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Beyond Statistical Significant Tests: The Importance of Using Other Estimates of Treatment Effects to Interpret Results Evaluation

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For decades, the most common method used to detect differences between groups in comparative studies has been the use of statistical significance tests. Unfortunately, many current evaluation students are still being taught the use of such significance tests without being warned about their limitations and the need to supplement them with other estimates of treatment effects necessary to interpret between-group differences correctly. In this paper I describe briefly the problem and what new evaluators may do to better understand this issue and improve their evaluation practice, including references to sources where they can delve more deeply into this subject than is possible in this brief paper.

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