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StatisticsStatistical InferenceRegression AnalysisAnalysis Of Variance (ANOVA)

1

## Before we get started...

[formatted text here]...
1 個視頻 （總計 3 分鐘）, 10 個閱讀材料
1 個視頻
10 個閱讀材料
Hi there10分鐘
How to navigate this course10分鐘
How to contribute10分鐘
General info - What will I learn in this course?10分鐘
Course format - How is this course structured?10分鐘
Requirements - What resources do I need?10分鐘
Grading - How do I pass this course?10分鐘
Team - Who created this course?10分鐘
Honor Code - Integrity in this course10分鐘
Useful literature and documents10分鐘

## Comparing two groups

In this second module of week 1 we dive right in with a quick refresher on statistical hypothesis testing. Since we're assuming you just completed the course Basic Statistics, our treatment is a little more abstract and we go really fast! We provide the relevant Basic Statistics videos in case you need a gentler introduction. After the refresher we discuss methods to compare two groups on a categorical or quantitative dependent variable. We use different test for independent and dependent groups....
9 個視頻 （總計 55 分鐘）, 5 個閱讀材料, 4 個測驗
9 個視頻
1.02 P-values5分鐘
1.03 Confidence intervals and two-sided tests4分鐘
1.04 Power6分鐘
1.05 Two independent proportions6分鐘
1.06 Two independent means6分鐘
1.07 Two dependent proportions5分鐘
1.08 Two dependent means5分鐘
1.09 Controlling for other variables7分鐘
5 個閱讀材料
Comparing two groups - Drawing inferences10分鐘
Comparing two groups - Independent groups10分鐘
Comparing two groups - Dependent groups10分鐘
Comparing two groups - Controlling for other variables10分鐘
Comparing two groups - Transcripts10分鐘
1 個練習
Comparing two groups36分鐘
2

## Categorical association

In this module we tackle categorical association. We'll mainly discuss the Chi-squared test that allows us to decide whether two categorical variables are related in the population. If two categorical variables are unrelated you would expect that categories of these variables don't 'go together'. You would expect the number of cases in each category of one variable to be proportionally similar at each level of the other variable. The Chi-squared test helps us to compare the actual number of cases for each combination of categories (the joint frequencies) to the expected number of cases if the variables are unrelated....
6 個視頻 （總計 47 分鐘）, 4 個閱讀材料, 2 個測驗
6 個視頻
2.02 The Chi-squared test6分鐘
2.03 Interpreting the Chi-squared test7分鐘
2.04 Chi-squared as goodness-of-fit7分鐘
2.05 The Chi-squared test - sidenotes8分鐘
2.06 Fisher's exact test6分鐘
4 個閱讀材料
Categorical association - Chi-squared test for association10分鐘
Categorical association - Chi-squared test for goodness of fit10分鐘
Categorical association - Sidenotes and an alternative to the Chi-squared test10分鐘
Categorical association - Transcripts10分鐘
1 個練習
Categorical association30分鐘
3

## Simple regression

In this module we’ll see how to describe the association between two quantitative variables using simple (linear) regression analysis. Regression analysis allows us to model the relation between two quantitative variables and - based on our sample -decide whether a 'real' relation exists in the population. Regression analysis is more useful than just calculating a correlation coefficient, since it allows us assess how well our regression line fits the data, it helps us to identify outliers and to predict scores on the dependent variable for new cases....
9 個視頻 （總計 50 分鐘）, 4 個閱讀材料, 2 個測驗
9 個視頻
3.02 The regression equation6分鐘
3.03 The regression model5分鐘
3.04 Predictive power5分鐘
3.05 Pitfalls in regression6分鐘
3.06 Testing the model5分鐘
3.07 Checking assumptions5分鐘
3.08 CI and PI for predicted values5分鐘
3.09 Exponential regression5分鐘
4 個閱讀材料
Simple regression - Describing quantitative association10分鐘
Simple regression - Drawing inferences10分鐘
Simple regression - Exponential regression10分鐘
Simple regression - Transcripts10分鐘
1 個練習
Simple regression34分鐘
4

## Multiple regression

In this module we’ll see how we can use more than one predictor to describe or predict a quantitative outcome variable. In the social sciences relations between psychological and social variables are generally not very strong, since outcomes are generally influences by complex processes involving many variables. So it really helps to be able to describe an outcome variable with several predictors, not just to increase the fit of the model, but also to assess the individual contribution of each predictor, while controlling for the others. ...
8 個視頻 （總計 50 分鐘）, 4 個閱讀材料, 2 個測驗
8 個視頻
4.02 R and R-squared5分鐘
4.03 Overall test5分鐘
4.04 Individual tests6分鐘
4.05 Checking assumptions4分鐘
4.06 Categorical predictors6分鐘
4.07 Categorical response variable6分鐘
4.08 Interpreting results7分鐘
4 個閱讀材料
Multiple regression - Model10分鐘
Multiple regression - Tests10分鐘
Multiple regression - Categorical predictors, categorical response variable and example10分鐘
Multiple regression - Transcripts10分鐘
1 個練習
Multiple regression42分鐘
4.4
82 個審閱

## 11%

### 熱門審閱

Incredibly dense (which they warn you about) so the lecutres fly over so much important info it's hard to keep track of even with a strong focus. A very good overview though.

I understood inferential statistics better with this course. Both teachers made the concepts clear for me. The R homework helps me review inferential statistics methods.

## 講師

### Annemarie Zand Scholten

Assistant Professor

### Emiel van Loon

Assistant Professor
Institute for Biodiversity and Ecosystem Dynamics

## 關於 阿姆斯特丹大学

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....

## 關於 社会科学的方法和统计 專項課程

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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