The author takes the readers through seventeen chapters of rich and relevant contents straddling the entire scope of the major aspects of research methods' course contents in tertiary institutions. The book discusses vividly, the basic fundamental issues in research methods and statistics. The book is unique in many respects. One of the strong points of this textbook is its succinctness and clarity. The language of the textbook is terse and temperate; its content is lucid and its organization is systematic. The book is full of many illustrations and examples which the average readers would understand. Its detailed nature also makes it an indispensable companion of students and teachers. The textbook no doubt will provide a ready guide to the successful undertaking of researches in our schools.This textbook has been specifically written to meet the needs of undergraduate and postgraduate programmes especially in education as well as other courses of a comparable level.The emphasis throughout in this book is on providing the readers with sound skills and with a working knowledge and appreciation of the basic concepts involved in educational research methods and statistics
Starting Out in Methods and Statistics for Psychology: a Hands-on Guide to Doing Research takes first year psychology students through the entire process of doing research in psychology from exploring designs and methods, to conducting step-by-step, by-hand data analysis, and writing up their findings, in a friendly and accessible way.
Whether it's designing a study, conducting an experiment, or analyzing the results, research methods are an integral part of Psychology. In this student-friendly introduction, Walker covers the different types of study, quantitative data, statistics and ethics. This book is the perfect tool to help build students' confidence in this vital area.
This is an introduction to research methods designed for advanced undergraduate and beginning graduate level courses. The text emphasizes question formulation, data collection, and the interpretation of results. The author assumes the reader has had a previous course in research methods and statistics.
Introduction to Research Methods and Proposal Writing-1 is designed in response to numerous calls from students in universities and colleges, beginner research scientists, consultants and research assistants to grasp basic concepts, methods and techniques in social science research procedures. The book introduces readers to the evolution of social science research and gives a general overview of what social science research is and what it is not. Forms and types of social science research, research proposal design, methods and data collection techniques are discussed in details to enable students and beginner researchers explore innovative and goal oriented ways of writing excellent research reports, thesis and dissertations. Introduction to Research Methods and Proposal Writing-volume 1, however, does not discuss basic statistics and presentation of graphical data aspects of social science research methods. These are treated separately in ‘Introduction to Research Methods and Proposal Writing-volume 2’ by the same author. Readers are advised to get both volumes in order to maximise their research methods and report writing acumen.
Illustrations, examples and easy to understand presentations of statistical procedures and research methods have dealt with this book. Analysis of variance made easy through computer base statistical analysis. Descriptive statistics dealing with group and ungroup data have been clearly discussed. Data collection, presentation, analysis, interpretations, sampling technique, measures of central tendencies, position, variability, normal distribution of data, skewness and kurtosis have been fully presented. Discussion on Inferential statistics includes; one-way and two-way classification analysis, assumptions underlying ANOVA, factorial experiments, mean comparison, and regression-correlation analysis with some output from SAS. The book also provide Problem Set to test the comprehension and retention of students and any one who may use it for research purposes.
Scientific research is a proven and powerful tool for discovering the answers to biological questions and, as such, today's students need to be well-versed in experimental design, analysis, and the communication of research. As a resource which skillfully integrates all of the key aspects relating to biological research, Research Methods for the Biosciences is the perfect stand-alone guide for undergraduates. Students often struggle to see the relevance of studying research methods. Research Methods for the Biosciences brings the subject to life through the use of examples taken from real undergraduate research. Furthermore, friendly guidance and advice is provided throughout the text, and little prior knowledge or mathematical experience is required. Since statistics is a subject best learned through doing, frequent worked examples appear throughout Part Two, 'handling your data', showing step-by-step how to carry out the various statistical tests.
The book focuses on the discussions and explanations of all the basic ideas, concepts and methods of research and thesis writing skills. The author presents the basic ideas, concepts and principles using a simple language which is easy to understand by both graduate and undergraduate students. This book consists of two parts. The first part deals with the basic ideas, concepts and principles of research Methodology. The second part deals with thesis writing from chapter one to chapter five. The methods for presentation, analysis, interpretation of data are explained. The book also provides a guide for evaluation of individual thesis work, research projects, as well as research papers. This book will be a resource to teachers and students of research methodology, research supervisors and those contemplating to do research work eventually writing their research reports.
