Research Methodology Methods and Techniques PDF 2020 by CR Kothari & Gaurav Garg
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2020
C R Kothari & Gaurav Garg
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This book provides a comprehensive and advanced discussion on research methodology for social science students and researchers. It details different research methods and techniques, including data analysis using SPSS.
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NEW AGE RESEARCH METHODOLOGY FOURTH...
NEW AGE RESEARCH METHODOLOGY FOURTH EDITION METHODS AND TECHNIQUES RESEARCH C R KOTHARI METHODOLOGY Former Principal, College of Commerce METHODS AND TECHNIQUES University of Rajasthan, Jaipur, Rajasthan, India FOURTH EDITION GAURAV GARG Primary Research Associate Professor Indian Institute of Management, Lucknow, Uttar Pradesh, India ta In-h osit rn nt Re Da te Clie Validatio Data p al ou n se ory In 360o Research Soc esea arc ry R ial rch se da h Re con Med ISBN : 978 93 86649 22 5 Se ia Competitors Sources Price : 399.00 C R KOTHARI GAURAV GARG Pub Date : 2020 Format : Paperback Extent : 480 Pages Contents: About the Book: Research Methodology: This fourth multi colour edition has been made better equipped to make the learning more An Introduction systematic. More details are added to old chapters keeping in mind the need of advanced data Defining the Research analysis in social science research. The usage of popular statistical package SPSS has also Problem been shown through many examples. Research Design It is important to adopt an appropriate methodology in quality research. The present book Design of Sample Surveys provides the basic and advanced level discussion on research methodology so that the Measurement and Scaling researchers may become familiar with the art of using research methods and techniques. Data Collection Data Preparation The book is intended to serve as a textbook for social science students at graduate and Descriptive Statistics postgraduate level. The book can be taken as a well-organised guide for researchers in social science and other areas. Sampling and Statistical Inference About the Authors: Testing of Hypothesis Dr. C R Kothari was the Principal, College of Commerce and Associate Professor in the Chi-Square Tests Department of Economic Administration and Financial Management, University of Analysis of Variance Rajasthan, Jaipur, Rajasthan, India. Other Nonparametric Methods Dr. Gaurav Garg is an Associate Professor in Decision Sciences Area, Indian Institute of Linear Regression Analysis Management, Lucknow, Uttar Pradesh, India. Factor Analysis Discriminant Analysis Cluster Analysis Other Multivariate Techniques Click Here to Buy the Book Online Interpretation and Report Writing Readership and Market Potential: Undergraduate/postgraduate students and faculties of Research Methodology, Commerce, Management and Social Science University and college libraries Researchers and Professionals. Committed to Educate the Nation NEW AGE INTERNATIONAL (P) LIMITED, PUBLISHERS LONDON NEW DELHI NAIROBI IN INDIA NEW AGE RESEARCH METHODOLOGY METHODS AND TECHNIQUES FOURTH EDITION Primary Research ta In- osit rn nt Re Da te Clie ho or n p atio al lid us y Va e a In t Da 360o Research So esea ar ry cia rch R se da ch lM Re con ed Se ia Competitors Sources C R KOTHARI GAURAV GARG RESEARCH METHODOLOGY METHODS AND TECHNIQUES Click Here to Buy the Book Online RESEARCH METHODOLOGY METHODS AND TECHNIQUES FOURTH EDITION C R KOTHARI Former Principal, College of Commerce University of Rajasthan, Jaipur Rajasthan (India) GAURAV GARG Associate Professor Indian Institute of Management Lucknow, Uttar Pradesh (India) NEW AGE INTERNATIONAL (P) LIMITED, PUBLISHERS LONDON NEW DELHI NAIROBI Click Here to Buy the Book Online Copyright © 2019, 2014, 2004, 1990, 1985, New Age International (P) Ltd., Publishers Published by New Age International (P) Ltd., Publishers First Edition: 1985 Fourth Multi Colour Edition: 2019 Reprint: 2020 All rights reserved. No part of this book may be reproduced in any form, by photostat, microfilm, xerography, or any other means, or incorporated into any information retrieval system, electronic or mechanical, without the written permission of the publisher. GLOBAL OFFICES New Delhi NEW AGE INTERNATIONAL (P) LIMITED, PUBLISHERS 7/30 A, Daryaganj, New Delhi-110002, (INDIA) Tel.: (011) 23253771, 23253472, Telefax: 23267437, 43551305 E-mail: [email protected] Visit us at www.newagepublishers.com London NEW AGE INTERNATIONAL (UK) LTD. 27 Old Gloucester Street, London, WC1N 3AX, UK E-mail: [email protected] Visit us at www.newacademicscience.co.uk Nairobi NEW AGE GOLDEN (EAST AFRICA) LTD. 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Shah Road, Paltan Bazar, Near Starline Hotel, Guwahati-781 008, Tel.: (0361) 2513881, Telefax: 2543669, E-mail: [email protected] Hyderabad 105, 1st Floor, Madhiray Kaveri Tower, 3-2-19, Azam Jahi Road, Near Kumar Theater, Nimboliadda Kachiguda, Hyderabad-500 027, Tel.: (040) 24652456, Telefax: 24652457 E-mail: [email protected] Kolkata RDB Chambers (Formerly Lotus Cinema) 106A, 1st Floor, S N Banerjee Road, Kolkata-700 014 Tel.: (033) 22273773, Telefax: 22275247, E-mail: [email protected] Lucknow 16-A, Jopling Road, Lucknow-226 001, Tel.: (0522) 2209578, 4045297, Telefax: 2204098 E-mail: [email protected] Mumbai 142C, Victor House, Ground Floor, N.M. Joshi Marg, Lower Parel, Mumbai-400 013 Tel.: (022) 24927869, Telefax: 24915415, E-mail: [email protected] New Delhi 22, Golden House, Daryaganj, New Delhi-110 002, Tel.: (011) 23262368, 23262370 Telefax: 43551305, E-mail: [email protected] ISBN: 978-93-86649-22-5 C-19-07-12158 Printed in India at Goyal Offset, Delhi. Typeset at In-house, Delhi. NEW AGE INTERNATIONAL (P) LIMITED, PUBLISHERS 7/30 A, Daryaganj, New Delhi-110002 Visit us at www.newagepublishers.com (CIN: U74899DL1966PTC004618) Click Here to Buy the Book Online Preface to the Fourth Edition Exhaustive and rigorous transformation in third edition from second edition left very less scope of further improvement in this fourth edition. However, as improvement is a continuous and never ending process, we present this fourth edition to you. In this edition, we corrected some mistakes and added some new problems along with the datasets. No new topic has been added and no change has been made in overall structure of the book. The