1 / 7

Data Gathering

Data Gathering. “In science, observation (through data gathering) is a search for what is hidden, not just because it is hidden, but because its exposure will facilitate an intimate, sustained, and productive relationship with the world.” – A. Kaplan. 1. The Big Questions.

arnoldb
Télécharger la présentation

Data Gathering

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. Data Gathering “In science, observation (through data gathering) is a search for what is hidden, not just because it is hidden, but because its exposure will facilitate an intimate, sustained, and productive relationship with the world.” – A. Kaplan

  2. 1. The Big Questions • How do you define effectiveness? • What are the group goals? (stated & unstated) • What are the individual goals? (stated & unstated) • What factors contributed to effectiveness? • Networks • Communication climate & skills • Decision-making style • Structural issues (make-up of the group, size etc.) • Leadership style • Other (environment, trust, etc.)

  3. 2. Overview of methods • Categorize Behaviors • Verbal • Nonverbal • Tests & Scales (e.g. Semantic differential) • Observe & Interview • Socio-metric (choice making) • “With whom would you like to sit?”

  4. 3. Decision-points • Purpose • Degree of inference • Units of behavior • Sampling (events or over time) • When to record • Recording methods

  5. 4. Special Problems • The observer • Inference-observation confusion • “Demand” characteristics • “The instrument” • Behavior-construct gap • Terministic screen • Reliability • Validity • Basic Rule - The more the burden of interpretation is placed on on the observer, the greater the validity problem.

  6. 5. Sample technique • Rating scales • Evaluation of individual participants • Post-meeting reaction sheets • Interaction diagrams • Bales IPA • Clampitt (Content Style Analysis)

  7. 6. Putting the data into perspective • Triangulation • Agree • Disagree • Neutral • Distinguishing between individual and group effectiveness • Linking communication and group effectiveness

More Related