社会科学的方法和统计

使用R语言对社科类研究成果进行批判性评价和分析。通过5门课程学习如何辨别不严谨的研究,如何进行扎实的研究,做出适当的数据分析。

阿姆斯特丹大学

专项课程

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本专项课程介绍

提出有趣的问题,分析数据集,正确解读结果,以做出可靠、有实证基础的决策。

此专项课程涵盖社会科研问题的研究方法、 设计和统计分析。在期末毕业项目中,您将应用所学技能,设计自己的研究课题,收集数据,进行分析,并使用统计方法汇报研究成果。

第 1 门课程

计量方法

即将开课的班次:5月 9 — 7月 11。每隔 3 周会有一个新班次开课。
课程学习时间 8 weeks, 4-5 hours/week

课程概述
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.

第 2 门课程

定性研究方法

即将开课的班次:5月 9 — 7月 11。每隔 3 周会有一个新班次开课。
课程学习时间 8 weeks of study, 4-6 hours/week

课程概述
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.

第 3 门课程

统计基础

即将开课的班次:5月 23 — 7月 25。每隔 3 周会有一个新班次开课。
课程学习时间 8 weeks of study, week 1: 3-6 hours; week 2-8: 1-3 hours/week.

课程概述
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.

第 4 门课程

推论统计

当前班次:4月 25 — 6月 20。每隔 3 周会有一个新班次开课。
课程学习时间 7 weeks of study, 1-3 hours/week

课程概述
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: the sampling and test statistic distribution, 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 and exponential) and multiple regression (linear and logistic), one way and factorial analysis of variance, and non-parametric tests (Wilcoxon, Kruskal-Wallis, sign test, signed-rank test, runs test).

毕业项目

社会科学期末研究项目

于 June 6, 2016 开始

毕业项目介绍
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.

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