عنوان

Testing statistical assumptions in research /

شابک

1119528380

شابک

1119528399

شابک

1119528402

شابک

9781119528388

شابک

9781119528395

شابک

9781119528401

شابک اشتباه

1119528410

شابک اشتباه

9781119528418 (hardcover)

عنوان اصلي

Testing statistical assumptions in research /

نام عام مواد

[Book]

نام نخستين پديدآور

J.P. Verma, Abdel-Salam G. Abdel-Salam.

محل نشرو پخش و غیره

Hoboken, NJ :

نام ناشر، پخش کننده و غيره

Wiley,

تاریخ نشرو بخش و غیره

2019.

نام خاص و کميت اثر

1 online resource

متن يادداشت

Includes bibliographical references and index.

متن يادداشت

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.

بدون عنوان

0

متن يادداشت

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 tests, such as z, t and F tests, ANOVA, correlation, and regression analysis Testing Statistical Assumptions in Research is a valuable resource for graduate students of any discipline who write thesis or dissertation for empirical studies in their course works, as well as for data analysts.

منبع سفارش / آدرس اشتراک

Safari Books Online

شماره انبار

CL0501000072

عنوان

Testing statistical assumptions in research

شماره استاندارد بين المللي کتاب و موسيقي

9781119528418

موضوع مستند نشده

Mathematical statistics.

موضوع مستند نشده

Statistical hypothesis testing.

موضوع مستند نشده

Mathematical statistics.

موضوع مستند نشده

MATHEMATICS-- Applied.

موضوع مستند نشده

MATHEMATICS-- Probability & Statistics-- General.

موضوع مستند نشده

Statistical hypothesis testing.

موضوع مستند نشده

MAT-- 003000

موضوع مستند نشده

MAT-- 029000

شماره

ويراست

شماره رده

مستند نام اشخاص تاييد نشده

Verma, J. P.

مستند نام اشخاص تاييد نشده

Abdel-Salam, Abdel-Salam G.

تاريخ عمليات

20200822154617.0

قواعد فهرست نويسي ( بخش توصيفي )

rda

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y