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Annemarie Zand Scholten

The Final Research Project consists of a research study that you will perform in collaboration with fellow learners. Together you will formulate a research hypothesis and design, come up with operationalizations, create manipulation and measurement instruments, collect data, perform statistical analyses and document the results.

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The Final Research Project consists of a research study that you will perform in collaboration with fellow learners. Together you will formulate a research hypothesis and design, come up with operationalizations, create manipulation and measurement instruments, collect data, perform statistical analyses and document the results.

In this course you will go through the entire research process and will be able to help determine what research question we will investigate and how we design and perform the research. This is an invaluable experience if you want to be able to critically evaluate scientific research in the social and behavioral sciences or design and perform your own studies in the future.

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Syllabus

About the Final Research Project
This section provides all the general course information. You can find info on how this very special final research project is organized, what the important deadlines are, and how the grading works.
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Preparing for Milestone 1 - Research topic
In this section you will learn about the research topic in preparation of reaching your first milestone - formulating a general research hypothesis and design. Make sure you read the material well, you will be working on this research topic for the next six weeks!
Milestone 1 - General hypothesis and design
In this section you will work on Milestone 1 - formulating a general hypothesis and design.
Milestone 2 - Design, operationalizations and expectations
In this module - based on the collective general hypothesis and design - you will create a more detailed design.
Milestone 3 - Measurement and manipulation material
In this module - based on the collective detailed design - you will create instruments to measure and manipulate the variables in our study.
Milestone 4 - Data collection, methods documentation and analysis plan
In this module you will document the methods and material used to perform the study and you will create a statistical analysis plan.
Milestone 5 - Statistical analysis
In this module you will perform and document the final statistical analyses
Milestone 6 - Report
In this module you will work on the final milestone, reporting the results of your research study.
Putting it all together (catch-up week)
In this module we'll reflect on the outcome of our study and look back on the entire research process. If you're behind schedule submitting your last milestone assignments, there's still time to catch-up!
Reflection (catch-up week)
In this final module we'll reflect on this final research project course and the entire specialization. Last chance to catch-up and give us feedback!

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides hands-on experience with research design and analysis techniques
Involves collaboration with fellow learners, fostering teamwork and communication skills
Develops a strong foundation in research principles and methodologies
Guided by instructors Annemarie Zand Scholten, who are experts in research methodology
Requires learners to come in with some background knowledge in social and behavioral sciences
Involves extensive teamwork and collaboration, which may not be suitable for all learners

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Reviews summary

Helpful social science analysis

learners say this course is helpful and great especially for apprentice researchers looking to practice methods and statistical analysis. The course includes hands-on exercises and covers topics on how to design experiments and analyze data.
The course is rigorous and pushes students to think critically.
"Through the study of social science methods and statistics, I learned how to design experiments and how to analyze data, and I gained a lot."
The course is clear and helpful to understand for students.
"Through the course study, I gain a lot!"
The course offers helpful hands-on exercises.
"Hand on exercise and useful for apprentice researcher to understand in social science research."
There have been issues with grading for this course.
"Now it's already week 6 but I haven't been checked my work of week 4."
Some students felt that the course lacked guidance.
"this course may benefit from having more guidance in some parts"

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Methods and Statistics in Social Science - Final Research Project with these activities:
Review Statistics
This activity will help you to refresh your statistics skills and prepare for the statistical analysis of your research data.
Browse courses on Statistics
Show steps
  • Review your notes from previous statistics courses.
  • Take a statistics refresher course.
  • Practice solving statistics problems.
Review Statistical Analysis Concepts
Reviewing statistical analysis concepts will help you strengthen your understanding of the fundamentals, making it easier to grasp the more advanced concepts covered in the course.
Browse courses on Statistical Analysis
Show steps
  • Revisit basic probability distributions, such as normal, binomial, and Poisson distributions.
  • Review hypothesis testing, including null hypothesis significance testing and p-values.
  • Practice interpreting and summarizing statistical results.
Attend a Research Methods Workshop
This activity will allow you to learn from experts in the field of research methods and gain valuable insights.
Browse courses on Research Methods
Show steps
  • Find a research methods workshop to attend.
  • Attend the workshop.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Conduct a Literature Review
This activity will help you to develop your research skills and find relevant sources for your research project.
Browse courses on Literature Review
Show steps
  • Identify a topic for your literature review.
  • Search for relevant sources.
  • Read and evaluate the sources.
  • Write a literature review.
Create a Research Hypothesis and Design
This activity will provide you with hands-on experience in formulating a research hypothesis and designing a research study. It will help you to understand the importance of these steps in the research process.
Show steps
  • Review the course materials on research hypotheses and design.
  • Identify a topic that you are interested in researching.
  • Develop a research hypothesis.
  • Design a research study to test your hypothesis.
  • Write up your research hypothesis and design.
Participate in a Research Discussion Group
This activity will allow you to interact with other students in the course and discuss research methods and findings. It will help you to gain different perspectives and learn from others.
Browse courses on Discussion
Show steps
  • Find a research discussion group to join.
  • Participate in the group discussions.
Create a Data Visualization
This activity will help you to present your research findings in a clear and concise way. It will help you to develop your communication skills and make your research more accessible to others.
Browse courses on Data Visualization
Show steps
  • Review the course materials on data visualization.
  • Choose a dataset to visualize.
  • Create a data visualization.
Develop a Research Poster
This activity will help you to share your research findings with a wider audience and develop your presentation skills.
Browse courses on Presentation
Show steps
  • Review the course materials on research posters.
  • Develop a research poster.
  • Present your research poster.
Write a Research Proposal
This activity will give you the opportunity to put together all that you have learned throughout the course and develop a complete research proposal. It will help you to refine your research ideas and prepare for future research projects.
Browse courses on Research Design
Show steps
  • Review the course materials on research proposals.
  • Develop a research topic.
  • Write a research proposal.

