Fundamental of Research Methodology and Statistics 1st Edition by Yogesh Kumar Singh ISBN 1281788848 9781281788849 by Yogesh Kumar Singh 9788122424188, 8122418864 instant download after payment.

Fundamental of Research Methodology and Statistics 1st Edition by Yogesh Kumar Singh - Ebook PDF Instant Download/Delivery: 1281788848, 9781281788849 
Full download Fundamental of Research Methodology and Statistics 1st Edition after payment

Product details:

ISBN 10: 1281788848 
ISBN 13: 9781281788849
Author: Yogesh Kumar Singh

• Purpose of the book: bridging research theory and statistical practice.
• Target audience (undergraduate/graduate students, early career researchers).
• Key features and pedagogical approach (e.g., real-world examples, step-by-step guides).
• How to use the book effectively.

Fundamental of Research Methodology and Statistics 1st Table of contents:

Part I: Foundations of Research Methodology

• Chapter 1: Introduction to Research
  • 1.1 What is Research? Definitions and Purpose.
  • 1.2 Characteristics of Good Research.
  • 1.3 Types of Research: Basic vs. Applied, Quantitative vs. Qualitative, Exploratory, Descriptive, Explanatory.
  • 1.4 The Research Process: A Step-by-Step Guide.
  • 1.5 Ethics in Research: Principles and Guidelines (informed consent, confidentiality, plagiarism).
• Chapter 2: Formulating a Research Problem
  • 2.1 Identifying a Research Area and Topic.
  • 2.2 Reviewing the Literature: Purpose, Process, and Tools.
  • 2.3 Defining the Research Problem and Objectives.
  • 2.4 Developing Research Questions and Hypotheses.
  • 2.5 Variables: Types and Measurement Scales (Nominal, Ordinal, Interval, Ratio).
• Chapter 3: Research Design
  • 3.1 What is Research Design? Importance and Components.
  • 3.2 Experimental Designs: True Experimental, Quasi-Experimental, Pre-Experimental.
  • 3.3 Non-Experimental Designs: Survey Research, Correlational, Ex Post Facto, Causal-Comparative.
  • 3.4 Qualitative Research Designs: Case Study, Ethnography, Phenomenology, Grounded Theory.
  • 3.5 Mixed Methods Research Designs.
  • 3.6 Validity and Reliability in Research Design.
• Chapter 4: Sampling Techniques
  • 4.1 Population vs. Sample: Key Concepts.
  • 4.2 Why Sample? Advantages and Limitations.
  • 4.3 Probability Sampling Methods: Simple Random, Stratified, Systematic, Cluster, Multi-stage.
  • 4.4 Non-Probability Sampling Methods: Convenience, Purposive, Quota, Snowball.
  • 4.5 Determining Sample Size.
  • 4.6 Sampling Errors and Bias.
• Chapter 5: Data Collection Methods and Instruments
  • 5.1 Primary vs. Secondary Data.
  • 5.2 Quantitative Data Collection: Questionnaires (design, types of questions), Surveys, Structured Observation, Experiments.
  • 5.3 Qualitative Data Collection: Interviews (structured, semi-structured, unstructured), Focus Groups, Unstructured Observation, Content Analysis.
  • 5.4 Developing and Testing Research Instruments (pilot testing, reliability and validity of instruments).
  • 5.5 Data Management and Organization.

