You are here

Essentials of Research Methods in Human Sciences
Share

Essentials of Research Methods in Human Sciences

Three Volume Set
  • Jari Metsamuuronen - Adjunct Professor and Special Evaluation Expert, Finnish Education Evaluation Centre, Helsinki, Finland.


February 2017 | 1 888 pages | SAGE India

Watch Jari Metsamuuronen talk about Essentials of Research Methods in Human Sciences

These books, as a whole, serve as a “one-stop-shop” or “all-in-one guide” in introducing those at the very beginning of research, beginner university students, distance education students and students in vocational higher education (polytechnics), to the world of basic research methodology – to both the basic qualitative and quantitative methodology. At the same time, the books suits for non-mathematician and non-statistician professional researchers, professors, and lecturers of varied disciplines by providing a practical understanding of tens of possibilities of analysing the dataset. These provide a step-by-step guidance on running of statistical analyses with SPSS dialogue boxes, interpretation of results.

The set is divided into three volumes:

Volume 1: Elementary Basics leads the beginners into the basics – of research as a process, test construction, qualitative research, statistical description and – inference as well as into the basics of futures studies.

Volume 2: Multivariate Analysis teaches analyzing the quantitative dataset with the classical multivariate methods, such as Regression analysis, Factor analysis, Analysis of Variance, and Discrimination – and Classification analysis. The practical part is illustrated by using SPSS software.

Volume 3: Advanced Analysis teaches advanced methods in analyzing a quantitative dataset, with Non-parametric statistics, Experimental studies, Multi-level modeling, Structural Equation Modeling (SEM) and Path Modeling as well as Survival analysis.

These are the FIRST English language editions of the original Finnish handbook (4th edition of which was published in 2011), which is used as a textbook in almost all universities in Finland and in 26 different domains including Education, Special Education, Psychology, Sociology, Nursing, Marketing, Statistics, Military, and Sports. It has served the Finnish readers as a “one-stop shop” guide for scholars at UG level, distance education and in vocational higher education; faculty and professional researchers of varied disciplines; and also to those seeking a practical understanding of analyzing the dataset.

 
Volume 1: Elementary Basis
 
Preface and Acknowledgments
 
Introduction
 
SECTION I: BASICS OF METHODOLOGY IN HUMAN SCIENCES
 
Introduction and Objectives
 
Topic of the Study
 
Finding the Literature
 
Concepts
 
Research Problems and Hypothesis
 
Research Design and Sampling
 
Measurement Instrument and Its Trustworthiness
 
Results and Selection of the Method
 
Discussion and Implications for Practice
 
SECTION II: BASICS OF TEST THEORY AND TEST CONSTRUCTION
 
Introduction and a Brief History of Test Theory
 
Principles of Writing Items
 
The Process of Creating a Measurement Instrument
 
Validity of the Measurement
 
Classical Test Theory
 
Latent Ability and Item Response Theory
 
Principles of Item Banking and Adaptive Testing
 
Two Practical Examples of Test Construction
 
SECTION III: BASICS OF QUALITATIVE RESEARCH
 
Introduction to the Qualitative Research
 
Concepts of Qualitative Research
 
Strategies to Acquire Qualitative Knowledge
 
Methods to Acquire the Qualitative Data
 
Analysis and Interpretation of Qualitative Data
 
Qualitative Report
 
Combining Qualitative and Quantitative Approaches
 
SECTION IV: BASICS OF FUTURES STUDIES
 
Introduction to Futures Studies
 
Futures Studies and Scientific Knowledge
 
Weak Signals and Decision Making
 
Methods for the Futures Studies
 
SECTION V: BASICS OF STATISTICAL DESCRIPTION
 
Introduction to Statistical Analysis
 
Data
 
Condensing the Data: Basic Statistics
 
Cross-tabulation
 
Scales and Correlation
 
Testing the Difference of Means
 
SECTION VI: BASICS OF STATISTICAL INFERENCE
 
Introduction to Statistical Inference
 
Probability
 
Population, Sampling, and Probability Distributions and Their Use
 
Principles of Hypothesis Testing
 
Examples of Significance Testing
 
Confidence Interval
 
Effect Size and Principles of Meta-analysis
 
References
 
Index
 
Volume 2: Multivariate Analysis
 
Preface and Acknowledgments
 
SECTION I: BASICS OF SPSS SOFTWARE
 
Introduction to SPSS
 
Basic Matters and Data Entry
 
Composite Variables and Scale Reliability
 
Analyzing the Dependence and Correlation between Variables
 
Comparing Two Means
 
Illustrating the Results, Using the Graphical Possibilities of SPSS
 
SECTION II: BASICS OF MULTIVARIATE ANALYSIS
 
A Glossary for a Beginner Researcher
 
Multivariate Analysis in Human Sciences
 
Family of Factor Analysis
 
Family of Regression Analysis
 
Family of Analysis of Variance
 
Family of Cluster and Classification Analysis
 
References
 
Index
 
Volume 3: Advanced Analysis
 
Preface and Acknowledgments
 
SECTION I: BASICS OF NONPARAMETRIC STATISTICS
 
Brief Glossary for a Beginner Researcher
 
Introduction
 
Introduction to Nonparametric Methods
 
Tests for One Sample
 
Tests for Related Samples
 
Tests for Independent Samples
 
Nonparametric Measures of Association
 
Views on Nonparametric Multivariate Methods
 
SECTION II: BASICS OF EXPERIMENTAL RESEARCH IN HUMAN SCIENCES
 
Introduction to Experimental Research
 
Experimental Designs
 
Analyzing Experimental Designs
 
SECTION III: BASICS OF MULTILEVEL MODELING
 
Introduction to Multilevel Modeling
 
Traditional Linear Regression Analysis
 
Special Characteristics of Multilevel Modeling
 
Multilevel Modeling Using HLM
 
Multilevel Modeling Using MLwiN
 
Multilevel Modeling Using SPSS
 
Diagnostic Examination of the Models
 
General Comparison of the Software Packages
 
SECTION IV: BASICS OF SEM AND PATH MODELING IN AMOS ENVIRONMENT
 
Background and History of SEM
 
Research Questions and Assumptions in SEM
 
Briefly on Theory and Concepts
 
Technical Execution with AMOS
 
SECTION V: BASICS OF SURVIVAL ANALYSIS
 
Introduction to Survival Analysis
 
Life Tables
 
Survival Analysis
 
References
 
Index

“A tremendous job in bringing basic and advanced methods together, offering an extensive toolbox to researchers and students.” 

Jimmie Leppink,
Maastricht University, The Netherlands

“One of the most comprehensive guides on SPSS...easier to read…much more informative.” —        

Lisa Jo Elliott,
Missouri Western State University, USA

“If you are an SPSS user looking for a how-to book on this matter, this would be an obvious choice.”

Jacob Brauner,
University of Copenhagen, Denmark

Preview this book

Jari Metsamuuronen

Jari Metsämuuronen is Adjunct Professor and Special Evaluation Expert at Finnish Education Evaluation Centre, Helsinki, Finland. He worked for 10 years as a nurse, primarily in emergency rooms. In 1990, he graduated with a PhM of education (classroom teacher). After gaining a degree in statistics, he made his doctoral dissertation in the area of education. His thesis, Interests and Intentional Learning, concerned the structures of commitment in intentional learning. The second monograph, Intentional Learning and Motive Structures, concerned the structures of motives in intentional learning. In 1999, he was named as an Adjunct Professor of... More About Author

Purchasing options

Please select a format:

ISBN: 9789386042965