research methodology and statistical analysis for m.com pdf

Download Research Methodology and Statistical Analysis Book – M. Com Study Material

• Exam Updates
• January 5, 2021

Check out the detailed information about the Research Methodology and Statistical Analysis Book in this page. And, also we were updating the Unit links of the Research Methodology and Statistical Analysis Notes PDF below for the students to download. And, this is the M. Com IInd Year Subject. Scroll the page for more information about the subject.

Research Methodology and Statistical Analysis Book

Research Methodology and Statistical Analysis involves a study of planning, collection of data, drawing, meaningful interpretation, collection data, etc. And, also the Statistical Analysis gives Meaningless number, breathing life into lifeless data.

And, also it gives a blueprint for different researchers to follow, and allow them to study by their own methods to arrive at a similar finding. And, the two approaches to methodology formation is different.

There are five types in Research Methodology and Statistic

• Descriptive Type
• Inferential Type
• Prescriptive Type
• Mechanistic and Exploratory Analysis

only these students have to refer to this Research Methodology and Statistical Analysis Book

• M. Com IInd Year

Important Topics of Research Methodology and Statistical Analysis Subject

These are the important topics of the Research Methodology subject. The students who want to download the Unit Links, can download them. The links also mentioned below.

Research and Data Collection

Processing and Preservation of Data

Relational and Trend Analysis

Probability and Hypothesis Testing

Interpretation and Reporting

Unit Titles

• Introduction to Business Research
• Research Plan
• Collection of Data
• Measurement and Scaling Techniques
• Processing of Data
• Diagrammatic and Graphic Presentation
• Statistical Derivatives and Measures of Central Tendency
• Measures of Variations and Skewness
• Correlation and Simple Regression
• Times Series Analysis
• Index Numbers
• Probability and Probability Rules
• Probability Distributions
• Tests of Hypothesis-I
• Tests of Hypothesis-II
• Chi-Square Test
• Interpretation of Statistical Data
• Report Writing

The above mentioned are the Unit wise Titles of the Statistical Analysis Subject. And, the Important Topics were mentioned above.

Download Research Methodology and Statistical Analysis Book Download

The table which was mentioned below shows Important Topics links for the candidates to download at the time they want. And, the download links were downloaded with the help of internet accesses only. And, the students need not pay any amount for the download process.

Download Research Methodology and Statistical Analysis PDF

Download Research Methodology and Statistical Analysis PDF, Click on the below link to download the Study Materials :

Similar Books

These are some of the similar books of Research Methodology subject which the candidates have to refer. And, these books were available in any libraries as well.

•  Research Methodology and Statistical by GPH Panel of Experts
• IGNOU Research Methodology and Statistical Analysis by Chakradhar Publications
• Research Methodology and Statistical Analysis by D Obul Reddy
• Research Methodology and Statistical Analysis

Buy through Online

These are books list which was available in the Online store with the reasonable price which the students have to buy.

M.com Course details

The candidates can make a bookmark this article. And, also for any doubts about the article contact us through the comments. So, we can clarify your doubts as early as possible.

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Statistics for Research Students

(2 reviews)

Erich C Fein, Toowoomba, Australia

John Gilmour, Toowoomba, Australia

Tayna Machin, Toowoomba, Australia

Liam Hendry, Toowoomba, Australia

Copyright Year: 2022

ISBN 13: 9780645326109

Publisher: University of Southern Queensland

Language: English

Formats Available

Conditions of use.

Learn more about reviews.

Reviewed by Sojib Bin Zaman, Assistant Professor, James Madison University on 3/18/24

From exploring data in Chapter One to learning advanced methodologies such as moderation and mediation in Chapter Seven, the reader is guided through the entire process of statistical methodology. With each chapter covering a different statistical... read more

Comprehensiveness rating: 5 see less

From exploring data in Chapter One to learning advanced methodologies such as moderation and mediation in Chapter Seven, the reader is guided through the entire process of statistical methodology. With each chapter covering a different statistical technique and methodology, students gain a comprehensive understanding of statistical research techniques.

Content Accuracy rating: 5

During my review of the textbook, I did not find any notable errors or omissions. In my opinion, the material was comprehensive, resulting in an enjoyable learning experience.

Relevance/Longevity rating: 5

A majority of the textbook's content is aligned with current trends, advancements, and enduring principles in the field of statistics. Several emerging methodologies and technologies are incorporated into this textbook to enhance students' statistical knowledge. It will be a valuable resource in the long run if students and researchers can properly utilize this textbook.

Clarity rating: 5

A clear explanation of complex statistical concepts such as moderation and mediation is provided in the writing style. Examples and problem sets are provided in the textbook in a comprehensive and well-explained manner.

Consistency rating: 5

Each chapter maintains consistent formatting and language, with resources organized consistently. Headings and subheadings worked well.

