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      Applied Statistics for the Social and Health Sciences

      2 in stock

      Firm sale: non returnable item
      SKU 9781032323442 Categories ,
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      Covering basic univariate and bivariate statistics and regression models for nominal, ordinal, and interval outcomes, this textbook provides graduate students in the social and health sciences with fundamental skills to estimate, interpret, and publish quantitative research us...

      £39.99

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      Description

      Product ID:9781032323442
      Product Form:Paperback / softback
      Country of Manufacture:GB
      Title:Applied Statistics for the Social and Health Sciences
      Authors:Author: Rachel A. Gordon
      Page Count:780
      Subjects:Research methods: general, Research methods: general, Social groups, communities and identities, Social research and statistics, Psychological theory, systems, schools and viewpoints, Psychological methodology, Politics and government, Probability and statistics, Social groups, Social research & statistics, Psychological theory & schools of thought, Psychological methodology, Politics & government, Probability & statistics
      Description:Select Guide Rating
      Covering basic univariate and bivariate statistics and regression models for nominal, ordinal, and interval outcomes, this textbook provides graduate students in the social and health sciences with fundamental skills to estimate, interpret, and publish quantitative research using contemporary standards.

      Covering basic univariate and bivariate statistics and regression models for nominal, ordinal, and interval outcomes, Applied Statistics for the Social and Health Sciences provides graduate students in the social and health sciences with fundamental skills to estimate, interpret, and publish quantitative research using contemporary standards.

      Reflecting the growing importance of "Big Data" in the social and health sciences, this thoroughly revised and streamlined new edition covers best practice in the use of statistics in social and health sciences, draws upon new literatures and empirical examples, and highlights the importance of statistical programming, including coding, reproducibility, transparency, and open science.

      Key features of the book include:

      • interweaving the teaching of statistical concepts with examples from publicly available social and health science data and literature excerpts;
      • thoroughly integrating the teaching of statistical theory with the teaching of data access, processing, and analysis in Stata;
      • recognizing debates and critiques of the origins and uses of quantitative methods.

      Imprint Name:Routledge
      Publisher Name:Taylor & Francis Ltd
      Country of Publication:GB
      Publishing Date:2023-07-11

      Additional information

      Weight1656 g
      Dimensions178 × 256 × 44 mm