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다음 전문 분야의 5개 강좌 중 4번째 강좌:

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

완료하는 데 약 41시간 필요

권장: 7 weeks of study, 1-3 hours/week...


자막: 영어

귀하가 습득할 기술

StatisticsStatistical InferenceRegression AnalysisAnalysis Of Variance (ANOVA)

다음 전문 분야의 5개 강좌 중 4번째 강좌:

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

완료하는 데 약 41시간 필요

권장: 7 weeks of study, 1-3 hours/week...


자막: 영어

강의 계획 - 이 강좌에서 배울 내용

완료하는 데 2시간 필요

Before we get started...

[formatted text here]

1 video (Total 3 min), 10 readings
1개의 동영상
10개의 읽기 자료
Hi there10m
How to navigate this course10m
How to contribute10m
General info - What will I learn in this course?10m
Course format - How is this course structured?10m
Requirements - What resources do I need?10m
Grading - How do I pass this course?10m
Team - Who created this course?10m
Honor Code - Integrity in this course10m
Useful literature and documents10m
완료하는 데 5시간 필요

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 videos (Total 55 min), 5 readings, 4 quizzes
9개의 동영상
1.02 P-values5m
1.03 Confidence intervals and two-sided tests4m
1.04 Power6m
1.05 Two independent proportions6m
1.06 Two independent means6m
1.07 Two dependent proportions5m
1.08 Two dependent means5m
1.09 Controlling for other variables7m
5개의 읽기 자료
Comparing two groups - Drawing inferences10m
Comparing two groups - Independent groups10m
Comparing two groups - Dependent groups10m
Comparing two groups - Controlling for other variables10m
Comparing two groups - Transcripts10m
1개 연습문제
Comparing two groups36m
완료하는 데 3시간 필요

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 videos (Total 47 min), 4 readings, 2 quizzes
6개의 동영상
2.02 The Chi-squared test6m
2.03 Interpreting the Chi-squared test7m
2.04 Chi-squared as goodness-of-fit7m
2.05 The Chi-squared test - sidenotes8m
2.06 Fisher's exact test6m
4개의 읽기 자료
Categorical association - Chi-squared test for association10m
Categorical association - Chi-squared test for goodness of fit10m
Categorical association - Sidenotes and an alternative to the Chi-squared test10m
Categorical association - Transcripts10m
1개 연습문제
Categorical association30m
완료하는 데 3시간 필요

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 videos (Total 50 min), 4 readings, 2 quizzes
9개의 동영상
3.02 The regression equation6m
3.03 The regression model5m
3.04 Predictive power5m
3.05 Pitfalls in regression6m
3.06 Testing the model5m
3.07 Checking assumptions5m
3.08 CI and PI for predicted values5m
3.09 Exponential regression5m
4개의 읽기 자료
Simple regression - Describing quantitative association10m
Simple regression - Drawing inferences10m
Simple regression - Exponential regression10m
Simple regression - Transcripts10m
1개 연습문제
Simple regression34m
완료하는 데 3시간 필요

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 videos (Total 50 min), 4 readings, 2 quizzes
8개의 동영상
4.02 R and R-squared5m
4.03 Overall test5m
4.04 Individual tests6m
4.05 Checking assumptions4m
4.06 Categorical predictors6m
4.07 Categorical response variable6m
4.08 Interpreting results7m
4개의 읽기 자료
Multiple regression - Model10m
Multiple regression - Tests10m
Multiple regression - Categorical predictors, categorical response variable and example10m
Multiple regression - Transcripts10m
1개 연습문제
Multiple regression42m
82개의 리뷰Chevron Right


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Inferential Statistics의 최상위 리뷰

대학: NDFeb 13th 2018

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.

대학: YZApr 15th 2016

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.



Annemarie Zand Scholten

Assistant Professor
Economics and Business

Emiel van Loon

Assistant Professor
Institute for Biodiversity and Ecosystem Dynamics

암스테르담 대학교 정보

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....

Methods and Statistics in Social Sciences 전문 분야 정보

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....
Methods and Statistics in Social Sciences

자주 묻는 질문

  • 강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.

  • 강좌를 등록하면 전문 분야의 모든 강좌에 접근할 수 있고 강좌를 완료하면 수료증을 취득할 수 있습니다. 전자 수료증이 성취도 페이지에 추가되며 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 내용만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.

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