Survey Data Collection and Analytics Project (Capstone)

所在平台: Coursera

课程主页: https://www.coursera.org/learn/survey-data-capstone

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课程简介

课程名称:调查数据收集与分析项目(结业项目) 课程概述:结业项目为合格学习者提供了一个应用知识的机会,通过分析和比较多个相关数据源,围绕同一主题进行研究。学生需要制定研究问题,获取和分析相关数据,并对每个数据源的质量进行批判性审查。完成此项目后,学生将展示手动数据分析能力,利用总体调查误差方法评估不同数据源的质量,涉及以下一些内容:比较加权的非概率样本与概率样本收集的数据,使用抽样技术纠正覆盖错误,以及跟踪和评估在线问卷的使用便捷性。 课程大纲: 第一部分:问卷设计 描述:为结业项目设计问卷。可以选择两个主题之一:针对Coursera MOOC《社会调查中的问卷设计》的课程评估调查,或国家健康访谈调查,重点关注健身、锻炼和营养。调查应不超过10分钟(不超过30个问题),并为自填式在线调查。 第二部分:问卷实施 描述:本部分涉及(1)实施在社会调查问卷设计部分开发的问卷,作为针对移动设备和桌面的在线问卷;(2)将问卷部署给100名受访者;(3)解读一些数据。 第三部分:抽样与加权 描述:进行一个两阶段抽样项目。从根据2015年美国国家健康访谈调查的数据中选取一个分层的两阶段样本。需完成三个步骤:(1)按每个区块组人数的比例选择每个层次中的两个区块组,需计算每个层次中的区块组人数,以规划五次独立选取每个层次中的两个区块组;(2)然后对每个样本区块组内的10%人员进行不放回简单随机抽样(srswor);(3)计算每个样本案例的加权值并从样本中计算加权估计。 第四部分:数据分析 描述:在此部分,您将分析国家健康访谈调查样本数据文件NHISsamdat.csv。在处理数据集中的缺失值时需特别谨慎。

课程大纲

Part: 1

Title:Questionnaire Design

Description:Develop a questionnaire for the capstone project. You can choose between two topics: A post-course evaluation survey for the Coursera MOOC “Questionnaire Design in Social Surveys” or a National Health Interview survey focusing on fitness, exercise, and nutrition. The survey should not take more than 10 minutes (not more than 30 questions) and should be a self-administered survey (online).

Part: 2

Title:Questionnaire Implementation

Description:This part of the capstone project involves (1) implementing the questionnaire you developed in the Questionnaire Design for Social Surveys part of the capstone project as an online questionnaire designed for both mobile and desktop (PC) administration, (2) deploying the questionnaire to 100 respondents, and (3) interpreting some of the data.

Part: 3

Title:Sampling and Weighting

Description:Conduct a two-stage sampling project. You will select a two-stage stratified sample from a population that is based on data from the 2015 National Health Interview Survey done in the United States. You will complete three steps: (1) Select a sample of two block groups in each stratum with probabilities proportional to the number of persons in each block group. This requires counting the number of persons in each block group by stratum to plan five separate selections of two block groups in each stratum. (2) Then select a simple random sample without replacement (srswor) of 10% of the persons within each sample block group. (3) Calculate weights for each sample case and compute weighted estimates from the sample.

Part: 4

Title:Data Analysis

Description:Here you will analyze the National Health Interview Survey sample data file, NHISsamdat.csv. You should be careful to properly deal with missing values in the data set.

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课程详情

The Capstone Project offers qualified learners to the opportunity to apply their knowledge by analyzing and comparing multiple data sources on the same topic. Students will develop a research question, access and analyze relevant data, and critically examine the quality of each data source. At the completion of this capstone, students will have demonstrated hands-on data analysis capability, evaluated the quality of different data sources using the Total Survey Error approach, involving at least some of the following: comparing weighted non-probability samples to data collected from probability samples, using sampling techniques to correct for coverage errors, and tracking and assess the ease of using an online questionnaire that you implement.

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