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Maryellen Brunson McClain; Tiffany L. Otero; Jillian Haut; Rochelle B. Schatz – Sage Research Methods Cases, 2014
With growing popularity of single subject design as a method to evaluate the efficacy of interventions, it is important to ensure that the analyses of these methods are rigorous and reliable. The purpose of this case study is to discuss the measures used to evaluate the efficacy of interventions in single subject design studies in the fields of…
Descriptors: Educational Research, Effect Size, Data Analysis, Data Interpretation

Towse, John N.; Hitch, Graham J. – 1994
This paper summarizes an experiment conducted to examine the counting performance of 7- and 8-year-olds. Analysis of variance was computed on counting errors produced when enumerating a set of squares on a computer screen. The factors included in the analysis were age, gender, array size, error type, proximity, and error form. The primary…
Descriptors: Computation, Data Analysis, Data Interpretation, Error Patterns

Barbella, Peter; And Others – Mathematics Teacher, 1990
Demonstrates a statistically valid method allowing students to explore randomization. Described are two examples: counting techniques for a small set of data and simulation for a large sample. (YP)
Descriptors: Data Analysis, Data Interpretation, Mathematical Concepts, Mathematical Logic