datasets used in the solved and unsolved problems are available on the New Age International Publishers website: (i) Go to www.newagepublishers.com (ii) On the left top, go to search and enter author name or title name or ISBN number (iii) Book details appear. Open the book page (iv) Under ‘About the Book’ click at supplementary data. It has been great working with New Age International Publishers. It is good to see that they believe in continuous improvement of this popular textbook. I look forward for your feedback based on which we may think of improving this text further. GAURAV GARG (vii) Click Here to Buy the Book Online Contents Preface to the Fourth Edition (vii) Preface to the Third Edition (ix) Preface to the Second Edition (x) Preface to the First Edition (xi) 1. Research Methodology: An Introduction 1 1.1 Meaning of Research 1 1.2 Objectives of Research 2 1.3 Types of Research 2 1.4 Research Approaches 4 1.5 Significance of Research 5 1.6 Research Methods versus Methodology 6 1.7 Research and Scientific Method 8 1.8 Research Process 9 1.9 Criteria of Good Research 19 1.10 Problems Encountered by Researchers in India 20 Problems 21 2. Defining the Research Problem 22 2.1 What is a Research Problem? 22 2.2 Selecting the Problem 23 2.3 Necessity of Defining the Problem 24 2.4 Technique Involved in Defining a Problem 25 (xiii) Click Here to Buy the Book Online viii Contents 2.5 An Illustration 27 2.6 Conclusion 28 Problems 28 3. Research Design 29 3.1 Meaning of Research Design 29 3.2 Need for Research Design 30 3.3 Features of a Good Design 31 3.4 Important Concepts Relating to Research Design 31 3.4.1 Dependent and Independent Variables 32 3.4.2 Extraneous Variable 32 3.4.3 Control 32 3.4.4 Confounded Relationship 32 3.4.5 Research Hypothesis 33 3.4.6 Experimental and Non-Experimental Hypothesis-Testing Research 33 3.4.7 Experimental and Control Groups 33 3.4.8 Treatments 33 3.4.9 Experiment 34 3.4.10 Experimental Unit(s) 34 3.5 Different Research Designs 34 3.5.1 Research Design in Case of Exploratory Research Studies 34 3.5.2 Research Design in Case of Descriptive and Diagnostic Research Studies 35 3.5.3 Research Design in Case of Hypothesis-Testing Research Studies 38 3.6 Basic Principles of Experimental Designs 38 3.7 Important Experimental Designs 39 3.7.1 Before-and-After Without Control Design 40 3.7.2 After-Only with Control Design 40 3.7.3 Before-and-After with Control Design 41 3.7.4 Completely Randomized Design (C.R. Design) 41 3.7.5 Randomized Block Design (R.B. Design) 44 3.7.6 Latin Square Design (L.S. Design) 45 3.7.7 Factorial Designs 46 3.8 Conclusion 51 Problems 51 4. Design of Sample Surveys 52 4.1 Introduction 52 4.2 Sample Design 52 Click Here to Buy the Book Online Contents ix 4.3 Sampling and Non-sampling Errors 54 4.3.1 Sampling Errors 54 4.3.2 Non-sampling Errors 55 4.4 Sample Survey Vs. Census Survey 55 4.5 Types of Sampling Designs 55 4.5.1 Non-probability Sampling 55 4.5.2 Probability Sampling 56 4.5.3 Complex Random Sampling Designs 58 Problems 64 5. Measurement and Scaling 66 5.1 Quantitative and Qualitative Data 66 5.2 Classifications of Measurement Scales 67 5.3 Goodness of Measurement Scales 70 5.4 Sources of Error in Measurement 72 5.5 Techniques of Developing Measurement Tools 72 5.6 Scaling 73 5.7 Scale Classification Bases 74 5.8 Scaling Techniques 75 5.8.1 Comparative Scaling Techniques 76 5.8.2 Non-comparative Scaling Techniques 79 5.9 Multidimensional Scaling 86 5.10 Deciding the Scale 87 Summary 87 Problems 87 6. Data Collection 89 6.1 Introduction 89 6.2 Experiments and Surveys 89 6.3 Collection of Primary Data 91 6.3.1 Difference between Questionnaire and Schedule 100 6.3.2 Guidelines for Constructing Questionnaire/Schedule 101 6.3.3 Some Other Methods of Data Collection 102 6.4 Collection of Secondary Data 107 6.5 Selection of Appropriate Method for Data Collection 108 6.6 Case Study Method 109 Problems 113 Click Here to Buy the Book Online x Contents 7. Data Preparation 114 7.1 Data Preparation Process 114 7.1.1 Questionnaire Checking 114 7.1.2 Editing 115 7.1.3 Coding 115 7.1.4 Classification 116 7.1.5 Tabulation 119 7.1.6 Graphical Representation 121 7.1.7 Data Cleaning 124 7.1.8 Data Adjusting 124 7.2 Some Problems in Preparation Process 125 7.3 Missing Values and Outliers 126 7.4 Types of Analysis 126 7.5 Statistics in Research 127 Problems 128 8. Descriptive Statistics 129 8.1 Measures of Central Tendency 129 8.1.1 Mean 129 8.1.2 Median 130 8.1.3 Mode 131 8.1.4 Other Averages 131 8.2 Measures of Dispersion 132 8.2.1 Range 132 8.2.2 Mean Deviation 132 8.2.3 Standard Deviation 133 8.3 Measures of Skewness 134 8.4 Kurtosis 136 8.5 Measures of Relationship 136 8.5.1 Covariance 138 8.5.2 Karl Pearson's Coefficient of Correlation 139 8.5.3 Rank Correlation 140 8.6 Association in Case of Attributes 140 8.7 Other Measures 143 8.7.1 Index Numbers 143 8.7.2 Time Series 144 Problems 146 Click Here to Buy the Book Online Contents xi 9. Sampling and Statistical Inference 147 9.1 Parameter and Statistic 148 9.2 Sampling and Non-sampling Errors 148 9.3 Sampling Distribution 149 9.3.1 Sampling Distribution of Mean 150 9.3.2 Sampling Distribution of Proportion 150 9.3.3 Student’s t-Distribution 151 9.3.4 Chi-square (2) Distribution 151 9.3.5 Snedecor’s F-Distribution 152 9.4 Degree of Freedom 152 9.5 Standard Error 152 9.6 Central Limit Theorem 153 9.7 Finite Population Correction 154 9.8 Statistical Inference 154 9.8.1 Point Estimation 154 9.8.2 Interval Estimation 156 9.8.3 Sample Size and its Determination 162 9.8.4 Tests of Significance (Hypothesis Testing) 170 Problems 175 10. Testing of Hypothesis 179 10.1 What is a Hypothesis? 