Career center

Learners who complete Methods and Statistics in Social Science - Final Research Project will develop knowledge and skills that may be useful to these careers:
Statistician
Statisticians collect, analyze, interpret, and present numerical data. Whether it’s for research, development, quality control, or risk assessment, they provide statistical tools that drive smarter decisions and improvements in areas as diverse as healthcare, education, marketing, and public policy. This course on Methods and Statistics in Social Science - Final Research Project would be particularly helpful for those wishing to enter or advance their career as a statistician, as it provides a solid foundation in research design, statistical analysis, and data interpretation.
Data Scientist
Data Scientists use their knowledge of statistics and programming to extract insights from data. They work with large datasets to uncover patterns, trends, and anomalies, which can then be used to develop new products, improve existing ones, or make better decisions. The material covered in Methods and Statistics in Social Science - Final Research Project would be highly relevant, as it provides a strong foundation in data analysis techniques and statistical modeling, skills which are essential for data scientists.
Market Researcher
Market Researchers conduct surveys, focus groups, and other forms of research to understand consumer behavior and preferences. They use this information to help businesses develop new products and services, as well as to target their marketing campaigns more effectively. The Methods and Statistics in Social Science - Final Research Project course would be a great asset for aspiring market researchers, as it provides a solid foundation in research design, data collection, and statistical analysis, all of which are essential skills for success in this field.
Survey Researcher
Survey Researchers use questionnaires to collect data about people's attitudes, opinions, and behavior. They work in a variety of settings, including academia, government, and market research firms. This course on Methods and Statistics in Social Science - Final Research Project would be highly valuable for those interested in a career as a survey researcher, as it provides a comprehensive overview of survey design, data collection, and statistical analysis, all of which are essential skills for success in this field.
Public Policy Analyst
Public Policy Analysts research and analyze public policy issues, and make recommendations to policymakers. They work in a variety of settings, including government, non-profit organizations, and think tanks. The Methods and Statistics in Social Science - Final Research Project course is highly relevant to this career, as it provides a solid foundation in research design, data analysis, and policy evaluation, all of which are critical skills for public policy analysts.
Social Science Researcher
Social Science Researchers study human behavior and society, using methods such as surveys, interviews, and experiments. They work in a variety of settings, including academia, government, and non-profit organizations. This course on Methods and Statistics in Social Science - Final Research Project would be highly beneficial for those interested in a career as a social science researcher, as it provides a comprehensive overview of research design, data collection, and statistical analysis, all of which are essential skills for success in this field.
UX Researcher
UX Researchers study how users interact with products and services. They use this information to improve the user experience, making products and services more usable, efficient, and enjoyable. The Methods and Statistics in Social Science - Final Research Project course would be highly beneficial for UX Researchers, as it provides a strong foundation in research design, data collection, and statistical analysis, all of which are essential skills for success in this field.
Data Analyst
Data Analysts use data to solve business problems. They work in a variety of industries, including finance, healthcare, and retail. This course on Methods and Statistics in Social Science - Final Research Project would provide a solid foundation for those interested in a career as a data analyst, as it provides a strong foundation in data analysis techniques and statistical modeling, both of which are essential skills for success in this field.
Economist
Economists study how people make decisions in the face of scarcity. They use this knowledge to develop policies that can improve economic outcomes. The Methods and Statistics in Social Science - Final Research Project course could be helpful for those interested in a career as an economist, as it provides a solid foundation in research design, data analysis, and statistical modeling, all of which are essential skills for success in this field.
Epidemiologist
Epidemiologists study the distribution and determinants of health-related states or events in specified populations. They use this information to develop and evaluate public health programs. The Methods and Statistics in Social Science - Final Research Project may be useful for those interested in a career as an epidemiologist, as it provides a solid foundation in research design, data collection, and statistical analysis, all of which are essential skills for success in this field.
Biostatistician
Biostatisticians apply statistical methods to medical data. They work with doctors, nurses, and other healthcare professionals to design studies, collect data, and analyze results. This course on Methods and Statistics in Social Science - Final Research Project may be useful for those interested in a career as a biostatistician, as it provides a solid foundation in research design, data analysis, and statistical modeling, all of which are essential skills for success in this field.
Risk Analyst
Risk Analysts identify, assess, and manage risks. They work in a variety of industries, including finance, insurance, and healthcare. The Methods and Statistics in Social Science - Final Research Project may be useful for those interested in a career as a risk analyst, as it provides a solid foundation in research design, data analysis, and statistical modeling, all of which are essential skills for success in this field.
Teacher
Teachers educate and inspire students in a variety of subjects. They work in a variety of settings, including schools, colleges, and universities. The Methods and Statistics in Social Science - Final Research Project may be useful for those interested in a career as a teacher, as it provides a solid foundation in research design, data collection, and statistical analysis, all of which are essential skills for success in this field.
Social Worker
Social Workers help people cope with life challenges. They provide counseling, support, and resources to individuals and families. The Methods and Statistics in Social Science - Final Research Project may be useful for those interested in a career as a social worker, as it provides a solid foundation in research design, data collection, and statistical analysis, all of which are essential skills for success in this field.
Consultant
Consultants provide advice and expertise to businesses and organizations. They work in a variety of industries, including management consulting, financial consulting, and marketing consulting. The Methods and Statistics in Social Science - Final Research Project may be useful for those interested in a career as a consultant, as it provides a solid foundation in research design, data analysis, and statistical modeling, all of which are essential skills for success in this field.

