1 / 7

Aim #4: How do we conduct social science research (part 2)?

This article explores the advantages and disadvantages of open-ended questions on surveys, as well as the problems related to secondary analysis and data accuracy. It discusses the challenges of writing close-ended questions and provides insights on the usefulness of different question types.

Download Presentation

Aim #4: How do we conduct social science research (part 2)?

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Aim #4: How do we conduct social science research (part 2)? • Do Now: • Restate the research question you developed that relates to issues brought up by Michelle Obama’s Let’s Move campaign. • In writing your close-ended questions (Multiple Choice, categorical, Likert-Scale, Ordinal and Numerical) which type did you find were easiest to write? The most challenging to write? Which do you think would provide the most useful information if you were actually doing a project on the research question you created.

  2. A.

  3. Question • What are the advantages and disadvantages of asking open-ended questions on a survey?

  4. B.

  5. Question • What are the advantages and disadvantages of doing secondary analysis?

  6. Problems with Secondary Analysis • The National Alliance to End Homelessness released data stating that 564,708 people were homeless in the United States in January of 2015. What are some reasons why that piece of data might not be totally accurate? • Gallup released data in early 2017 stating that LBGT adults now make up 3.8 percent of the U.S. population (or a little over 9 million people). What are some reasons why that piece of data might not be totally accurate?

More Related