A Concise Handbook of Business Research: Special Emphasis on Data Analysis Using MS-Excel and R

Description

This book deals with the basics of Research Methodology (RM) for Business Research and statistical analysis for dealing with data using two software: R (a free statistical analysis environment) and MS-Excel. Apart from the basic concepts of Research Methodology, the book contains an additional chapter on improving academic writing. It contains important details on plagiarism, citation and referencing in MS-Word, and improving project/dissertation writing using free online software. Print edition not for sale in South Asia (India, Sri Lanka, Nepal, Bangladesh, Pakistan or Bhutan) Cover Half Title Title Page Copyright Page Table of Contents Abbreviations Chapter 1: Introduction to Business Research, Research Process, Secondary Data Research, and Its Tools and Techniques 1.1: Definition, Nature, and Scope of Business Research 1.2: Role of Business Research in Decision Making 1.3: Nature of Business Research 1.4: Applications of Business Research 1.5: Management Decision Problem vs Business Research Problem 1.6: The Research Process 1.7: The Research Proposal 1.8: The format for Dissertation/Project Work 1.9: Ethical Issues in Your Research Work 1.10: Research Problem and Its Formulation 1.10.1: Writing a Problem and the Purpose Statement in Your Project/Thesis 1.10.2: From Where to Search for a Good Problem to Work on? 1.11: Literature Review 1.12: Research Design 1.13: Types of Research 1.13.1: Exploratory Research (A Type of Qualitative Research) 1.13.2: Descriptive Research (A Type of Quantitative Study) 1.13.3: Casual and Correlational (A Type of Quantitative Study) 1.14: Validity in Experiment: Internal and External Validity 1.15: Secondary Data Research 1.15.1: Secondary Data advantages and Disadvantages 1.15.2: Criteria for Evaluating Secondary Sources 1.15.3: Secondary Data Sources in the Indian Context 1.16: Syndicate Research: Tentative Exam Questions Chapter 2: Primary Data Research and Its Tools and Techniques 2.1: Primary Data 2.1.1: Collecting Primary Data: Survey, Observation, and Interview 2.1.2: Survey Methods: Questionnaire and Interview Method 2.1.3: Observation Method 2.2: Random Sample Collection Method 2.3: Survey vs Observations 2.4: Comparison of Self-Administered, Telephone, Mail, e-mails Techniques 2.5: Which Method to Use in a Study Tentative Exam Questions Chapter 3: Measurement, Scaling and Sampling 3.1: Concept of Measurement 3.2: Concept of Scaling 3.3: Scales of Measurement 3.4: Scaling Techniques for Measurement 3.5: Questionnaire-Form & Design 3.5.1: Mode of Presenting a Questionnaire 3.5.2: Important Points on Questionnaire Design 3.6: Fundamentals of Scale Evaluation 3.6.1: Reliability 3.6.2: Validity 3.6.3: Generalizability 3.7: Sampling 3.7.1: Sample 3.7.2: Sampling Techniques 3.7.3: Determination of Sample Size 3.8: Cronbach Alpha Test for Reliability (Using Software) Tentative Exam Questions Chapter 4: Data and Method of Analysis (Using Excel and R) 4.1: Introduction to Excel and R for Statistical Data Analysis 4.2: Introduction to R 4.3: Data and Method of Analysis 4.3.1: Data Visualization 4.3.2: Bivariate Analysis 4.3.3: Multivariate Analysis Tentative Exam Questions Chapter 5: Improving Academic Writing (Additional Chapter) 5.1: Referencing and In-text Citation 5.1.1: Adding In-text Citation and References in MS -Word 2016 5.2: Plagiarism, What it is? How to Detect? and How-to Remove? 5.2.1: Plagiarism Detection and Removal 5.3: Improve Your Academic Writing Using Free Software Grammarly Tentative Exam Questions References 1.1: Random Number Table 2.1: Standardized Normal Distribution 3.1: Critical Value of t 4.1: Critical Value of Chi-Square (x2) 5.1: Critical Value of F Index