Fwd: 社會科學的方法和統計 | Courserad
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專項課程介紹
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社會科學的方法和統計 專項課程
價格 $49 USD
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開始於 1月 18
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Critically Evaluate Social Science Research and Analyze Results Using R
In 5 courses, learn to recognize sloppy science, perform solid research and do appropriate data analysis.
專項課程介紹
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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4 門課
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課程
初級專項課程。 無需相關經驗。
第 1 門課程
Quantitative Methods
當前班次：1月 18 — 3月 21
課程學習時間
8 weeks, 4-5 hours/week
課程概述
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.
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第 2 門課程
定性研究方法
下一班次：2月 15 — 4月 18
課程學習時間
8 weeks of study, 4-6 hours/week
課程概述
In this course you will be introduced to the basic ideas behind the qualitative research in social science. You will learn about data collection, description, analysis and interpretation in qualitative research. Qualitative research often involves an iterative process. We will focus on the ingredients required for this process: data collection and analysis.
You won't learn how to use qualitative methods by just watching video's, so we put much stress on collecting data through observation and interviewing and on analysing and interpreting the collected data in other assignments.
Obviously, the most important concepts in qualitative research will be discussed, just as we will discuss quality criteria, good practices, ethics, writing some methods of analysis, and mixing methods.
We hope to take away some prejudice, and enthuse many students for qualitative research.
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第 3 門課程
Basic Statistics
下一班次：2月 1 — 4月 4
課程學習時間
8 weeks of study, 1-3 hours/week
課程概述
Understanding statistics is essential to understand research in the social and behavioral sciences. In this course you will learn the basics of statistics; not just how to calculate them, but also how to evaluate them. This course will also prepare you for the next course in the specialization - the course Inferential Statistics.
In the first part of the course we will discuss methods of descriptive statistics. You will learn what cases and variables are and how you can compute measures of central tendency (mean, median and mode) and dispersion (standard deviation and variance). Next, we discuss how to assess relationships between variables, and we introduce the concepts correlation and regression.
The second part of the course is concerned with the basics of probability: calculating probabilities, probability distributions and sampling distributions. You need to know about these things in order to understand how inferential statistics work.
The third part of the course consists of an introduction to methods of inferential statistics - methods that help us decide whether the patterns we see in our data are strong enough to draw conclusions about the underlying population we are interested in. We will discuss confidence intervals and significance tests.
You will not only learn about all these statistical concepts, you will also be trained to calculate and generate these statistics yourself using freely available statistical software.
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第 4 門課程
推論統計
開始於 February 29, 2016
課程概述
Inferential statistics are concerned with making inferences based on relations found in the sample, to relations in the population. Inferential statistics help us decide, for example, whether the differences between groups that we see in our data are strong enough to provide support for our hypothesis that group differences exist in general, in the entire population.
We will start by considering the basic principles of significance testing: probability distributions, p-value, significance level, power and type I and type II errors. Then we will consider a large number of statistical tests and techniques that help us make inferences for different types of data and different types of research designs. For each individual statistical test we will consider how it works, for what data and design it is appropriate and how results should be interpreted. You will also learn how to perform these tests using freely available software.
For those who are already familiar with statistical testing: We will look at z-tests for 1 and 2 proportions, McNemar's test for dependent proportions, t-tests for 1 mean (paired differences) and 2 means, the Chi-square test for independence, Fisher’s exact test, simple regression (linear, exponential en logistic) and multiple regression, one way and multi-way analysis of variance, and non-parametric tests (Wilcoxon, Kruskal-Wallis, sign test, signed-rank test).
畢業項目
Social Science Final Research Project
開始於 June 6, 2016
畢業項目介紹
The capstone consists of a research project that you will perform in collaboration with fellow students. You will formulate a research hypothesis and design and collect data or work with a secondary data set provided by one of our external partners (TBA). You will document and analyze the data and write a research report. Depending on the topic you choose, the project may involve developing your own questionnaire and collecting your own data or contributing to a research project running at the University of Amsterdam or one of our external partners.
價格
注册總價格
$245 USD
包括
1Quantitative Methods
$49 USD
2定性研究方法
$49 USD
3Basic Statistics
$49 USD
4推論統計
$49 USD
5Social Science Final Research Project
$49 USD
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