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.
Этот курс входит в специализацию ''Специализация Методы измерения и статистика в общественных науках'
Quantitative Methods
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Программа курса: что вы изучите
Неделя
12 ч. на завершение
Before we get started...
In this first module we'll consider the basic principles of the scientific method, its history and its philosophies. But before we start talking methods, I'll give you a broad sense of what the course is about and how it's organized. Are you new to Coursera or still deciding whether this is the course for you? Then make sure to check out the 'Introduction' and 'What to expect' section below, so you'll have the essential information you need to decide and to do well in this course! If you have any questions about the course format, deadlines or grading, you'll probably find the answers here. Are you a Coursera veteran and anxious to get started? Then you might want to skip ahead to the first course topic: the Origins of the Scientific Method. You can always check the general information later. Veterans and newbies alike: Don't forget to introduce yourself in the 'meet and greet' forum!
2 видео ((всего 6 мин.)), 9 материалов для самостоятельного изучения
9 материала для самостоятельного изучения
Hi there!10мин
How to navigate this course10мин
How to contribute10мин
General info - What will I learn in this course?10мин
Course format - How is this course structured?10мин
Requirements - What resources do I need?10мин
Grading - How do I pass this course?10мин
Contact - How do I stay informed?10мин
Team - Who created this course?10мин
5 ч. на завершение
Origins of the scientific method
Science is all about gaining knowledge, coming up with the best possible explanations of the world around us. So how do we decide which explanation is the best one? How do we make sure our explanations are accurate?
How do we determine we actually know something? In science we try to resolve these questions by using a set of principles and procedures called the scientific method. You need to know its historical and philosophical 'origin story' to really understand the scientific method and to fully appreciate how hard it is to apply the scientific method in the social and behavioral sciences!
14 видео ((всего 85 мин.)), 9 материалов для самостоятельного изучения, 2 тестов
14 видео
1.02 Scientific Method8мин
1.03 Scientific Claims5мин
1.04 Classical Period8мин
1.05 Enlightenment6мин
1.06 Modern Science7мин
1.07 Epistemology4мин
1.08 Ontology5мин
1.09 Approaches7мин
1.10 Goals5мин
Origins - Interview - Gerben Moerman (Part 1 of 4)3мин
Origins - Interview - Gerben Moerman (Part 2 of 4)2мин
Origins - Interview - Gerben Moerman (Part 3 of 4)8мин
Origins - Interview - Gerben Moerman (Part 4 of 4)7мин
9 материала для самостоятельного изучения
What makes knowledge scientific?10мин
What are the essential qualities of a systematic method?10мин
What's the difference between a hypothesis and a theory?10мин
Who developed the scientific method and when?10мин
What is your philosophy of science?10мин
Do you prefer your science hard or soft?10мин
Honor Code - Integrity in this course10мин
Transcripts: Origins10мин
About the interview10мин
1 практическое упражнение
Origins20мин
Неделя
25 ч. на завершение
The Scientific Method
In the first module we discussed how the scientific method developed, general philosophical approaches and the types of knowledge science aims to find. In this second module we'll make these abstract principles and concepts a little more concrete by discussing the empirical cycle and causality in more detail. We’ll see how, and in what order these concepts are implemented when we conduct a research study. We'll also consider the main criteria for evaluating the methodological quality of a research study: Validity and reliability. The focus will be on internal validity and how internal validity can be threatened.
13 видео ((всего 68 мин.)), 8 материалов для самостоятельного изучения, 3 тестов
13 видео
2.02 (Dis)confirmation4мин
2.03 Criteria5мин
2.04 Causality3мин
2.05 Internal Validity Threats: Participants4мин
2.06 Internal Validity Threats: Instruments5мин
2.07 Internal Validity Threats: Artificiality5мин
2.08 Internal Validity Threats: Research setup5мин
2.09 Variables of Interest4мин
2.10 Variables of Disinterest5мин
Scientific Method - Interview - Marjan Bakker (Part 1 of 3)5мин
Scientific Method - Interview - Marjan Bakker (Part 2 of 3)5мин
Scientific Method - Interview - Marjan Bakker (Part 3 of 3)6мин
8 материала для самостоятельного изучения
What would be your 'recipe' for the scientific method?10мин
What will it take for you to accept a hypothesis?10мин
What do you look for in a good research study?10мин
How do you identify what caused an effect?10мин
What makes a causal explanation less likely?10мин
What different relations and roles can variables have?10мин
Transcripts: Scientific Method10мин
About the interview10мин
2 практического упражнения
Informed Consent Form2мин
Scientific Method20мин
Неделя
35 ч. на завершение
Research Designs
In the previous module we discussed the empirical cycle, causality and the criteria for methodological quality, focusing on threats to internal validity. In this module we'll consider the most frequently used research designs and we'll see how they address threats to internal validity. We'll look at experimental, quasi-experimental and correlational designs, as well as some other designs you should be familiar with. To understand and appreciate these designs we will discuss some general concepts such as randomization and matching in a little more detail.