Part II: Fundamentals of Statistics for Research

• Chapter 6: Introduction to Statistics and Data Presentation
  • 6.1 What is Statistics? Role in Research.
  • 6.2 Types of Data and Variables Revisited.
  • 6.3 Organizing and Grouping Data.
  • 6.4 Tabular Presentation of Data.
  • 6.5 Graphical Presentation of Data: Histograms, Bar Charts, Pie Charts, Line Graphs, Scatter Plots.
  • 6.6 Introduction to Statistical Software (e.g., SPSS, R, Excel – basic overview).
• Chapter 7: Descriptive Statistics: Measures of Central Tendency and Dispersion
  • 7.1 Measures of Central Tendency: Mean, Median, Mode.
  • 7.2 Measures of Dispersion (Variability): Range, Interquartile Range, Variance, Standard Deviation.
  • 7.3 Skewness and Kurtosis: Describing Distribution Shapes.
  • 7.4 Choosing the Appropriate Descriptive Statistic.
• Chapter 8: Probability and Probability Distributions
  • 8.1 Basic Concepts of Probability.
  • 8.2 Discrete Probability Distributions (e.g., Binomial, Poisson).
  • 8.3 Continuous Probability Distributions (e.g., Normal Distribution).
  • 8.4 The Standard Normal Distribution (Z-scores).
  • 8.5 Central Limit Theorem.
• Chapter 9: Inferential Statistics: Estimation and Hypothesis Testing
  • 9.1 Population Parameters vs. Sample Statistics.
  • 9.2 Point Estimation and Interval Estimation (Confidence Intervals).
  • 9.3 Introduction to Hypothesis Testing: Null and Alternative Hypotheses.
  • 9.4 Type I and Type II Errors.
  • 9.5 Significance Level (α) and p-value.
  • 9.6 Steps in Hypothesis Testing.
• Chapter 10: Parametric Tests for Comparing Means
  • 10.1 t-Tests:
    • One-Sample t-Test.
    • Independent Samples t-Test.
    • Paired Samples t-Test.
  • 10.2 Analysis of Variance (ANOVA):
    • One-Way ANOVA.
    • Two-Way ANOVA (if covered in fundamentals).
    • Post-Hoc Tests.
• Chapter 11: Non-Parametric Tests
  • 11.1 When to Use Non-Parametric Tests.
  • 11.2 Chi-Square Tests (χ2): Goodness-of-Fit, Test of Independence.
  • 11.3 Mann-Whitney U Test (Non-parametric equivalent of independent t-test).
  • 11.4 Wilcoxon Signed-Rank Test (Non-parametric equivalent of paired t-test).
  • 11.5 Kruskal-Wallis Test (Non-parametric equivalent of one-way ANOVA).
• Chapter 12: Correlation and Regression
  • 12.1 Correlation: Understanding Relationships Between Variables.
  • 12.2 Pearson's Correlation Coefficient (r).
  • 12.3 Spearman's Rank-Order Correlation Coefficient (ρ).
  • 12.4 Simple Linear Regression: Prediction and Model Building.
  • 12.5 Interpreting Regression Output (R2, coefficients, p-values).
  • 12.6 Multiple Regression (basic introduction, if applicable).

Part III: Advanced Topics and Research Reporting

• Chapter 13: Introduction to Qualitative Data Analysis
  • 13.1 Principles of Qualitative Data Analysis.
  • 13.2 Thematic Analysis.
  • 13.3 Content Analysis (for qualitative data).
  • 13.4 Using Qualitative Software (e.g., NVivo, ATLAS.ti – brief mention).
• Chapter 14: Writing and Presenting Research
  • 14.1 Structure of a Research Report/Thesis/Dissertation.
  • 14.2 Writing the Introduction and Literature Review.
  • 14.3 Describing Methodology (Research Design, Participants, Instruments, Procedures).
  • 14.4 Presenting Results (Tables, Figures, Statistical Interpretation).
  • 14.5 Discussion, Conclusion, and Recommendations.
  • 14.6 Referencing and Citation Styles.
  • 14.7 Oral Presentations and Poster Sessions.

People also search for Fundamental of Research Methodology and Statistics 1st:

    
fundamental of research methodology and statistics
    
fundamentals of research methodology and data collection
    
what are the fundamentals of research
    
what is statistics in research methodology
    
basic statistics in research methodology
    
fundamentals of research methodology

Tags: Yogesh Kumar Singh, Fundamental, Methodology