Survey Data Collection and Analytics Project (Capstone)

About this course: 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.

Created by:  University of Michigan, University of Maryland, College Park

• Taught by:  Frauke Kreuter, Ph.D., Professor, Joint Program in Survey Methodology

  Adjunct Research Professor, Institute for Social Research

• Taught by:  Frederick Conrad, Ph.D., Research Professor, Survey Methodology

  Institute for Social Research

• Taught by:  James M Lepkowski, Research Professor

  Survey Research Center, Institute for Social Research

• Taught by:  Richard Valliant, Ph.D., Research Professor

  Joint Program in Survey Methodology

Basic Info Course 7 of 7 in the Survey Data Collection and Analytics Specialization Language English How To Pass Pass all graded assignments to complete the course. Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

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University of Michigan The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future. University of Maryland, College Park 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.

Syllabus


WEEK 1


Questionnaire Design



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).

Graded: 1. Develop your questionnaire
Graded: 2. Conduct one cognitive interview using your questionnaire
Graded: 3. Expert Review
Graded: 4. Final Assignment

WEEK 2


Questionnaire Implementation



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.

Graded: Questionnaire Implementation

WEEK 3


Sampling and Weighting



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.

Graded: 1. Sample Selection
Graded: 2. Deliverables

WEEK 4


Data Analysis
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.

Graded: Data Analysis