社会科学的方法和统计 专项课程

于 4月 10 开始

社会科学的方法和统计 专项课程

Critically Analyze Research and Results Using R

Learn to recognize sloppy science, perform solid research and do appropriate data analysis.

本专项课程介绍

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.

制作方:

courses
5 courses

按照建议的顺序或选择您自己的顺序。

projects
项目

旨在帮助您实践和应用所学到的技能。

certificates
证书

在您的简历和领英中展示您的新技能。

课程
Beginner Specialization.
No prior experience required.
  1. 第 1 门课程

    计量方法

    即将开课的班次:4月 10 — 6月 12。
    课程学习时间
    8 weeks, 4-5 hours/week
    字幕
    English, Chinese (Simplified)

    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.
  2. 第 2 门课程

    定性研究方法

    即将开课的班次:4月 10 — 6月 12。
    课程学习时间
    8周课程,每周4-6小时
    字幕
    English

    课程概述

    本课程将介绍社会科学中质性研究的基础理念。你将会学习用质性研究方法进行数据收集、描述、分析和解释。质性研究通常是一个不断迭代演进的过程。我们会重点关注研究过程所需的要素:数据收集与分析。学习本课程不只是需要观看视频,我们会留作业督促你通过观察和访谈进行数据收集,并对所收集的数据进行分析和解释。课程中我们会讨论到质性研究中最重要的概念,诸如质性研究的准则、高质量的实践、道德准则,并记录一些分析方法和混合方法的使用。我们希望同学们能够去除偏见,并对质性研究保持热情。
  3. 第 3 门课程

    统计基础

    即将开课的班次:3月 27 — 5月 29。
    课程学习时间
    8 weeks of study, week 1: 3-6 hours; week 2-8: 1-3 hours/week.
    字幕
    English

    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.
  4. 第 4 门课程

    推论统计

    即将开课的班次:3月 27 — 5月 22。
    课程学习时间
    7 weeks of study, 1-3 hours/week
    字幕
    English

    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).
  5. 第 5 门课程

    社会科学期末研究项目

    即将开课的班次:4月 10 — 6月 12。
    课程学习时间
    6 weeks of project work; week 1-3: 3-5 hours / week; week 4-6: 4 - 8 hours / week
    字幕
    English

    毕业项目介绍

    The Final Research Project consists of a research study that you will perform in collaboration with fellow learners. Together you will formulate a research hypothesis and design, come up with operationalizations, create manipulation and measurement instruments, collect data, perform statistical analyses and document the results. In this course you will go through the entire research process and will be able to help determine what research question we will investigate and how we design and perform the research. This is an invaluable experience if you want to be able to critically evaluate scientific research in the social and behavioral sciences or design and perform your own studies in the future.

制作方

  • 阿姆斯特丹大学

    The University of Amsterdam traces it roots back to 1632, and is one of the largest comprehensive universities in Europe.

    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.

  • Emiel van Loon

    Emiel van Loon

    Assistant Professor
  • Gerben Moerman

    Gerben Moerman

    Dr.
  • Annemarie Zand Scholten

    Annemarie Zand Scholten

    Assistant Professor
  • Matthijs Rooduijn

    Matthijs Rooduijn

    Dr.

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