Statistical Methodologies For Research Paper Writing

Dr Munshi Naser
Last Update October 9, 2024
1 already enrolled

About This Course

Exclusive Offer:

We’re excited to offer two free live classes from this course, giving you the chance to experience our interactive learning environment firsthand. This allows you to explore the course content and teaching style before making a commitment. Simply send us a message on WhatsApp (+8801733302077) or schedule your class directly through cal.com/ssdrf/free-classes.

 

The course “Statistical Methodologies for Research Paper Writing using JASP” is designed to equip learners with the essential statistical tools and techniques needed for effective research analysis, with a focus on using JASP, a user-friendly open-source software. This course will guide students through the fundamentals of statistical research, covering key topics such as descriptive statistics, hypothesis testing, and advanced statistical techniques like regression analysis and ANOVA. Participants will learn how to apply these methodologies in academic research, interpret data, and present findings in a research paper. Through hands-on practice in JASP, quizzes, and practical assignments, learners will gain both theoretical knowledge and practical skills, enabling them to conduct thorough statistical analyses for their research projects.

NB: If you’re purchasing from outside of Bangladesh, please complete your payment through Buy Me a Coffee. The international pricing is $50 USD. After making the payment, kindly share your email address via our official WhatsApp number. If you don’t automatically receive access within 6 hours, we’ll assist you promptly.

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Learning Objectives

How to use JASP for statistical analysis in research papers.
Understand key statistical concepts like hypothesis testing, regression analysis, and ANOVA.
Interpret statistical data and apply it in research writing.
Present statistical findings in a clear and accurate manner.

Requirements

  • Basic understanding of research methodology.
  • Access to a computer with JASP installed (instructions for installation will be provided).
  • Interest in data analysis and statistics.

Target Audience

  • University students, researchers, and academics who want to improve their statistical analysis skills.
  • Beginners in statistics who are writing research papers.
  • Anyone looking to learn how to use JASP for academic research

Curriculum

5 Lessons

Introduction to JASP

JASP- The Best Free Software| No SPSS, Use JASP||JASP র সাথে পরিসংখ্যান শিখুন এবং ফ্রিল্যান্সিং করুন13:07
Survey Data analysis in Free JASP software| How to Collect, Code Primary or Survey Data in JASP14:01
How To Enter Primary/Survey Data Into JASP? From Questionnaire to Data Analysis With Real Example|14:16
Quiz 1

Online Class

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Your Instructors

Dr Munshi Naser

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Dr. Munshi Naser Ibne Afzal
Associate Professor, Department of Economics, SUST

Dr. Munshi Naser is an accomplished academic and researcher with over 50 publications and extensive teaching experience. He is an Associate Professor at the Department of Economics, Shahjalal University of Science and Technology (SUST), and an adjunct faculty member at the University of Southern Queensland (USQ), Australia. His research focuses on policy-driven areas such as fiscal policy, energy policy, tourism, sustainability, and the knowledge economy.

Dr. Naser holds a Ph.D. in Economics from USQ, specializing in knowledge economy policy analysis, and completed a Post-Doctoral Fellowship on National Innovation Systems at University Malaysia Sabah (UMS). His academic journey also includes an MA in Economics from the University of Brunei Darussalam and a Bachelor’s in Economics from Khulna University, Bangladesh, where he graduated with distinction.

His current research involves exploring the investment climate in Bangladesh's manufacturing sector, supported by international organizations. Dr. Naser is recognized for his contributions to macroeconomics and innovation systems, winning several prestigious awards such as the Best Paper Runner-Up Award from KISTEP, South Korea.

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