179 10.2 Basic Concepts Concerning Testing of Hypothesis 180 10.2.1 Null Hypothesis and Alternative Hypothesis 180 10.2.2 Type I and Type II Errors 181 10.2.3 Level of Significance 182 10.2.4 Two-Tailed and One-Tailed Tests 182 10.3 Testing the Hypothesis 183 10.4 Test Statistic and Critical Region 183 10.5 Critical Value and Decision Rule 184 10.6 Procedure for Hypothesis Testing 185 10.7 Hypothesis Testing for Mean 187 10.8 Hypothesis Testing for Proportion 190 10.9 Hypothesis Testing for Variance 191 10.10 Hypothesis Testing for Difference of Two Mean 194 10.11 Hypothesis Testing for Difference of Two Proportions 198 10.12 Hypothesis Testing for Difference of Two Variances 199 Click Here to Buy the Book Online xii Contents 10.13 P-Value Approach 202 10.14 Power of the Test 204 10.15 Limitations of the Tests of Hypotheses 206 Problems 230 11. Chi-Square Tests 235 11.1 Test of Difference of more than Two Proportions 235 11.2 Test of Independence of Attributes 237 11.2.1 Alternative Formula 242 11.2.2 Yates' Correction 242 11.2.3 Magnitude of Association 243 11.2.4 Coefficient of Contingency 243 11.3 Test of Goodness of Fit 244 11.3.1 Goodness of Fit Test for Normal Distribution 245 11.4 Caution in Using Chi Square Tests 247 Problems 256 12. Analysis of Variance 261 12.1 The ANOVA Technique 261 12.2 The Basic Principle of ANOVA 262 12.3 One Way ANOVA 263 12.3.1 Analysis of Variance Table 264 12.3.2 Short-cut Method for One-way ANOVA 265 12.3.3 Critical Difference 269 12.4 Two Way ANOVA 271 12.4.1 One Observation per Cell 271 12.4.2 More than One Observations Per Cell 274 12.5 Latin-square Design 277 12.6 Analysis of Co-variance (ANOCOVA) 281 12.7 Assumptions in ANOCOVA 282 Problems 286 13. Other Nonparametric Methods 290 13.1 Sign Tests 291 13.1.1 One Sample Sign Test 291 13.1.2 Two Samples Sign Test (Paired Sign Test) 292 Click Here to Buy the Book Online Contents xiii 13.2 Wilcoxon Signed Rank Sum Test for Single Population 294 13.2.1 Wilcoxon Signed Rank Sum Test (Single Sample) 294 13.2.2 Wilcoxon Signed Rank Sum Test (Paired Samples) or Wilcoxon Matched Pairs Test 295 13.3 Mann Whitney U Test 297 13.4 Run Test 301 13.5 Kruskal Wallis Test 302 13.6 Spearman’s Rank Correlation 304 13.7 Some Features of Non-parametric Tests 309 Problems 310 14. Linear Regression Analysis 312 14.1 Dependent and Independent Variables 312 14.2 Simple Linear Regression Model 313 14.2.1 Least Squares Estimation 313 14.2.2 Coefficient of Determination 316 14.2.3 Standard Error 319 14.2.4 Assumptions or Conditions Required 319 14.2.5 Testing the Hypothesis about the Slope and Correlation Coefficient 323 14.2.6 Confidence Interval Estimate of the Slope 325 14.2.7 Confidence Interval 326 14.2.8 Prediction Interval 326 14.2.9 Using Excel 327 14.3 Multiple Linear Regression Model 328 14.3.1 Least Squares Estimation 329 14.3.2 R2 and Adjusted R2 Coefficients 331 14.3.3 Standard Error 331 14.3.4 Assumptions 332 14.3.5 t-Test for the Slopes 333 14.3.6 F-Test (ANOVA) 334 14.3.7 Confidence Interval Estimates of the Regression Coefficients 335 14.3.8 Confidence Interval of Mean Response and Prediction Interval of Individual Response 336 14.4 Problem of Multicolinearity 336 14.4.1 Variance Inflationary Factor 339 14.4.2 Variable Elimination 340 Click Here to Buy the Book Online xiv Contents 14.5 Qualitative Explanatory Variables 341 14.6 Using SPSS 344 Problems 355 15. Factor Analysis 357 15.1 The Mathematical Basis 357 15.2 Important Methods of Factor Analysis 358 15.2.1 Centroid Method 359 15.2.2 Principal Components Method 365 15.2.3 Maximum Likelihood Method 370 15.3 Rotation in Factor Analysis 371 15.4 R-Type and Q-Type Factor Analysis 371 15.5 Merits and Demerits of Factor Analysis 371 15.6 Using SPSS 372 Problems 381 16. Discriminant Analysis 382 16.1 Introduction 382 16.2 Two Group Discriminant Analysis 385 16.2.1 Methodology 386 16.2.2 Assumptions 387 16.2.3 Using SPSS 387 16.2.4 Predicting Group Membership 391 16.3 Multiple Discriminant Analysis 392 16.3.1 Methodology 392 16.3.2 Using SPSS 392 Problems 395 17. Cluster Analysis 396 17.1 Introduction 396 17.2 Distance Measures 397 17.3 Clustering Algorithms 398 17.3.1 Non-hierarchical Clustering 398 17.3.2 Hierarchical Clustering 403 17.4 Agglomerative Clustering 403 17.4.1 Combining Clusters 403 17.4.2 Using SPSS 404 Problems 408 Click Here to Buy the Book Online Contents xv 18. Other Multivariate Techniques 409 18.1 Characteristics and Applications 410 18.2 Classification of Multivariate Techniques 410 18.3 Some Multivariate Techniques 411 18.3.1 Path Analysis 412 18.3.2 Canonical Correlation 413 18.3.3 Multidimensional Scaling 414 18.3.4 Multivariate ANOVA 414 18.3.5 Latent Structure Analysis 415 18.4 Conclusions 415 Problems 415 19. Interpretation and Report Writing 416 19.1 Meaning of Interpretation 416 19.2 Techniques of Interpretation 417 19.3 Precautions in Interpretation 417 19.4 Significance of Report Writing 418 19.5 Different Steps in Writing Report 419 19.6 Layout of the Research Report 420 19.7 Types of Reports 422 19.8 Oral Presentation 425 19.9 Mechanics of Writing a Research Report 425 19.10 Precautions for Writing Research Reports 430 19.11 Conclusion 431 Problems 431 Appendix 433 Selected References and Recommended Readings 449 Index 455 Click Here to Buy the Book Online Research Methodology: 1 1 Chapter An Introduction 1.1 MEANING OF RESEARCH Research in common parlance refers to a search for knowledge. One can also define research as a scientific and systematic search for pertinent information on a specific topic. In fact, research is an art of scientific investigation. Dictionary definition of research is a careful investigation or inquiry specially through search for new facts in any branch of knowledge. Some people consider research as a movement from the known to the unknown. It is actually a voyage of discovery. We all possess the vital instinct of inquisitiveness. When the unknown confronts us, more and more our inquisitiveness makes us probe and attain understanding of the unknown. This inquisitiveness is the mother of all knowledge and the method, which one employs for obtaining the knowledge of whatever the unknown, can be termed as research. Research is an academic activity and as such the term should be used in a technical sense. According to Clifford Woody, research comprises defining and redefining problems, formulating hypothesis or suggested solutions; collecting, organising and evaluating data; making deductions and reaching conclusions; and at last carefully testing the conclusions to determine whether they fit the formulating hypothesis. D. Slesinger and M. Stephenson in the Encyclopaedia of Social Sciences define research as “the manipulation of things, concepts or symbols for the purpose of generalising to extend, correct or verify knowledge, whether that knowledge aids in construction of theory or in the practice of an art.” Research is, thus, an original contribution to the existing stock of knowledge making for its advancement. It is the pursuit of truth with the help of study, observation, comparison and experiment. In short, the search for knowledge through objective and systematic method of finding solution to a problem is research. The systematic approach concerning generalisation and the formulation of a theory is also research. As such the term ‘research’ refers to the systematic method consisting of enunciating the problem, formulating a hypothesis, collecting the facts or data, analysing the facts and reaching certain conclusions either in the form of solution(s) towards the concerned problem or in certain generalisations for some theoretical formulation. 