1 / 7

Validity

Validity. Review. Definition. Does it (method/measure) measure what it is intended to measure? Internal Validity (was there a genuine effect?) External Validity (can we generalise the findings?). Poor Validity Milgram (?) Zimbardo Tajfel Loftus Gould Gardner & Gardner. Good Validity

zander
Download Presentation

Validity

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. Validity Review

  2. Definition • Does it (method/measure) measure what it is intended to measure? • Internal Validity (was there a genuine effect?) • External Validity (can we generalise the findings?)

  3. Poor Validity Milgram (?) Zimbardo Tajfel Loftus Gould Gardner & Gardner Good Validity Piliavin Rosenhan (?) Samual & Bryant Hodges & Tizard Raine Deregowski Studies

  4. Threats to Internal Validity • Type 1 and 2 Errors. • Reliability to measures and procedure. • Random errors. • Order effects/testing. • Drop-out. • Sample bias.

  5. Threats to External Validity • Construct validity • Mono-method bias. • Demand Characteristics. • Researcher bias. • Generalisation to other populations. • Ecological validity.

  6. Methods of Testing Validity • Content/Face Validity. • Predictive Validity. • Concurrent Validity. • Construct Validity. (Relates well to theory/expectations).

  7. Issue • It is easy to note that methods that are usually reliable are not always valid and that methods low in reliability are often valid. • It may be that much of human experience can not be studied in a restrictive scientific way to be valid.

More Related