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Chap6.ppt

AI-generated Abstract

The document outlines a systematic approach to understanding quantitative data analysis in research. It emphasizes the importance of reviewing the Method and Results sections to gauge the research questions and hypotheses, preparation and scoring of the data, and how results are reported. Key criteria for evaluating the quality of data analysis and results are also provided, highlighting indicators of both higher and lower quality, including scoring consistency, hypothesis testing, and comprehensiveness of results.