|
Showing 1 - 10 of
10 matches in All Departments
This book provides readers with a greater understanding of a
variety of statistical techniques along with the procedure to use
the most popular statistical software package SPSS. It strengthens
the intuitive understanding of the material, thereby increasing the
ability to successfully analyze data in the future. The book
provides more control in the analysis of data so that readers can
apply the techniques to a broader spectrum of research problems.
This book focuses on providing readers with the knowledge and
skills needed to carry out research in management, humanities,
social and behavioural sciences by using SPSS.
This book, specifically developed for students of psychology,
covers a wide range of topics in statistics and research designs
taught in psychology, in particular, and other disciplines like
management, sociology, education, home science, and nutrition, in
general, in most universities. It explains how to use Excel to
analyze research data by elaborating statistical concepts. Each
chapter contains sections like "Check you Computing skill" and
"Check your Statistical Concepts" to enable students to assess
their knowledge in a graded manner. The book addresses one of the
major challenges in psychology research, viz., how to measure
subjective phenomenon like attitude, desire, and preferences of an
individual. Separate emphasis has been given to the measurement
techniques which are essential tools to assess these subjective
parameters in numerical form, required for statistical analysis to
draw meaningful conclusions. The book is equally helpful to
students of humanities, life sciences and other applied areas.
Consisting of 14 chapters, the book covers all relevant topics of
statistics and research designs which are important for students to
plan and complete their research work.
Introduces the applications of repeated measures design processes
with the popular IBM(R) SPSS(R) software Repeated Measures Design
for Empirical Researchers presents comprehensive coverage of the
formation of research questions and the analysis of repeated
measures using IBM SPSS and also includes the solutions necessary
for understanding situations where the designs can be used. In
addition to explaining the computation involved in each design, the
book presents a unique discussion on how to conceptualize research
problems as well as identify appropriate repeated measures designs
for research purposes. Featuring practical examples from a
multitude of domains including psychology, the social sciences,
management, and sports science, the book helps readers better
understand the associated theories and methodologies of repeated
measures design processes. The book covers various fundamental
concepts involved in the design of experiments, basic statistical
designs, computational details, differentiating independent and
repeated measures designs, and testing assumptions. Along with an
introduction to IBM SPSS software, Repeated Measures Design for
Empirical Researchers includes: A discussion of the popular
repeated measures designs frequently used by researchers, such as
one-way repeated measures ANOVA, two-way repeated measures design,
two-way mixed design, and mixed design with two-way MANOVA Coverage
of sample size determination for the successful implementation of
designing and analyzing a repeated measures study A step-by-step
guide to analyzing the data obtained with real-world examples
throughout to illustrate the underlying advantages and assumptions
A companion website with supplementary IBM SPSS data sets and
programming solutions as well as additional case studies Repeated
Measures Design for Empirical Researchers is a useful textbook for
graduate- and PhD-level students majoring in biostatistics, the
social sciences, psychology, medicine, management, sports, physical
education, and health. The book is also an excellent reference for
professionals interested in experimental designs and statistical
sciences as well as statistical consultants and practitioners from
other fields including biological, medical, agricultural, and
horticultural sciences. J. P. Verma, PhD, is Professor of
Statistics and Director of the Center for Advanced Studies at
Lakshmibai National Institute of Physical Education, India.
Professor Verma is an active researcher in sports modeling and data
analysis and has conducted many workshops on research methodology,
research designs, multivariate analysis, statistical modeling, and
data analysis for students of management, physical education,
social science, and economics. He is the author of Statistics for
Exercise Science and Health with Microsoft(R) Office Excel(R), also
published by Wiley.
This book provides readers with a greater understanding of a
variety of statistical techniques along with the procedure to use
the most popular statistical software package SPSS. It strengthens
the intuitive understanding of the material, thereby increasing the
ability to successfully analyze data in the future. The book
provides more control in the analysis of data so that readers can
apply the techniques to a broader spectrum of research problems.
This book focuses on providing readers with the knowledge and
skills needed to carry out research in management, humanities,
social and behavioural sciences by using SPSS.
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.