1 Click Here to Buy the Book Online 2 Research Methodology 1.2 OBJECTIVES OF RESEARCH The purpose of research is to discover answers to questions through the application of scientific procedures. The main aim of research is to find out the truth which is hidden and which has not been discovered as yet. Though each research study has its own specific purpose, we mention some general objectives of research below: (i) To gain familiarity with a phenomenon or to achieve new insights into it (studies with this object in view are termed as exploratory or formulative research studies); (ii) To portray accurately the characteristics of a particular individual, situation or a group (studies with this object in view are known as descriptive research studies); (iii) To determine the frequency with which something occurs or with which it is associated with something else (studies with this object in view are known as diagnostic research studies); (iv) To test a hypothesis of a causal relationship between variables (such studies are known as hypothesis-testing research studies). 1.3 TYPES OF RESEARCH The basic types of research are as follows: (i) Descriptive vs. Analytical: Descriptive research includes surveys and fact-finding enquiries of different kinds. The major purpose of descriptive research is description of the state of affairs as it exists at present. In social science and business research we quite often use the term Ex post facto research for descriptive research studies. The main characteristic of this method is that the researcher has no control over the variables; he can only report what has happened or what is happening. Most ex post facto research projects are used for descriptive studies in which the researcher seeks to measure such items as, for example, frequency of shopping, preferences of people, or similar data. Ex post facto studies also include attempts by researchers to discover causes even when they cannot control the variables. The methods of research utilized in descriptive research are survey methods of all kinds, including comparative and correlational methods. In analytical research, on the other hand, the researcher has to use facts or information already available, and analyze these to make a critical evaluation of the material. (ii) Applied vs. Fundamental: Applied research aims at finding a solution for an immediate problem facing a society or an industrial/business organisation, whereas fundamental research is mainly concerned with generalisations and with the formulation of a theory. Gathering knowledge for knowledge’s sake is termed fundamental research. Research concerning some natural phenomenon or relating to pure mathematics are examples of fundamental research. Similarly, research studies, concerning human behaviour carried on with a view to make generalisations about human behaviour, are also examples of fundamental research. However, research aimed at certain conclusions facing a concrete social or business problem is an example of applied research. Research to identify social, economic or political trends that may affect a particular institution, marketing research, evaluation research are examples of applied research. Thus, the central aim of applied research is to discover a solution for Click Here to Buy the Book Online Research Methodology: An Introduction 3 some pressing practical problems, whereas basic research is directed towards finding CHAPTER 1 information that has a broad base of applications and thus, adds to the already existing organized body of scientific knowledge. (iii) Quantitative vs. Qualitative: Quantitative research is based on the quantitative measurements of some characterstics. It is applicable to phenomena that can be expressed in terms of quantities. Qualitative research, on the other hand, is concerned with qualitative phenomenon, i.e., phenomena relating to or involving quality or kind. For instance, when we are interested in investigating the reasons for human behaviour (i.e., why people think or do certain things), we quite often talk of ‘Motivation Research’, an important type of qualitative research. This type of research aims at discovering the underlying motives and desires, using in depth interviews for the purpose. Other techniques of such research are word association tests, sentence completion tests, story completion tests and similar other projective techniques. Attitude or opinion research i.e., research designed to find out how people feel or what they think about a particular subject or institution is also qualitative research. Qualitative research is specially important in the behavioural sciences where the aim is to discover the underlying motives of human behaviour. Through such research we can analyse the various factors which motivate people to behave in a particular manner or which make people like or dislike a particular thing. It may be stated, however, that to apply for qualitative research in practice is relatively a difficult job and therefore, while doing such research, one should seek guidance from experimental psychologists. (iv) Conceptual vs. Empirical: Conceptual research is that related to some abstract idea(s) or theory. It is generally used by philosophers and thinkers to develop new concepts or to reinterpret existing ones. On the other hand, empirical research relies on experience or observation alone, often without due regard for system and theory. It is data-based research, coming up with conclusions which are capable of being verified by observation or experiment. We can also call it as experimental type of research. In such a research it is necessary to get facts at firsthand, at their source, and actively to go about doing certain things to stimulate the production of desired information. In such a research, the researcher must first provide himself with a working hypothesis or guess as to the