Testing Statistical Assumptions In Research
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Testing Statistical Assumptions In Research
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Author : J. P. Verma
language : en
Publisher: John Wiley & Sons
Release Date : 2019-03-04
Testing Statistical Assumptions In Research written by J. P. Verma and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-04 with Mathematics categories.
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.
Testing Statistical Assumptions In Research
DOWNLOAD
Author : J. P. Verma
language : en
Publisher: John Wiley & Sons
Release Date : 2019-03-04
Testing Statistical Assumptions In Research written by J. P. Verma and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-04 with Mathematics categories.
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.
Sweating The Small Stuff Does Data Cleaning And Testing Of Assumptions Really Matter In The 21st Century
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Author :
language : en
Publisher: Frontiers E-books
Release Date :
Sweating The Small Stuff Does Data Cleaning And Testing Of Assumptions Really Matter In The 21st Century written by and has been published by Frontiers E-books this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Evaluating Statistical Validity Of Research Reports
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Author : Amanda L. Golbeck
language : en
Publisher:
Release Date : 1986
Evaluating Statistical Validity Of Research Reports written by Amanda L. Golbeck and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Decision making categories.
Statistical Analysis For Education And Psychology Researchers
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Author : Ian Peers
language : en
Publisher: Routledge
Release Date : 2006-02-27
Statistical Analysis For Education And Psychology Researchers written by Ian Peers and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-02-27 with Education categories.
Basic statistical concepts such as probability, estimation and inference, and their role in research design and analysis are presented in this volume. The author demonstrates which statistical test to use in given circumstances and how to use it, drawing on data from psychology and education.; Written for those without a strong mathematical background, the book's examples can be worked using a pocket calculator. "Real life" data are analyzed using statistical software (SAS), output is interpreted, and a decision chart is presented which summarizes considerations when choosing a statistical test.
Experimental Research Methods In Language Learning
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Author : Aek Phakiti
language : en
Publisher: Bloomsbury Publishing
Release Date : 2014-12-18
Experimental Research Methods In Language Learning written by Aek Phakiti and has been published by Bloomsbury Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-18 with Language Arts & Disciplines categories.
Language learning research aims to describe and fully explain how and why language learning takes place, but can fall short of its stated purpose. Systematic, rigorous research is needed if the growing field of language learning is to progress methodically. This book demonstrates and fully explains such a methodology. Given that research in language acquisition yields practical pedagogical implications, it is crucial that it is rigorous and accurate. This book offers a quantitative research methodology that relies on statistical analysis in order to make inferences and conclusions about language learning. Experimental research aims to understand differences between or within groups of learners under manipulated environments. It requires strict control of conditions, enabling interpretations with a low factor of error. Aek Phakiti provides step-by-step guidelines and underlying principles, epistemology and methodology, in a book that is essential for advanced students of language acquisition and language and education.
Research Methodology And Statistical Methods
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Author : Morgan Shields
language : en
Publisher: Scientific e-Resources
Release Date : 2019-08-13
Research Methodology And Statistical Methods written by Morgan Shields and has been published by Scientific e-Resources this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-13 with categories.
The objective is to indicate instructors that the use of research standards can make them more successful in their activity of advancing learning. The fundamental point is that we don't need to quit educating to do investigate; explore is something we can do while instructing and on the off chance that we do great research, we will improve the situation educating. Research methodology and statistics is a reference direct which offers a legitimate and thorough diagram of key terms and ideas in the regions of research and statistics as concerns the field of connected etymology. The book is expected as an asset to depict the importance and utilization of different ideas, approaches, methods, plans, strategies, instruments, sorts, and procedures of connected semantics look into in a productive and open style. A few sections identifying with measurable parts of research are likewise utilized in order to help the specialist in the effective definition, examination, and execution of the exploration outline and convey the same towards its consistent end.
General Technical Report Psw
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Author :
language : en
Publisher:
Release Date : 1978
General Technical Report Psw written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1978 with Forests and forestry categories.
Integrating Fire Management Analysis Into Land Management Planning
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Author : Thomas John Mills
language : en
Publisher:
Release Date : 1983
Integrating Fire Management Analysis Into Land Management Planning written by Thomas John Mills and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983 with Forest fires categories.
Design And Analysis In Educational Research
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Author : Kamden K. Strunk
language : en
Publisher: Routledge
Release Date : 2020-04-02
Design And Analysis In Educational Research written by Kamden K. Strunk and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-02 with Education categories.
NEW: updated eResources, 'Case Studies for Teaching on Race, Racism and Black Lives Matter.' Please see Support Material tab to download the new resources. This book presents an integrated approach to learning about research design alongside statistical analysis concepts. Strunk and Mwavita maintain a focus on applied educational research throughout the text, with practical tips and advice on how to do high-quality quantitative research. Design and Analysis in Educational Research teaches research design (including epistemology, research ethics, forming research questions, quantitative design, sampling methodologies, and design assumptions) and introductory statistical concepts (including descriptive statistics, probability theory, sampling distributions), basic statistical tests (like z and t), and ANOVA designs, including more advanced designs like the factorial ANOVA and mixed ANOVA, using SPSS for analysis. Designed specifically for an introductory graduate course in research design and statistical analysis, the book takes students through principles by presenting case studies, describing the research design principles at play in each study, and then asking students to walk through the process of analyzing data that reproduce the published results. An online eResource is also available with data sets. This textbook is tailor-made for first-level doctoral courses in research design and analysis, and will also be of interest to graduate students in education and educational research.