policy and great expenditures of public and private money. "True experiments" with random assignment to experimental and control groups hold a special place in the…
Descriptors: Conference Papers, Teaching Methods, Federal Legislation, Statistical Studies