probable results. He then works to get enough facts (data) to prove or disprove his hypothesis. He then sets up experimental designs which he thinks will manipulate the persons or the materials concerned so as to bring forth the desired information. Such research is thus characterised by the experimenter’s control over the variables under study and his deliberate manipulation of one of them to study its effects. Empirical research is appropriate when proof is sought that certain variables affect other variables in some way. Evidence gathered through experiments or empirical studies are considered to be the most powerful support possible for testing a given hypothesis. (v) Some Other Types of Research: All other types of research are variations of one or more of the above stated approaches, based on either the purpose of research, or the time required to accomplish research, on the environment in which research is done, or on the basis of some other similar factors. Form the point of view of time, we can think of research either as one-time research or longitudinal research. In the former case the research is confined to a single time-period, whereas in the latter case the research is carried on over Click Here to Buy the Book Online 4 Research Methodology several time-periods. Research can be field-setting research or laboratory research or simulation research, depending upon the environment in which it is to be carried out. Research can as well be understood as clinical or diagnostic research. Such research follow case-study methods or indepth approaches to reach the basic casual relations. Such studies usually go deep into the causes of things or events that interest us, using very small samples and very deep probing data gathering devices. The research may be exploratory or it may be formalized. The objective of exploratory research is the development of hypotheses rather than their testing, whereas formalized research studies are those with substantial structure and with specific hypotheses to be tested. Historical research is that which utilizes historical sources like documents, remains, etc. to study events or ideas of the past, including the philosophy of persons and groups at any remote point of time. Research can also be classified as conclusion-oriented and decision-oriented. While doing conclusion-oriented research, a researcher is free to pick up a problem, redesign the enquiry as he proceeds and is prepared to conceptualize as he wishes. Decision-oriented research is always for the need of a decision maker and the researcher in this case is not free to embark upon research according to his own inclination. Operations research is an example of decision oriented research since it is a scientific method of providing executive departments with a quantitative basis for decisions regarding operations under their control. 1.4 RESEARCH APPROACHES The above description of the types of research brings to light the fact that there are two basic approaches to research, viz., quantitative approach and the qualitative approach. The former involves the generation of data in quantitative form which can be subjected to rigorous quantitative analysis in a formal and rigid fashion. This approach can be further sub-classified into inferential, experimental and simulation approaches to research. The purpose of inferential approach is to form a data base to infer characteristics or relationships of population. This usually means survey research where a sample of population is studied (questioned or observed) to determine its characteristics, and it is then inferred that the population has the same characteristics. Experimental approach is characterised by much greater control over the research environment and in this case some variables are manipulated to observe their effect on other variables. Simulation approach involves the construction of an artificial environment within which relevant information and data can be generated. This permits an observation of the dynamic behaviour of a system (or its sub-system) under controlled conditions. The term ‘simulation’ in the context of business and social sciences applications refers to “the operation of a numerical model that represents the structure of a dynamic process. Given the values of initial conditions, parameters and exogenous variables, a simulation is run to represent the behaviour of the process over time.” Simulation approach can also be useful in building models for understanding future conditions. Qualitative approach to research is concerned with subjective assessment of attitudes, opinions and behaviour. Research in such a situation is a function of researcher’s insights and impressions. Such an approach to research generates results either in non-quantitative form or in the form which is not subjected to rigorous quantitative and analysis. Generally, the techniques of focus group interviews, projective techniques and depth interviews are used. All these are explained at length in chapters that follow. Click Here to Buy the Book Online Research Methodology: An Introduction 5 1.5 SIGNIFICANCE OF RESEARCH CHAPTER 1 “All progress is born of inquiry. Doubt is often better than overconfidence, for it leads to inquiry, and inquiry leads to invention” is a famous Hudson Maxim in context of which the significance of research can well be understood. Increased amounts of research make progress possible. Research inculcates scientific and inductive thinking and it promotes the development of logical habits of thinking and organisation. The role of research in several fields of applied economics, whether related to business or to the economy as a whole, has greatly increased in modern times. The increasingly complex nature of business and governance has focussed attention on the use of research in solving operational problems. Research, as an aid to economic policy, has gained added importance, both for governance and business. Research provides the basis for nearly all government policies in our economic system. For instance, government’s budgets rest in part on an analysis of the needs and desires of the people and on the availability of revenues to meet those needs. The cost of needs has to be equated to probable revenues and this is a field where research is most needed. Through research we can devise alternative policies and can as well examine the consequences