Description

    • For graduate students in the social and health sciences, featuring essential concepts and equations most often needed in scholarly publications.

    • Uses excerpts from the scholarly literature in these fields to introduce new concepts.

    • Uses publicly-available data that are regularly used in social and health science publications to introduce Stata code and illustrate concepts and interpretation.
    • Thoroughly integrates the teaching of statistical theory with teaching data processing and analysis.

    • Offers guidance about planning projects and organizing code for reproducibility

    • Shows how to recognize critiques of the constructions, terminology, and interpretations of statistics.

    • New edition focuses on Stata, with code integrated into the chapters (rather than appendices, as in the first edition)

    • includes Stata’s factor variables and margins commands and Long and Freese’s (2014) spost13 commands, to simplify programming and facilitate interpretation.

Applied Statistics for the Social and Health Sciences

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£41.53

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Usually despatched within 4 days
Paperback / softback by Rachel A. Gordon

3 in stock

Short Description:

For graduate students in the social and health sciences, featuring essential concepts and equations most often needed in scholarly publications.... Read more

    Publisher: Taylor & Francis Ltd
    Publication Date: 11/07/2023
    ISBN13: 9781032323442, 978-1032323442
    ISBN10: 1032323442

    Number of Pages: 780

    Non Fiction , Politics, Philosophy & Society

    Description

      • For graduate students in the social and health sciences, featuring essential concepts and equations most often needed in scholarly publications.

      • Uses excerpts from the scholarly literature in these fields to introduce new concepts.

      • Uses publicly-available data that are regularly used in social and health science publications to introduce Stata code and illustrate concepts and interpretation.
      • Thoroughly integrates the teaching of statistical theory with teaching data processing and analysis.

      • Offers guidance about planning projects and organizing code for reproducibility

      • Shows how to recognize critiques of the constructions, terminology, and interpretations of statistics.

      • New edition focuses on Stata, with code integrated into the chapters (rather than appendices, as in the first edition)

      • includes Stata’s factor variables and margins commands and Long and Freese’s (2014) spost13 commands, to simplify programming and facilitate interpretation.

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