The use of advanced and newly developed biostatistical methods usually lag behind their initial discovery by a period ranging from a few years to decades. Most clinical research use well-established “classical” statistics to make statistical inference, for example, presence of association. However, when analyzing research data with complex study designs or data structure, simply relying on “classical” statistical methods such as t-tests or standard procedures from generalized linear model may be inappropriate as the data may not satisfy the underlying model’s assumptions. This book will introduce the use of modern Bayesian methods to address research questions encountered in different areas of clinical and epidemiological research with a focus on eye diseases. The book will analyze data with questions that may be difficult to address using “classical” statistics. These chapters provide valuable information for epidemiologists, clinicians, health service planners and biostatisticians.
This book provides a widespread knowledge about research procedures. There are various procedures in research process. It is therefore necessary to make students understand the basic concepts and different methods of research, with special reference to social science research. Research is one of the most important components in sustainable development, it is necessary to provide the students basic knowledge about research methods and techniques. The book covers different aspects such as basic concepts of research, types of research, preparation of research proposals, sampling methods, data collection methods, data analysis methods and preparation of research report. It is hoped that this book will be provided a sound knowledge to the students and academicians for learning and understanding of research methods and techniques in social science research.
Mathematical finance has grown into a huge area of research which requires a lot of care and a large number of sophisticated mathematical tools. Mathematically rigorous and yet accessible to advanced level practitioners and mathematicians alike, it considers various aspects of the application of statistical methods in finance and illustrates some of the many ways that statistical tools are used in financial applications. Financial Statistics and Mathematical Finance: Provides an introduction to the basics of financial statistics and mathematical finance. Explains the use and importance of statistical methods in econometrics and financial engineering. Illustrates the importance of derivatives and calculus to aid understanding in methods and results. Looks at advanced topics such as martingale theory, stochastic processes and stochastic integration. Features examples throughout to illustrate applications in mathematical and statistical finance. Is supported by an accompanying website featuring R code and data sets. Financial Statistics and Mathematical Finance introduces the financial methodology and the relevant mathematical tools in a style that is both mathematically rigorous and yet accessible to advanced level practitioners and mathematicians alike, both graduate students and researchers in statistics, finance, econometrics and business administration will benefit from this book.
The Statistical Techniques for Data Analysis contains, • Meaning and Definition of Statistics • Measurement and Enumeration • Statistical Frequency Distributions • Measures of Central Tendency • Measures of Variability • Deciles, Percentiles, Percentile Ranks and Standard Scores • Normal Curve • Correlation • Regression • Statistical Inference and Significance of Statistics • Difference Between Means and Other Statistics • Chi-square Test • Non-Parametric Tests • Special Methods of Correlation • ANOVA • Analysis of Variance and Factorial Designs • ANCOVA • Partial and Multiple Correlations • Scaling of Tests • Item Analysis • Reliability and Validity • Factor Analysis • Use of Computer in Educational Research. The book provide the clear understanding of basic descriptive and inferential statistics. It shows the practical understanding of statistics, in data analysis. It contains enough suitable illustrations for manual computation. This book will be useful for new researchers of M.Ed., M.Phil. and Ph.D., to choose the suitable techniques for data analysis.
Offering a variety of innovative methods and tools, The Oxford Handbook of Multi- and Mixed-Methods Research Inquiry provides the most comprehensive and up-to-date presentation on multi- and mixed-methods research available.
A unique primer on quantitative methods as applied to Islamic finance Introductory Mathematics and Statistics for Islamic Finance + Website is a comprehensive guide to quantitative methods, specifically as applied within the realm of Islamic finance. With applications based on research, the book provides readers with the working knowledge of math and statistics required to understand Islamic finance theory and practice. The numerous worked examples give students with various backgrounds a uniform set of common tools for studying Islamic finance. The in-depth study of finance requires a strong foundation in quantitative methods. Without a good grasp of math, probability, and statistics, published theoretical and applied works in Islamic finance remain out of reach. Unlike a typical math text, this book guides students through only the methods that directly apply to Islamic finance, without wasting time on irrelevant techniques. Each chapter contains a detailed explanation of the topic at hand, followed by an example based on real situations encountered in Islamic finance. Topics include: Algebra and matrices Calculus and differential equations Probability theory Statistics Written by leading experts on the subject, the book serves as a useful primer on the analysis methods and techniques students will encounter in published research, as well as day-to-day operations in finance. Anyone aspiring to be successful in Islamic finance needs these skills, and Introductory Mathematics and Statistics for Islamic Finance + Website is a clear, concise, and highly relevant guide.