of each of these alternatives. Decision-making may not be a part of research, but research certainly facilitates the decisions of the policy maker. Government has to chalk out programmes for dealing with all facets of the country’s various operations and most of these are related directly or indirectly to economic conditions. The plight of cultivators, the problems of big and small business and industry, working conditions, trade union activities, the problems of distribution, even the size and nature of defence services are matters requiring research. Thus, research is considered necessary with regard to the allocation of nation’s resources. Another area in government, where research is necessary, is collecting information on the economic and social structure of the nation. Such information indicates what is happening in the economy and what changes are taking place. Collecting such statistical information is by no means a routine task, but it involves a variety of research problems. These days nearly all governments maintain large staff of research technicians or experts to carry on this work. Thus, in the context of government, research as a tool to economic policy has three distinct phases of operation, viz., (i) investigation of economic structure through continual compilation of facts; (ii) diagnosis of events that are taking place and the analysis of the forces underlying them; and (iii) the prognosis, i.e., the prediction of future developments. Research has its special significance in solving various operational and planning problems of business and industry. Operations research and market research, along with motivational research, are considered crucial and their results assist, in more than one way, in taking business decisions. Market research is the investigation of the structure and development of a market for the purpose of formulating efficient policies for purchasing, production and sales. Operations research refers to the application of mathematical, logical and analytical techniques to the solution of business problems of cost minimisation or of profit maximisation or what can be termed as optimisation problems. Motivational research of determining why people behave as they do is mainly concerned with market characteristics. In other words, it is concerned with the determination of motivations underlying the consumer (market) behaviour. All these are of great help to people in business and industry who are responsible for taking business decisions. Research with regard to demand and market factors has great utility in business. Given knowledge of future demand, it is generally not difficult for a firm, or for an industry Click Here to Buy the Book Online 6 Research Methodology to adjust its supply schedule within the limits of its projected capacity. Market analysis has become an integral tool of business policy these days. Business budgeting, which ultimately results in a projected profit and loss account, is based mainly on sales estimates which in turn depends on business research. Once sales forecasting is done, efficient production and investment programmes can be set up around which are grouped as the purchasing and financing plans. Research, thus, replaces intuitive business decisions by more logical and scientific decisions. Research is equally important for social scientists in studying social relationships and in seeking answers to various social problems. It provides the intellectual satisfaction of knowing a few things just for the sake of knowledge and also has practical utility for the social scientist to know for the sake of being able to do something better or in a more efficient manner. Research in social sciences is concerned with (i) the development of a body of principles that helps in understanding the whole range of human interactions, and (ii) the practical guidance in solving immediate problems of human relations. In addition to what has been stated above, the significance of research can also be understood keeping in view the following points: (a) To those students who are to write a master’s or Ph.D. thesis, research may mean a careerism or a way to attain a high position in the social structure; (b) To professionals in research methodology, research may mean a source of livelihood; (c) To philosophers and thinkers, research may mean the outlet for new ideas and insights; (d) To literary men and women, research may mean the development of new styles and creative work; and (e) To analysts and intellectuals, research may mean the development of new theories. Thus, research is the fountain of knowledge for the sake of knowledge and an important source of providing guidelines for solving different business, governmental and social problems. It is a sort of formal training which enables one to understand the new developments in one’s field in a better way. 1.6 RESEARCH METHODS VERSUS METHODOLOGY It seems appropriate at this juncture to explain the difference between research methods and research methodology. Research methods may be understood as all those methods/techniques that are used for conduction of research. Research methods or techniques, thus, refer to the methods the researchers use in performing research operations. In other words, all those methods which are used by the researcher during the course of studying his research problem are termed as research methods. Since the object of research, particularly the applied research, it to arrive at a solution for a given problem, the available data and the unknown aspects of the problem have to be related to each other to make a solution possible. Keeping this in view, research methods can be put into the following three groups: 1. In the first group we include those methods which are concerned with the collection of data. These methods will be used where the data already available is not sufficient to arrive at the required solution; Click Here to Buy the Book Online Research Methodology: An Introduction 7 2. The second group consists of those statistical techniques which are used for establishing CHAPTER 1 relationships between the data and the unknowns; 3. The third group consists of those methods which are used to evaluate the accuracy of the results obtained. Research methods falling in the above stated last two groups are generally taken as the analytical tools of research. At times, a distinction is also made between research techniques and research methods. Research techniques refer to the behaviour and instruments we use in performing research operations such as making observations, recording data, techniques of processing data and the like. Research methods refer to the behaviour and instruments used in selecting and constructing research technique. For instance, the difference between methods and techniques of data collection can better be understood from the details given in the following chart: Type Methods Techniques 1. Library (i) Analysis of historical Recording of notes, Content analysis, Tape and Film listening and Research records analysis. (ii) Analysis of documents Statistical compilations and manipulations, reference and abstract guides, contents analysis. 