

University of Amsterdam - Quantitative Methods
- Offered byCoursera
- Public/Government Institute
Quantitative Methods at Coursera Overview
Duration | 30 hours |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course |
Credential | Certificate |
Quantitative Methods at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 1 of 5 in the Methods and Statistics in Social Sciences Specialization
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Approx. 30 hours to complete
- English Subtitles: Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Vietnamese, German, Russian, English, Spanish
Quantitative Methods at Coursera Course details
- Discover the principles of solid scientific methods in the behavioral and social sciences. Join us and learn to separate sloppy science from solid research!
- This course will cover the fundamental principles of science, some history and philosophy of science, research designs, measurement, sampling and ethics. The course is comparable to a university level introductory course on quantitative research methods in the social sciences, but has a strong focus on research integrity. We will use examples from sociology, political sciences, educational sciences, communication sciences and psychology.
Quantitative Methods at Coursera Curriculum
Before we get started...
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Welcome to quantitative methods!
Hi there!
How to navigate this course
How to contribute
General info - What will I learn in this course?
Course format - How is this course structured?
Requirements - What resources do I need?
Grading - How do I pass this course?
Contact - How do I stay informed?
Team - Who created this course?
1.01 Non-scientific Methods
1.02 Scientific Method
1.03 Scientific Claims
1.04 Classical Period
1.05 Enlightenment
1.06 Modern Science
1.07 Epistemology
1.08 Ontology
1.09 Approaches
1.10 Goals
Origins - Interview - Gerben Moerman (Part 1 of 4)
Origins - Interview - Gerben Moerman (Part 2 of 4)
Origins - Interview - Gerben Moerman (Part 3 of 4)
Origins - Interview - Gerben Moerman (Part 4 of 4)
What makes knowledge scientific?
What are the essential qualities of a systematic method?
What's the difference between a hypothesis and a theory?
Who developed the scientific method and when?
What is your philosophy of science?
Do you prefer your science hard or soft?
Honor Code - Integrity in this course
Transcripts: Origins
About the interview
Origins
The Scientific Method
2.01 Empirical Cycle
2.02 (Dis)confirmation
2.03 Criteria
2.04 Causality
2.05 Internal Validity Threats: Participants
2.06 Internal Validity Threats: Instruments
2.07 Internal Validity Threats: Artificiality
2.08 Internal Validity Threats: Research setup
2.09 Variables of Interest
2.10 Variables of Disinterest
Scientific Method - Interview - Marjan Bakker (Part 1 of 3)
Scientific Method - Interview - Marjan Bakker (Part 2 of 3)
Scientific Method - Interview - Marjan Bakker (Part 3 of 3)
What would be your 'recipe' for the scientific method?
What will it take for you to accept a hypothesis?
What do you look for in a good research study?
How do you identify what caused an effect?
What makes a causal explanation less likely?
What different relations and roles can variables have?
Transcripts: Scientific Method
About the interview
Informed Consent Form
Scientific Method
Research Designs
3.01 True Experiments
3.02 Factorial Designs
3.03 Repeated Measures
3.04 Manipulation
3.05 Lab vs. Field
3.06 Randomization
3.07 Experimental Designs
3.08 Matching
3.09 Quasi-Experimental Designs
3.10 Correlational Designs
3.11 Other Designs
Research Designs - Interview - Maarten Bos (Part 1 of 4)
Research Designs - Interview - Maarten Bos (Part 2 of 4)
Research Designs - Interview - Maarten Bos (Part 3 of 4)
Research Designs - Interview - Maarten Bos (Part 4 of 4)
What are the essential features of a true experiment?
What are other ways of comparing?
How do manipulation and control work (in the lab vs the field)?
What experimental designs can you think of?
What if you cannot assign randomly?
What if you can't manipulate either?
Transcripts: Research Designs
About the interview
Research Designs
Measurement
4.01 Operationalization
4.02 Measurement Structure
4.03 Measurement Levels
4.04 Variable Types
4.05 Measurement Validity
4.06 Measurement Reliability
4.07 Survey, Questionnaire, Test
4.08 Scales and Response Options
4.09 Response and Rater Bias
4.10 Other Measurement Types
Measurement - Interview - Andries van der Ark (Part 1 of 4)
Measurement - Interview - Andries van der Ark (Part 2 of 4)
Measurement - Interview - Andries van der Ark (Part 3 of 4)
Measurement - Interview - Andries van der Ark (Part 4 of 4)
How do you measure something?
What is measurement exactly?
How do you know whether you have used the right instrument?
How are measures constructed and what are their features?
Transcripts: Measurement
About the interview
Measurement
Sampling
5.01 External Validity Threats
5.02 Sampling Concepts
5.03 Probability Sampling
5.04 Probability Sampling - Simple
5.05 Probability Sampling - Complex
5.06 Non-Probability Sampling
5.07 Sampling Error
5.08 Non-Sampling Error
5.09 Sample Size
Sampling - Interview - Armén Hakhverdian (Part 1 of 4)
Sampling - Interview - Armén Hakhverdian (Part 2 of 4)
Sampling - Interview - Armén Hakhverdian (Part 3 of 4)
Sampling - Interview - Armén Hakhverdian (Part 4 of 4)
How are samples used for generalization?
Why would you use probability sampling?
Why would you use non-probability sampling?
To what extent does a sample reflect the population?
How large should your sample be?
Transcripts: Sampling
About the interview
Sampling
Practice, Ethics & Integrity
6.01 Documentation
6.02 Data Management
6.03 Unethical Studies
6.04 Ethics Towards Participants
6.05 Research Integrity
6.06 Questionable Research Practices
6.07 Peer Review Process
6.08 Dissemination Problems
6.extra Milgram's Obedience Study (see OPTIONAL assignment)
Interview - Practice, Ethics & Integrity - Jelte Wicherts (Part 1 of 4)
Interview - Practice, Ethics & Integrity - Jelte Wicherts (Part 2 of 4)
Interview - Practice, Ethics & Integrity - Jelte Wicherts (Part 3 of 4)
Interview - Practice, Ethics & Integrity - Jelte Wicherts (Part 4 of 4)
How would you manage and store your data?
How do we make sure participants are treated ethically?
How do we make sure researchers behave ethically and with integrity?
What about ethics in the publication process?
Transcripts: Practice, Ethics & Integrity
About the interview
Practice, Ethics & Integrity
Catch Up
Screencast Practice Exam 2 - Questions 1-10
Screencast Practice Exam 2 - Questions 11-20
Screencast Practice Exam 2 - Questions 21-30
Transcripts: All modules
Practice Exam 1 - immediate feedback
Practice Exam 2 - feedback in screencasts
Exam Time!
Bonus material - presentations on research integrity
Final Exam
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