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Mike Stadler, PhD

This is primarily aimed at first- and second-year undergraduates interested in psychology, data analysis, and quantitative research methods along with high school students and professionals with similar interests.

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What's inside

Syllabus

Learn With PsycLearn Essentials
This module introduces you to your PsycLearn Essentials course. Find out what’s included in this course and how to navigate the modules and lessons. You’ll also learn valuable study tips for successful learning.
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Introduces the core research methods used in psychology, making it suitable for psychology undergraduates
Has a strong focus on data analysis and measurement techniques, making it a good choice for those interested in quantitative research
Taught by Mike Stadler, PhD, a respected researcher and educator in the field of psychology
Covers a comprehensive range of topics in psychological research methods, including experimental design, data analysis, and statistical inference
Provides resources and materials from the American Psychological Association (APA), offering additional support and guidance

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Reviews summary

Foundational quantitative research in psychology

According to students, this course provides a solid foundation in quantitative research methods for psychology, particularly beneficial for undergraduates and beginners. Learners found the explanations of complex concepts to be clear and approachable, covering topics like scientific method, variables, and research designs. A notable positive is the inclusion of valuable APA student resources. However, some advanced learners might find the content too introductory, suggesting a need for more in-depth practical application or advanced statistical tools.
Offers helpful APA tools and career development information.
"I really valued the links and advice on a career in psychology from APA."
"Access to Academic Writer discounts is super useful for my papers."
"The APA student resources module was a great bonus, very practical."
Complex concepts are explained in an understandable manner.
"The explanations of variables and measurement were surprisingly clear."
"I finally understood scientific method thanks to the simple breakdown."
"They made even validity concepts approachable for someone new to the field."
Provides a solid introduction to quantitative research methods.
"This course gave me a really solid basis for understanding research methods in psychology."
"I found it to be an excellent starting point for learning quantitative analysis."
"As a beginner, I appreciated how clearly the fundamentals were explained."
Could benefit from more hands-on data analysis practice.
"I wish there were more practical exercises or examples of data analysis."
"The course felt a bit theoretical; I'd love to apply these methods."
"More labs or demos would make the research designs really click."
May be too basic for those with prior research experience.
"As someone with a background, I found the content quite introductory."
"I was hoping for more advanced statistical techniques; this is pure basics."
"For professionals, it serves more as a refresh than new learning."

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 for Quantitative Research in Psychology with these activities:
Review Basic Statistics Concepts
Strengthen your foundation in basic statistics for a smoother learning experience.
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  • Review lecture notes or textbook chapters on basic statistical concepts.
  • Practice solving simple statistical problems.
Utilize Khan Academy for Introduction to Hypothesis Testing
Reinforce your understanding of hypothesis testing by following a structured tutorial.
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Show steps
  • Create a Khan Academy account.
  • Search for the "Hypothesis Testing" topic.
  • Complete the interactive exercises and videos.
Volunteer at a Research Lab
Gain hands-on experience in data collection and analysis by volunteering in a research lab.
Browse courses on Research Methods
Show steps
  • Research local research labs that align with your interests.
  • Contact the lab and inquire about volunteer opportunities.
  • Attend the volunteer training sessions provided by the lab.
  • Assist with data collection and other research-related tasks under the guidance of experienced researchers.
Five other activities
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Organize a Study Group for Research Design
Enhance your understanding of research design principles through collaborative learning.
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  • Find a group of peers with similar interests.
  • Plan the study group meetings and decide on topics to discuss.
  • Meet regularly to share knowledge and insights.
Solve Practice Problems on Research Methods
Enhance your data analysis skills by solving practice problems.
Browse courses on Research Methods
Show steps
  • Find practice problems from reputable sources such as textbooks or academic journals.
  • Solve the problems independently.
  • Check your answers and identify areas for improvement.
Design an Infographic on Variables and Measurement
Deepen your understanding of variables and measurement by creating a visual representation.
Browse courses on Quantitative Research
Show steps
  • Gather information on variables and measurement.
  • Choose an appropriate infographic template.
  • Design the infographic using clear and concise language.
  • Share your infographic with others for feedback.
Develop a Research Proposal on a Topic of Interest
Apply your knowledge of research methods by creating a comprehensive research proposal.
Browse courses on Research Proposal
Show steps
  • Choose a research topic that aligns with your interests.
  • Conduct a literature review to gather background information.
  • Develop a research question and hypothesis.
  • Design the research methodology and data analysis plan.
  • Write the research proposal.
Participate in a Data Analysis Competition
Challenge yourself and apply your skills in a competitive data analysis environment.
Browse courses on Data Analysis
Show steps
  • Find a data analysis competition relevant to your interests.
  • Form a team or work independently.
  • Analyze the data and prepare your submission.
  • Submit your entry and evaluate your performance.