Reading list

We've selected 31 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Methods and Statistics in Social Science - Final Research Project.
This widely used textbook in research methods, now in its seventh edition, provides a comprehensive overview of the research process, including data collection, analysis, and interpretation.
Provides a detailed overview of statistical methods used in social science research. It would be a valuable resource for students in this course who are looking for a more in-depth understanding of statistical methods.
This comprehensive textbook offers a thorough overview of social science research methods, including both quantitative and qualitative approaches. It provides valuable insights into the design, implementation, and analysis of research studies.
Provides a comprehensive overview of the social research process. It covers a wide range of topics, from research design to data analysis. It valuable resource for students who are interested in learning more about social research.
Provides a comprehensive overview of statistical learning. It covers a wide range of topics, from linear regression to support vector machines. It valuable resource for students who want to learn more about statistical learning.
Provides a practical guide to conducting statistical research. It would be a valuable resource for students in this course who are looking for a more hands-on approach to statistical research.
This textbook focuses on the application of statistical methods in social research, providing detailed coverage of a wide range of statistical techniques. It offers valuable insights into the interpretation and communication of research findings.
Provides a practical guide to conducting research in the real world. It covers a wide range of topics, from research design to data analysis. It valuable resource for students who are interested in learning more about research methods.
Provides a comprehensive overview of machine learning in Python. It covers a wide range of topics, from data preprocessing to model evaluation. It valuable resource for students who want to learn more about machine learning.
Provides a clear and concise introduction to statistics for students in the behavioral sciences. It covers a wide range of topics, from descriptive statistics to inferential statistics. It valuable resource for students who want to learn more about statistics.
Provides a comprehensive overview of natural language processing with Python. It covers a wide range of topics, from text preprocessing to machine translation. It valuable resource for students who want to learn more about natural language processing.
Provides a clear and concise introduction to regression analysis. It covers a wide range of topics, from simple linear regression to multiple regression. It valuable resource for students who want to learn more about regression analysis.
Provides a comprehensive overview of deep learning with Python. It covers a wide range of topics, from neural networks to convolutional neural networks. It valuable resource for students who want to learn more about deep learning.
This textbook explores the application of statistical methods to understand social issues and promote social justice. It provides a solid foundation for understanding the role of statistics in social research and policy analysis.
This comprehensive textbook provides a clear and concise overview of the research process, including both qualitative and quantitative methods.
Provides a comprehensive overview of social research methods. It would be a valuable resource for students in this course who are looking for a more accessible introduction to social research methods.
This textbook offers a practical guide to using IBM SPSS Statistics for data analysis. It provides step-by-step instructions for conducting statistical tests and interpreting the results, making it a valuable resource for students and researchers.
This practical guide to social research methods provides step-by-step instructions for conducting research projects.
Provides a comprehensive overview of research methods used in the social sciences. It would be a valuable resource for students in this course who are looking for a more in-depth understanding of research methods.
Provides a concise overview of social research methods. It would be a valuable resource for students in this course who are looking for a more accessible introduction to social research methods.
Provides a comprehensive overview of research design methods. It would be a valuable resource for students in this course who are looking for a more in-depth understanding of research design.
Provides a humorous and engaging overview of common statistical errors. It would be a valuable resource for students in this course who are looking to learn more about how to avoid statistical pitfalls.
This textbook provides a comprehensive overview of research design methods, including quantitative, qualitative, and mixed methods approaches. It offers valuable insights into the selection and application of appropriate research methods for specific research questions.
Provides a practical guide to statistical thinking. It would be a valuable resource for students in this course who are looking to improve their understanding of how to use statistics to answer research questions.
This textbook provides a practical introduction to statistical analysis using the R programming language. It offers step-by-step instructions for data manipulation, statistical modeling, and data visualization, making it a valuable resource for students and researchers.

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