Modularity rating: 5

The textbook is well-structured, featuring cohesive chapters that flow smoothly from one to another. It is carefully crafted with a focus on defining terms clearly, facilitating understanding, and ensuring logical flow.

Organization/Structure/Flow rating: 5

From basic to advanced concepts, this book provides clarity of progression, logical arranging of sections and chapters, and effective headings and subheadings that guide readers. Further, the organization provides students with a lot of information on complex statistical methodologies.

Interface rating: 5

The available formats included PDFs, online access, and e-books. The e-book interface was particularly appealing to me, as it provided seamless navigation and viewing of content without compromising usability.

Grammatical Errors rating: 5

I found no significant errors in this document, and the overall quality of the writing was commendable. There was a high level of clarity and coherence in the text, which contributed to a positive reading experience.

Cultural Relevance rating: 5

The content of the book, as well as its accompanying examples, demonstrates a dedication to inclusivity by taking into account cultural diversity and a variety of perspectives. Furthermore, the material actively promotes cultural diversity, which enables readers to develop a deeper understanding of various cultural contexts and experiences.

In summary, this textbook provides a comprehensive resource tailored for advanced statistics courses, characterized by meticulous organization and practical supplementary materials. This book also provides valuable insights into the interpretation of computer output that enhance a greater understanding of each concept presented.

Reviewed by Zhuanzhuan Ma, Assistant Professor, University of Texas Rio Grande Valley on 3/7/24

The textbook covers all necessary areas and topics for students who want to conduct research in statistics. It includes foundational concepts, application methods, and advanced statistical techniques relevant to research methodologies. read more

The textbook covers all necessary areas and topics for students who want to conduct research in statistics. It includes foundational concepts, application methods, and advanced statistical techniques relevant to research methodologies.

The textbook presents statistical methods and data accurately, with up-to-date statistical practices and examples.

Relevance/Longevity rating: 4

The textbook's content is relevant to current research practices. The book includes contemporary examples and case studies that are currently prevalent in research communities. One small drawback is that the textbook did not include the example code for conduct data analysis.

The textbook break down complex statistical methods into understandable segments. All the concepts are clearly explained. Authors used diagrams, examples, and all kinds of explanations to facilitate learning for students with varying levels of background knowledge.

The terminology, framework, and presentation style (e.g. concepts, methodologies, and examples) seem consistent throughout the book.

The textbook is well organized that each chapter and section can be used independently without losing the context necessary for understanding. Also, the modular structure allows instructors and students to adapt the materials for different study plans.

The textbook is well-organized and progresses from basic concepts to more complex methods, making it easier for students to follow along. There is a logical flow of the content.

The digital format of the textbook has an interface that includes the design, layout, and navigational features. It is easier to use for readers.

The quality of writing is very high. The well-written texts help both instructors and students to follow the ideas clearly.

The textbook does not perpetuate stereotypes or biases and are inclusive in their examples, language, and perspectives.

Table of Contents

• Acknowledgement of Country
• Accessibility Information
• About the Authors
• Introduction
• I. Chapter One - Exploring Your Data
• II. Chapter Two - Test Statistics, p Values, Confidence Intervals and Effect Sizes
• III. Chapter Three- Comparing Two Group Means
• IV. Chapter Four - Comparing Associations Between Two Variables
• V. Chapter Five- Comparing Associations Between Multiple Variables
• VI. Chapter Six- Comparing Three or More Group Means
• VII. Chapter Seven- Moderation and Mediation Analyses
• VIII. Chapter Eight- Factor Analysis and Scale Reliability
• IX. Chapter Nine- Nonparametric Statistics

Ancillary Material

About the book.

This book aims to help you understand and navigate statistical concepts and the main types of statistical analyses essential for research students. 

About the Contributors

Dr Erich C. Fein  is an Associate Professor at the University of Southern Queensland. He received substantial training in research methods and statistics during his PhD program at Ohio State University.  He currently teaches four courses in research methods and statistics.  His research involves leadership, occupational health, and motivation, as well as issues related to research methods such as the following article: “ Safeguarding Access and Safeguarding Meaning as Strategies for Achieving Confidentiality .”  Click here to link to his  Google Scholar  profile.

Dr John Gilmour  is a Lecturer at the University of Southern Queensland and a Postdoctoral Research Fellow at the University of Queensland, His research focuses on the locational and temporal analyses of crime, and the evaluation of police training and procedures. John has worked across many different sectors including PTSD, social media, criminology, and medicine.

Dr Tanya Machin  is a Senior Lecturer and Associate Dean at the University of Southern Queensland. Her research focuses on social media and technology across the lifespan. Tanya has co-taught Honours research methods with Erich, and is also interested in ethics and qualitative research methods. Tanya has worked across many different sectors including primary schools, financial services, and mental health.

Dr Liam Hendry  is a Lecturer at the University of Southern Queensland. His research interests focus on long-term and short-term memory, measurement of human memory, attention, learning & diverse aspects of cognitive psychology.

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