15 видео ((всего 74 мин.)), 8 материалов для самостоятельного изучения, 2 тестов
15 видео
3.02 Factorial Designs3мин
3.03 Repeated Measures3мин
3.04 Manipulation5мин
3.05 Lab vs. Field5мин
3.06 Randomization6мин
3.07 Experimental Designs4мин
3.08 Matching6мин
3.09 Quasi-Experimental Designs6мин
3.10 Correlational Designs4мин
3.11 Other Designs3мин
Research Designs - Interview - Maarten Bos (Part 1 of 4)5мин
Research Designs - Interview - Maarten Bos (Part 2 of 4)6мин
Research Designs - Interview - Maarten Bos (Part 3 of 4)4мин
Research Designs - Interview - Maarten Bos (Part 4 of 4)3мин
8 материала для самостоятельного изучения
What are the essential features of a true experiment?10мин
What are other ways of comparing?10мин
How do manipulation and control work (in the lab vs the field)?10мин
What experimental designs can you think of?10мин
What if you cannot assign randomly?10мин
What if you can't manipulate either?10мин
Transcripts: Research Designs10мин
About the interview10мин
1 практическое упражнение
Research Designs22мин
Неделя
45 ч. на завершение
Measurement
Choosing a design is only the first step in the deduction phase (remember the empirical cycle?). The second step is deciding on specific ways to measure the variables of interest and disinterest.
This step is extremely important, because even if we are able to perform a true double-blind experiment, if our measurement and manipulation method are of poor quality, then internal validity will still be compromised!
In this module we'll look at what measurement is exactly and what the criteria for evaluating measurement are. We will also look more in-depth at self-report measures, including survey, questionnaires and tests. These methods are among the most frequently used measurement instruments in the social and behavioral sciences.
14 видео ((всего 71 мин.)), 6 материалов для самостоятельного изучения, 2 тестов
14 видео
4.02 Measurement Structure4мин
4.03 Measurement Levels5мин
4.04 Variable Types4мин
4.05 Measurement Validity5мин
4.06 Measurement Reliability5мин
4.07 Survey, Questionnaire, Test4мин
4.08 Scales and Response Options5мин
4.09 Response and Rater Bias4мин
4.10 Other Measurement Types4мин
Measurement - Interview - Andries van der Ark (Part 1 of 4)5мин
Measurement - Interview - Andries van der Ark (Part 2 of 4)3мин
Measurement - Interview - Andries van der Ark (Part 3 of 4)8мин
Measurement - Interview - Andries van der Ark (Part 4 of 4)3мин
6 материала для самостоятельного изучения
How do you measure something?10мин
What is measurement exactly?10мин
How do you know whether you have used the right instrument?10мин
How are measures constructed and what are their features?10мин
Transcripts: Measurement10мин
About the interview10мин
1 практическое упражнение
Measurement20мин
17%
начал новую карьеру, пройдя эти курсы
22%
получил значимые преимущества в карьере благодаря этому курсу
17%
стал больше зарабатывать или получил повышение
Лучшие рецензии
This course was excellent in all aspects, including the interesting and extensive material, as well as Dr. Annemarie Zand Scholten's brilliant lectures that help students digest and enjoy the content.
It is well-structured and informative. The pop up questions are interactive and the animation is fun. I have learned a lot from the video instruction, recommended readings, and assignments. Thanks.
Преподаватели
Annemarie Zand Scholten
Assistant ProfessorEconomics and Business
О Амстердамский университет
A modern university with a rich history, the University of Amsterdam
(UvA) traces its roots back to 1632, when the Golden Age school Athenaeum
Illustre was established to train students in trade and philosophy. Today,
with more than 30,000 students, 5,000 staff and 285 study programmes
(Bachelor's and Master's), many of which are taught in English, and a
budget of more than 600 million euros, it is one of the largest
comprehensive universities in Europe. It is a member of the League of
European Research Universities and also maintains intensive contact with
other leading research universities around the world.
О специализации ''Методы измерения и статистика в общественных науках'
Identify interesting questions, analyze data sets, and correctly interpret results to make solid, evidence-based decisions.
This Specialization covers research methods, design and statistical analysis for social science research questions. In the final Capstone Project, you’ll apply the skills you learned by developing your own research question, gathering data, and analyzing and reporting on the results using statistical methods.
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