About this Course
최근 조회 7,573

다음 전문 분야의 7개 강좌 중 1번째 강좌:

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

중급 단계

영어

자막: 영어

귀하가 습득할 기술

Data CollectionData QualityData AnalysisData Generating Process

다음 전문 분야의 7개 강좌 중 1번째 강좌:

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

중급 단계

영어

자막: 영어

강의 계획 - 이 강좌에서 배울 내용

1
완료하는 데 3시간 필요

Research Designs and Data Sources

The first course in the specialization provides an overview of the topics to come. This module walks you through the process of data collection and analysis. Starting with a research question and a review of existing data sources, we cover survey data collection techniques, highlight the importance of data curation, and discuss some basic features that can affect your data analysis when dealing with sample data. Issues of data access and resources for access are introduced in this module.

...
9 videos (Total 51 min), 5 readings, 1 quiz
9개의 동영상
Types of Data9m
Examples of Found Data2m
Visualizing the Data Generation Process5m
Data Curation5m
Data Analysis5m
Access Issues3m
Access Resources3m
Summary58
5개의 읽기 자료
Course Overview10m
Readings and Resources List10m
Handouts10m
AAPOR (2015)40m
Couper (2013)30m
1개 연습문제
Quiz for Week 120m
2
완료하는 데 2시간 필요

Measurements and Analysis Plan

In this module we will emphasize the importance of having a well-specified research question and analysis plan. We will provide an overview over the various data collection strategies, a variety of available modes for data collection and some thinking on how to choose the right mode.

...
6 videos (Total 36 min), 2 readings, 1 quiz
6개의 동영상
Planning on What You Want to Observe7m
Planning on How to Collect Data6m
New Modes4m
Web and Google6m
Choosing a Mode4m
2개의 읽기 자료
Handouts10m
Jäckle et al. (2015)30m
1개 연습문제
Quiz for Week 220m
3
완료하는 데 2시간 필요

Quality Framework

In this module you will be introduced to a general framework that allows you to not only understand each step required for a successful data collection and analysis, but also helps you to identify errors associated with different data sources. You will learn some metrics to quantify each potential error, and thus you will have tools at hand to describe the quality of a data source.

...
8 videos (Total 49 min), 3 readings, 1 quiz
8개의 동영상
Inference4m
Survey Life Cycle from a Design Perspective - Measurement4m
Survey Life Cycle from a Design Perspective - Representation5m
Survey Lifecycle from a Process Perspective1m
Survey Lifeycle from a Quality Perspective14m
Survey Lifecycle from a Quality Perspective (II) - Metrics4m
Survey Lifecycle from a Quality Perspective (III) - Coverage and Sampling8m
3개의 읽기 자료
Handouts10m
Groves (2011)20m
Groves & Lyberg (2010)30m
1개 연습문제
Quiz for Week 320m
4
완료하는 데 2시간 필요

Application of TSE Framework to Existing Surveys

In this module we introduce a few surveys across a variety of topics. For each we highlight data collection features. The surveys span a variety of topics. We challenge you to think about alternative data sources that can be used to gather the same information or insights.

...
8 videos (Total 36 min), 2 readings, 1 quiz
8개의 동영상
NSDUH3m
SCA3m
NAEP3m
BRFSS2m
CES3m
SHARE5m
ESS6m
2개의 읽기 자료
Handouts10m
Davidov (2008)30m
1개 연습문제
Quiz for Week 420m
4.2
77개의 리뷰Chevron Right

29%

이 강좌를 수료한 후 새로운 경력 시작하기

24%

이 강좌를 통해 확실한 경력상 이점 얻기

Framework for Data Collection and Analysis의 최상위 리뷰

대학: MMMar 7th 2018

Very clear and organised structure\n\nClear examples to support learning objectives\n\nAttractive use of voice\n\nOne point for improvement: Do not film while the lecturer is still refinding breath

대학: SMMay 19th 2019

Excelente curso, genera las herramientas necesarias para la recoleccion, transformacion, analisis e interpretacion de datos que requiero como principiante en este proceso

강사

Avatar

Frauke Kreuter, Ph.D.

Professor, Joint Program in Survey Methodology
Adjunct Research Professor, Institute for Social Research

Mariel Leonard

Lecturer
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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