This book introduces the use of statistics to solve a variety of
problems in exercise science and health and provides readers with a
solid foundation for future research and data analysis. Statistics
for Exercise Science and Health with Microsoft Office Excel: * Aids
readers in analyzing their own data using the presented statistical
techniques combined with Excel * Features comprehensive coverage of
hypothesis testing and regression models to facilitate modeling in
sports science * Utilizes Excel to enhance reader competency in
data analysis and experimental designs * Includes coverage of both
binomial and poison distributions with applications in exercise
science and health * Provides solved examples and plentiful
practice exercises throughout in addition to case studies to
illustrate the discussed analytical techniques * Contains all
needed definitions and formulas to aid readers in understanding
different statistical concepts and developing the needed skills to
solve research problems
This book addresses sample size and power in the context of
research, offering valuable insights for graduate and doctoral
students as well as researchers in any discipline where data is
generated to investigate research questions. It explains how to
enhance the authenticity of research by estimating the sample size
and reporting the power of the tests used. Further, it discusses
the issue of sample size determination in survey studies as well as
in hypothesis testing experiments so that readers can grasp the
concept of statistical errors, minimum detectable difference,
effect size, one-tail and two-tail tests and the power of the test.
The book also highlights the importance of fixing these boundary
conditions in enhancing the authenticity of research findings and
improving the chances of research papers being accepted by
respected journals. Further, it explores the significance of sample
size by showing the power achieved in selected doctoral studies.
Procedure has been discussed to fix power in the hypothesis testing
experiment. One should usually have power at least 0.8 in the study
because having power less than this will have the issue of
practical significance of findings. If the power in any study is
less than 0.5 then it would be better to test the hypothesis by
tossing a coin instead of organizing the experiment. It also
discusses determining sample size and power using the freeware
G*Power software, based on twenty-one examples using different
analyses, like t-test, parametric and non-parametric correlations,
multivariate regression, logistic regression, independent and
repeated measures ANOVA, mixed design, MANOVA and chi-square.
A step-by-step approach to problem-solving techniques using SPSS(R)
in the fields of sports science and physical education Featuring a
clear and accessible approach to the methods, processes, and
statistical techniques used in sports science and physical
education, Sports Research with Analytical Solution using SPSS(R)
emphasizes how to conduct and interpret a range of statistical
analysis using SPSS. The book also addresses issues faced by
research scholars in these fields by providing analytical solutions
to various research problems without reliance on mathematical
rigor. Logically arranged to cover both fundamental and advanced
concepts, the book presents standard univariate and complex
multivariate statistical techniques used in sports research such as
multiple regression analysis, discriminant analysis, cluster
analysis, and factor analysis. The author focuses on the treatment
of various parametric and nonparametric statistical tests, which
are shown through the techniques and interpretations of the SPSS
outputs that are generated for each analysis. Sports Research with
Analytical Solution using SPSS(R) also features: * Numerous
examples and case studies to provide readers with practical
applications of the analytical concepts and techniques * Plentiful
screen shots throughout to help demonstrate the implementation of
SPSS outputs * Illustrative studies with simulated realistic data
to clarify the analytical techniques covered * End-of-chapter short
answer questions, multiple choice questions, assignments, and
practice exercises to help build a better understanding of the
presented concepts * A companion website with associated SPSS data
files and PowerPoint(R) presentations for each chapter Sports
Research with Analytical Solution using SPSS(R) is an excellent
textbook for upper-undergraduate, graduate, and PhD-level courses
in research methods, kinesiology, sports science, medicine,
nutrition, health education, and physical education. The book is
also an ideal reference for researchers and professionals in the
fields of sports research, sports science, physical education, and
social sciences, as well as anyone interested in learning SPSS.
This book addresses sample size and power in the context of
research, offering valuable insights for graduate and doctoral
students as well as researchers in any discipline where data is
generated to investigate research questions. It explains how to
enhance the authenticity of research by estimating the sample size
and reporting the power of the tests used. Further, it discusses
the issue of sample size determination in survey studies as well as
in hypothesis testing experiments so that readers can grasp the
concept of statistical errors, minimum detectable difference,
effect size, one-tail and two-tail tests and the power of the test.
The book also highlights the importance of fixing these boundary
conditions in enhancing the authenticity of research findings and
improving the chances of research papers being accepted by
respected journals. Further, it explores the significance of sample
size by showing the power achieved in selected doctoral studies.
Procedure has been discussed to fix power in the hypothesis testing
experiment. One should usually have power at least 0.8 in the study
because having power less than this will have the issue of
practical significance of findings. If the power in any study is
less than 0.5 then it would be better to test the hypothesis by
tossing a coin instead of organizing the experiment. It also
discusses determining sample size and power using the freeware
G*Power software, based on twenty-one examples using different
analyses, like t-test, parametric and non-parametric correlations,
multivariate regression, logistic regression, independent and
repeated measures ANOVA, mixed design, MANOVA and chi-square.
|
You may like...
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
Tenet
John David Washington, Robert Pattinson, …
DVD
R53
Discovery Miles 530
Ab Wheel
R209
R149
Discovery Miles 1 490
|