rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Testing statistical assumptions in research
  name:
    name part: Verma, J. P.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Abdel-Salam, Abdel-Salam G.
    role:
      role term: author.
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: nju
    date issued: 2019
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: Comprehensively teaches the basics of testing statistical assumptions in research and the importance in doing so This book facilitates researchers in checking the assumptions of statistical tests used in their research by focusing on the importance of checking assumptions in using statistical methods, showing them how to check assumptions, and explaining what to do if assumptions are not met. Testing Statistical Assumptions in Research discusses the concepts of hypothesis testing and statistical errors in detail, as well as the concepts of power, sample size, and effect size. It introduces SPSS functionality and shows how to segregate data, draw random samples, file split, and create variables automatically. It then goes on to cover different assumptions required in survey studies, and the importance of designing surveys in reporting the efficient findings. The book provides various parametric tests and the related assumptions and shows the procedures for testing these assumptions using SPSS software. To motivate readers to use assumptions, it includes many situations where violation of assumptions affects the findings. Assumptions required for different non-parametric tests such as Chi-square, Mann-Whitney, Kruskal Wallis, and Wilcoxon signed-rank test are also discussed. Finally, it looks at assumptions in non-parametric correlations, such as bi-serial correlation, tetrachoric correlation, and phi coefficient.-An excellent reference for graduate students and research scholars of any discipline in testing assumptions of statistical tests before using them in their research study -Shows readers the adverse effect of violating the assumptions on findings by means of various illustrations -Describes different assumptions associated with different statistical tests commonly used by research scholars -Contains examples using SPSS, which helps facilitate readers to understand the procedure involved in testing assumptions -Looks at commonly used assumptions in statistical…
  table of contents: Importance of Assumptions in Using Statistical Techniques -- Introduction of SPSS and Segregation of Data -- Assumptions in Survey Studies -- Assumptions in Parametric Tests -- Assumptions in Nonparametric Tests -- Assumptions in Nonparametric Correlations -- Statistical Tables.
  note: J.P. Verma, Abdel-Salam G. Abdel-Salam.
  note: Includes bibliographical references and index.
  subject:
    topic: Mathematical statistics
  subject:
    topic: Statistical hypothesis testing
  classification: QA276.A2 V47 2019
  classification: 001.4/22
  classification: 417
  related item:
    title info:
      title: Testing statistical assumptions in research
    name:
      name part: Verma, J. P.
    origin info:
      publisher: Hoboken, NJ : John Wiley & Sons, 2019
    identifier: (DLC) 2018055959
  identifier: 9781119528401
  identifier: 1119528402
  identifier: 9781119528395
  identifier: 1119528399
  identifier: 9781119528418 (hardcover)
  identifier: 1119528380
  identifier: 9781119528388
  identifier: 1119528410
  identifier: 2019020235
  identifier: CL0501000072 Safari Books Online
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: DLC
    record creation date: 190424
    record change date: 20260215001053.0
    record identifier: in00005690458
    language of cataloging:
      language term: eng