Career center

Learners who complete Methods for Quantitative Research in Psychology will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns. They use their findings to help businesses make better decisions. This course can help you develop the skills you need to be a successful Data Analyst, including data collection, analysis, and interpretation.
Market Researcher
Market Researchers study consumer behavior to help businesses understand their customers. They use a variety of methods to collect data, including surveys, interviews, and focus groups. This course can help you develop the skills you need to be a successful Market Researcher, including data collection, analysis, and interpretation.
Biostatistician
Biostatisticians use statistical methods to design and analyze research studies in the medical and health sciences. They work with scientists and clinicians to develop new treatments and improve patient care. This course can help you develop the skills you need to be a successful Biostatistician, including data collection, analysis, and interpretation.
Epidemiologist
Epidemiologists study the distribution and causes of disease in populations. They use a variety of methods to collect data, including surveys, interviews, and medical records. This course can help you develop the skills you need to be a successful Epidemiologist, including data collection, analysis, and interpretation.
Survey Researcher
Survey Researchers design and conduct surveys to collect data on a variety of topics. They use their findings to help businesses, governments, and non-profit organizations make better decisions. This course can help you develop the skills you need to be a successful Survey Researcher, including data collection, analysis, and interpretation.
Pollster
Pollsters design and conduct polls to measure public opinion on a variety of issues. They use their findings to help politicians, businesses, and non-profit organizations make better decisions. This course can help you develop the skills you need to be a successful Pollster, including data collection, analysis, and interpretation.
Actuary
Actuaries use mathematical and statistical methods to assess risk and uncertainty. They work with insurance companies, pension funds, and other financial institutions to develop products and services that protect people from financial loss. This course can help you develop the skills you need to be a successful Actuary, including data collection, analysis, and interpretation.
Financial Analyst
Financial Analysts use financial data to evaluate investments and make recommendations to clients. They work with individuals, businesses, and governments to help them make informed financial decisions. This course can help you develop the skills you need to be a successful Financial Analyst, including data collection, analysis, and interpretation.
Operations Research Analyst
Operations Research Analysts use mathematical and statistical methods to improve the efficiency and effectiveness of organizations. They work with businesses, governments, and non-profit organizations to develop and implement solutions to a variety of problems. This course can help you develop the skills you need to be a successful Operations Research Analyst, including data collection, analysis, and interpretation.
Quantitative Psychologist
Quantitative Psychologists use statistical methods to study human behavior. They work with researchers, clinicians, and educators to design and conduct research studies, analyze data, and interpret results. This course can help you develop the skills you need to be a successful Quantitative Psychologist, including data collection, analysis, and interpretation.
Psychometrician
Psychometricians develop and use psychological tests to measure human abilities and traits. They work with psychologists, educators, and researchers to develop tests that are valid and reliable. This course can help you develop the skills you need to be a successful Psychometrician, including data collection, analysis, and interpretation.
Statistician
Statisticians use mathematical and statistical methods to collect, analyze, and interpret data. They work with a variety of organizations, including businesses, governments, and non-profit organizations, to help them make informed decisions. This course can help you develop the skills you need to be a successful Statistician, including data collection, analysis, and interpretation.
Data Scientist
Data Scientists use a variety of statistical and programming techniques to extract insights from data. They work with businesses, governments, and non-profit organizations to help them make better decisions. This course may be useful if you are interested in becoming a Data Scientist.
Software Engineer
Software Engineers design, develop, and maintain software systems. They work with a variety of organizations, including businesses, governments, and non-profit organizations, to develop software solutions to a variety of problems. This course may be useful if you are interested in becoming a Software Engineer.
Web Developer
Web Developers design and develop websites. They work with a variety of organizations, including businesses, governments, and non-profit organizations, to create websites that are user-friendly and effective. This course may be useful if you are interested in becoming a Web Developer.

Reading list

We've selected seven 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 for Quantitative Research in Psychology.
Provides a comprehensive overview of Bayesian data analysis. It would be a valuable resource for students who want to learn more about this powerful statistical method.
Comprehensive textbook that covers a wide range of statistical methods used in psychological research. It would be a valuable resource for students who want to learn more about the theory and application of statistical methods.
Provides a comprehensive overview of statistical reasoning in the behavioral sciences. It would be a valuable resource for students who want to learn more about the theory and application of statistics.
Provides a practical guide to doing statistical research. It would be a valuable resource for students who want to learn how to design, conduct, and analyze statistical research.
Provides a comprehensive overview of statistical methods for social sciences. It would be a valuable resource for students who want to learn more about the theory and application of these methods.
Can supplement the course by providing in-depth explanations of the concepts and methods covered in the course syllabus, especially in the module on Variables and Measurement.
Provides an introduction to machine learning for psychologists. It would be a helpful resource for students who want to learn how to use machine learning methods to analyze psychological data.

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