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J. Vincent Nix; Yi-Chin Wu; Lan Misty Song; Joseph D. Levy – Research & Practice in Assessment, 2024
Traditionally, assessment professionals use analyses relying upon null hypothesis significance testing (NHST), but those tools have limitations when analyzing small samples or disaggregated data. This study used common NHST analytical techniques, compared their results, and then explored an alternative technique that perhaps allows for a more…
Descriptors: Sample Size, Statistical Significance, MOOCs, Geographic Location
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Tarcan, Menderes; Yesilaydin, Gözde – Journal on Efficiency and Responsibility in Education and Science, 2023
The purpose of this study was to determine which of the input and output variables made a statistically significant difference in the efficiency status of undergraduate departments offering Health Management education in Turkey, to identify areas where inefficient departments could improve, and to determine which of the input and output variables…
Descriptors: Input Output Analysis, Statistical Significance, Efficiency, Undergraduate Study
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Simsek, Ahmet Salih – International Journal of Assessment Tools in Education, 2023
Likert-type item is the most popular response format for collecting data in social, educational, and psychological studies through scales or questionnaires. However, there is no consensus on whether parametric or non-parametric tests should be preferred when analyzing Likert-type data. This study examined the statistical power of parametric and…
Descriptors: Error of Measurement, Likert Scales, Nonparametric Statistics, Statistical Analysis