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• W2311042605 abstract "In recent years many emerging statistical analytical tools, such as exploratory data analysis (EDA), data visualization, robust procedures, and resampling methods, have been gaining attention among psychological and educational researchers. However, many researchers tend to embrace traditional statistical methods rather than experimenting with these new techniques, even though the data structure does not meet certain parametric assumptions. Three factors contribute to this conservative practice. First, newer methods are generally not included in statistics courses, and as a result, the concepts of these newer methods seem obscure to many people. Second, in the past most software developers devoted efforts to program statistical packages for conventional data analysis. Even if researchers are aware of these new techniques, the limited software availability hinders them from implementing them. Last, even with awareness of these concepts and access to software, some researchers hesitate to apply marginal procedures. Traditional procedures are perceived as founded on solid theoretical justification and empirical substantiation, while newer techniques face harsh criticisms and seem to be lacking theoretical support. Resampling methods: concepts, applications, and justification. Yu, Chong Ho http://pareonline.net/getvn.asp?v=8&n=19" @default.
• W2311042605 created "2016-06-24" @default.
• W2311042605 creator A5010108137 @default.
• W2311042605 date "2002-01-01" @default.
• W2311042605 modified "2023-09-25" @default.
• W2311042605 title "Resampling methods: Concepts, Applications, and Justification" @default.
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• W2311042605 doi "https://doi.org/10.7275/9cms-my97" @default.
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