2. Field (i) Non-participant direct Observational behavioural scales, use of score cards, etc. Research observation (ii) Participant observation Interactional recording, possible use of tape recorders, photographic techniques. (iii) Mass observation Recording mass behaviour, interview using independent observers in public places. (iv) Mail questionnaire Identification of social and economic background of respondents. (v) Opinionnaire Use of attitude scales, projective techniques, use of sociometric scales. (vi) Personal interview Interviewer uses a detailed schedule with open and closed questions. (vii) Focussed interview Interviewer focuses attention upon a given experience and its effects. (viii) Group interview Small groups of respondents are interviewed simultaneously. (ix) Telephone survey Used as a survey technique for information and for discerning opinion; may also be used as a follow up of questionnaire. (x) Case study and life history Cross-sectional collection of data for intensive analysis, longitudinal collection of data of intensive character. 3. Laboratory Small group study of random Use of audio-visual recording devices, use of observers, etc. Research behaviour, play and role analysis From what has been stated above, we can say that methods are more general. It is the method that generate techniques. However, in practice, the two terms are taken as interchangeable and when we talk of research methods we do, by implication, include research techniques within their compass. Research methodology is a way to systematically solve the research problem. It may be understood as a science of studying how research is done scientifically. In it we study the various steps that are generally adopted by a researcher in studying his research problem along with the logic behind them. It is necessary for the researcher to know not only the research methods/techniques but also the methodology. Researchers not only need to know how to develop certain indices or tests, how to calculate the mean, the mode, the median or the standard deviation or chi-square, how to apply particular research techniques, but they also need to know which of these methods or techniques, are relevant and which are not, and what would they mean and indicate. Researchers also need to Click Here to Buy the Book Online 8 Research Methodology understand the assumptions underlying various techniques and they need to know the criteria by which they can decide that certain techniques and procedures will be applicable to certain problems and others will not. All this means that it is necessary for the researcher to design a methodology for his problem as the same may differ from problem to problem. For example, an architect, who designs a building, has to consciously evaluate the basis of his decisions, i.e., he has to evaluate why and on what basis he selects particular size, number and location of doors, windows and ventilators, uses particular materials and not others and the like. Similarly, in research the scientist has to expose the research decisions to evaluation before they are implemented. He has to specify very clearly and precisely what decisions he selects and why he selects them so that they can be evaluated by others also. From what has been stated above, we can say that research methodology has many dimensions and research methods do constitute a part of the research methodology. The scope of research methodology is wider than that of research methods. Thus, when we talk of research methodology we not only talk of the research methods but also consider the logic behind the methods we use in the context of our research study and explain why we are using a particular method or technique and why we are not using others so that research results are capable of being evaluated either by the researcher himself or by others. Why a research study has been undertaken, how the research problem has been defined, in what way and why the hypothesis has been formulated, what data have been collected and what particular method has been adopted, why particular technique of analysing data has been used and a host of similar other questions are usually answered when we talk about research methodology concerning a research problem or study. 1.7 RESEARCH AND SCIENTIFIC METHOD For a clear perception of the term research, one should know the meaning of scientific method. The two terms, research and scientific method, are closely related. In research, we study the nature, reasons, and the consequences of a set of circumstances which are controlled experimentally or observed as they appear. Researcher is usually interested in particular results, the repetitions of those results, and generalizations. On the other hand, the philosophy common to all research methods and techniques, although they may vary considerably from one science to another, is usually given the name of scientific method. In this context, Karl Pearson writes, “The scientific method is one and same in the branches (of science) and that method is the method of all logically trained minds … the unity of all sciences consists alone in its methods, not its material; the man who classifies facts of any kind whatever, who sees their mutual relation and describes their sequences, is applying the scientific method and is a man of science.” Scientific method is the pursuit of truth as determined by logical considerations. The ideal of science is to achieve a systematic interrelation of facts. Scientific method attempts to achieve this ideal by experimentation, observation, logical arguments from accepted postulates and