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University of Amsterdam - Quantitative Methods 

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Quantitative Methods
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Coursera 
Overview

Duration

30 hours

Total fee

Free

Mode of learning

Online

Official Website

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Credential

Certificate

Quantitative Methods
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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
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Quantitative Methods
 at 
Coursera 
Course details

More about this course
  • 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...

Undecided? See why you should join!

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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