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다음 전문 분야의 7개 강좌 중 6번째 강좌:

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

완료하는 데 약 8시간 필요

권장: 7 hours/week...

영어

자막: 영어

다음 전문 분야의 7개 강좌 중 6번째 강좌:

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

완료하는 데 약 8시간 필요

권장: 7 hours/week...

영어

자막: 영어

강의 계획 - 이 강좌에서 배울 내용

1
완료하는 데 2시간 필요

Basic Estimation

After completing Modules 1 and 2 of this course you will understand how to estimate descriptive statistics, overall and for subgroups, when you deal with survey data. We will review software for estimation (R, Stata, SAS) with examples for how to estimate things like means, proportions, and totals. You will also learn how to estimate parameters in linear, logistic, and other models and learn software options with emphasis on R. Module 3 and 4 discuss how you can add additional data to your analysis. This requires knowing about record linkage techniques, and what it takes to get permission to link data.

...
7 videos (Total 69 min), 6 readings, 1 quiz
7개의 동영상
Basic R examples15m
Basic R examples (continued)13m
Degrees of Freedom7m
Estimating Means7m
Multistage samples5m
Quantile estimation in R10m
6개의 읽기 자료
Slides10m
Slides10m
Slides10m
Slides10m
Slides (continued)10m
Slides10m
1개 연습문제
Course 6 Module 114m
2
완료하는 데 2시간 필요

Models

Module 2 covers how to estimate linear and logistic model parameters using survey data. After completing this module, you will understand how the methods used differ from the ones for non-survey data. We also cover the features of survey data sets that need to be accounted for when estimating standard errors of estimated model parameters.

...
8 videos (Total 50 min), 8 readings, 1 quiz
8개의 동영상
Estimation Method3m
Linear Models5m
Diagnostics in R8m
Linear Models in Stata5m
Logistic Models in R4m
Odds Ratios8m
Logistic Regression in Stata6m
8개의 읽기 자료
Slides10m
Slides10m
Slides10m
Slides10m
Slides10m
Slides10m
Slides10m
Slides10m
1개 연습문제
Course 6 Module 214m
3
완료하는 데 3시간 필요

Record Linkage

Module starts with the current debate on using more (linked) administrative records in the U.S. Federal Statistical System, and a general motivation for linking records. Several examples will be given on why it is useful to link data. Challenges of record linkage will be discussed. A brief overview over key linkage techniques is included as well.

...
4 videos (Total 38 min), 12 readings, 1 quiz
4개의 동영상
Gentle Introduction9m
Challenges8m
Key Techniques11m
12개의 읽기 자료
Improving Federal Statistics Using Multiple Data Sources10m
Longitudinal Employer-Household Dynamics (LEHD)10m
Impact of Research on Innovation, Competition and Science10m
Slides10m
Slides - Introduction10m
Technical Overview - Software10m
Slides: Challenges10m
Slides10m
Record Linkage (Herzog/Scheuren/Winkler 2010)10m
Febrl - A Freely Available Record Linkage System (Christen)10m
Machine Learning and Record Linkage (Winkler 2011)10m
Privacy Preserving Record Linkage (Schnell et al. 2009)10m
1개 연습문제
Quiz 3 - Record Linkage10m
4
완료하는 데 1시간 필요

Ethics

This module will discuss key issues in obtaining consent to record linkage. Failure to consent can lead to bias estimates. Current research examples will be given as well as practical suggestions on how to obtain linkage consent.

...
5 videos (Total 23 min), 3 readings, 1 quiz
5개의 동영상
Linkage Consent and Consent Bias8m
Correlates of Consent3m
Bias in Administrative Estimates2m
Optimizing Linkage Consent6m
3개의 읽기 자료
Slides10m
Assessing the Magnitude of Non-Consent Biases (Sakshaug & Kreuter 2012)10m
Placement, Wording and Interviewers (Sakshaug et al.)10m
1개 연습문제
Quiz - Linkage Consent10m

강사

Avatar

Richard Valliant, Ph.D.

Research Professor
Joint Program in Survey Methodology

메릴랜드 대학교 칼리지파크 캠퍼스 정보

The University of Maryland is the state's flagship university and one of the nation's preeminent public research universities. A global leader in research, entrepreneurship and innovation, the university is home to more than 37,000 students, 9,000 faculty and staff, and 250 academic programs. Its faculty includes three Nobel laureates, three Pulitzer Prize winners, 47 members of the national academies and scores of Fulbright scholars. The institution has a $1.8 billion operating budget, secures $500 million annually in external research funding and recently completed a $1 billion fundraising campaign. ...

Survey Data Collection and Analytics 전문 분야 정보

This specialization covers the fundamentals of surveys as used in market research, evaluation research, social science and political research, official government statistics, and many other topic domains. In six courses, you will learn the basics of questionnaire design, data collection methods, sampling design, dealing with missing values, making estimates, combining data from different sources, and the analysis of survey data. In the final Capstone Project, you’ll apply the skills learned throughout the specialization by analyzing and comparing multiple data sources. Faculty for this specialisation comes from the Michigan Program in Survey Methodology and the Joint Program in Survey Methodology, a collaboration between the University of Maryland, the University of Michigan, and the data collection firm Westat, founded by the National Science Foundation and the Interagency Consortium of Statistical Policy in the U.S. to educate the next generation of survey researchers, survey statisticians, and survey methodologists. In addition to this specialization we offer short courses, a summer school, certificates, master degrees as well as PhD programs....
Survey Data Collection and Analytics

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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