What If There Were No Significance Tests?
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Science & Technology
Business & Economics
Philosophy
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Формат
Твердый переплет
Страницы
466
Язык
Английский
Опубликовано
Aug 1, 1997
Издатель
Psychology Press
ISBN-10
0805826343
ISBN-13
9780805826340
Описание
This thought-provoking text delves into the ongoing debate surrounding the use of significance tests in psychological research. The authors, recognized experts in the field, articulate a compelling case for reevaluating traditional practices in statistical analysis. Drawing from contemporary discussions within the Society of Multivariate Experimental Psychology, they explore the implications of moving away from reliance on these tests.
Through a combination of theoretical insights and practical considerations, the authors challenge researchers to reconsider the interpretation and communication of results. They argue that the assumptions underpinning significance testing may not only mislead but also stifle scientific progress. The book serves as a crucial resource for scholars and practitioners interested in advancing rigorous methodologies in psychological research.
As the conversation unfolds, readers are encouraged to reflect on their own practices and the broader consequences for the field. The authors advocate for alternative approaches that prioritize meaningful analysis over arbitrary thresholds, fostering a more nuanced understanding of research outcomes. This discourse positions itself as an essential contribution to the evolution of statistical practice in psychology.
Through a combination of theoretical insights and practical considerations, the authors challenge researchers to reconsider the interpretation and communication of results. They argue that the assumptions underpinning significance testing may not only mislead but also stifle scientific progress. The book serves as a crucial resource for scholars and practitioners interested in advancing rigorous methodologies in psychological research.
As the conversation unfolds, readers are encouraged to reflect on their own practices and the broader consequences for the field. The authors advocate for alternative approaches that prioritize meaningful analysis over arbitrary thresholds, fostering a more nuanced understanding of research outcomes. This discourse positions itself as an essential contribution to the evolution of statistical practice in psychology.
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