Platform/Software: Web-based (Google Chrome preferred)ĭevelopers: Nianbo Dong, Benjamin Kelcey, Rebecca Maynard & Jessaca Spybrook Journal of Educational and Behavioral Statistics, 39(6): 478 – 501. (2014) How generalizable is your experiment? Comparing a sample and population through a generalizability index. (2014) Stratified sampling using cluster analysis: A sample selection strategy for improved generalizations from experiments. Users are provided with summary information indicating the similarity between the sample and population, as well as guidelines regarding how this similarity affects the generalizability of findings. For users evaluating the findings from a study, The Generalizer compares the final sample of schools that took part in the evaluation with the relevant population of schools in the United States as well as each of the 50 states.
Users are provided with lists of schools and contact information, as well as recruitment goals that can be used to guide the recruitment process. By recruiting some schools from each stratum, the final sample is compositionally similar to the inference population.
For users planning a study, The Generalizer creates a stratified recruitment plan based on school features.Purpose: This tool is helpful in selecting sites for experiments and for assessing the generalizability of findings from completed experiments.
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Software Study Design Tools Impact Analysis Tools Cost, Cost-Effectiveness & Benefit-Cost Analysis Toolsĭevelopers: Elizabeth Tipton, Katie Miller & Larry V.
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