a combination of these three in varying proportions. In scientific method, logic aids in formulating propositions explicitly and accurately so that their possible alternatives become clear. Further, logic develops the consequences of such alternatives, and when these are compared with observable phenomena, it becomes possible for the researcher or the scientist to state which alternative is the most in harmony with the observed facts. All this is done through experimentation and survey investigations which constitute the integral parts of scientific method. Click Here to Buy the Book Online Research Methodology: An Introduction 9 Experimentation is done to test hypotheses and to discover new relationships, if any, among CHAPTER 1 variables. However, sometimes the conclusions drawn on the basis of experimental data may be misleading for either faulty assumptions, poorly designed experiments, badly executed experiments or faulty interpretations. As such the researcher must pay all possible attention while developing the experimental design and drawing inferences. The purpose of survey investigations may also be to provide scientifically gathered information to work as a basis for the researchers for their conclusions. The scientific method is, thus, based on certain basic postulates which can be stated as under: 1. It relies on empirical evidence; 2. It utilizes relevant concepts; 3. It is committed to only objective considerations; 4. It aims at nothing but making only adequate and correct statements about population objects; 5. It results into probabilistic predictions; 6. Its methodology is made known to all concerned for critical scrutiny and are for use in testing the conclusions through replication; 7. It aims at formulating most general axioms or what can be termed as scientific theories. Thus, the scientific method encourages a rigorous, method wherein the researcher is guided by the rules of logical reasoning, a method wherein the investigation proceeds in an orderly manner and a method that implies internal consistency. 1.8 RESEARCH PROCESS Before embarking on the details of research methodology and techniques, it seems appropriate to present a brief overview of the research process. Research process consists of series of actions or steps necessary to effectively carry out research. The chart shown in Figure 1.1 illustrates a research process. The chart indicates that the research process consists of a number of closely related activities, as shown through I to VII. But such activities overlap continuously rather than following a strictly prescribed sequence. At times, the first step determines the nature of the last step to be undertaken. If subsequent procedures have not been taken into account in the early stages, serious difficulties may arise which may even prevent the completion of the study. One should remember that neither various steps involved in a research process are mutually exclusive; nor they are separate and distinct. They do not necessarily follow each other in any specific order and the researcher has to be constantly anticipating at each step in the research process the requirements of the subsequent steps. However, the following order concerning various steps provides a useful procedural guideline regarding the research process: (i) formulating the research problem; (ii) extensive literature survey; (iii) developing the hypothesis; (iv) preparing the research design; (v) determining sample design; (vi) collecting the data; (vii) execution of the project; (viii) analysis of data; (ix) hypothesis testing; (x) generalisations and interpretation; and (xi) preparation of the report or presentation of the results, i.e., formal write-up of conclusions reached. A brief description of the above stated steps will be helpful. Click Here to Buy the Book Online NEW AGE RESEARCH METHODOLOGY FOURTH EDITION METHODS AND TECHNIQUES RESEARCH C R KOTHARI METHODOLOGY Former Principal, College of Commerce METHODS AND TECHNIQUES University of Rajasthan, Jaipur, Rajasthan, India FOURTH EDITION GAURAV GARG Primary Research Associate Professor Indian Institute of Management, Lucknow, Uttar Pradesh, India ta In-h osit rn nt Re Da te Clie Validatio Data p al ou n se ory In 360o Research Soc esea arc ry R ial rch se da h Re con Med ISBN : 978 93 86649 22 5 Se ia Competitors Sources Price : 399.00 C R KOTHARI GAURAV GARG Pub Date : 2020 Format : Paperback Extent : 480 Pages Contents: About the Book: Research Methodology: This fourth multi colour edition has been made better equipped to make the learning more An Introduction systematic. More details are added to old chapters keeping in mind the need of advanced data Defining the Research analysis in social science research. The usage of popular statistical package SPSS has also Problem been shown through many examples. Research Design It is important to adopt an appropriate methodology in quality research. The present book Design of Sample Surveys provides the basic and advanced level discussion on research methodology so that the Measurement and Scaling researchers may become familiar with the art of using research methods and techniques. Data Collection Data Preparation The book is intended to serve as a textbook for social science students at graduate and Descriptive Statistics postgraduate level. The book can be taken as a well-organised guide for researchers in social science and other areas. Sampling and Statistical Inference About the Authors: Testing of Hypothesis Dr. C R Kothari was the Principal, College of Commerce and Associate Professor in the Chi-Square Tests Department of Economic Administration and Financial Management, University of Analysis of Variance Rajasthan, Jaipur, Rajasthan, India. Other Nonparametric Methods Dr. Gaurav Garg is an Associate Professor in Decision Sciences Area, Indian Institute of Linear Regression Analysis Management, Lucknow, Uttar Pradesh, India. Factor Analysis Discriminant Analysis Cluster Analysis Other Multivariate Techniques Click Here to Buy the Book Online Interpretation and Report Writing Readership and Market Potential: Undergraduate/postgraduate students and faculties of Research Methodology, Commerce, Management and Social Science University and college libraries Researchers and Professionals. Committed to Educate the Nation NEW AGE INTERNATIONAL (P) LIMITED, PUBLISHERS LONDON NEW DELHI NAIROBI IN INDIA