“Woah! It's like Spotify but for academic articles.”

Instant Access to Thousands of Journals for just $40/month

Get 2 Weeks Free

The Development of an Individual-Level Teamwork Expectations Measure and the Application of a Within-Group Agreement Statistic to Assess Shared Expectations for Teamwork

The Development of an Individual-Level Teamwork Expectations Measure and the Application of a Within-Group Agreement Statistic to Assess Shared Expectations for Teamwork

Abstract

Two studies were conducted to develop a measurement system for assessing individual-level and shared team-level expectations for teamwork. Study 1 provided initial reliability and validity evidence using traditional scale development techniques and demonstrated how the individual-level measure could be applied to the team level using a within-group agreement statistic. Study 2 used intact teams and provided additional validity evidence by replicating the measure’s factor structure and demonstrating the relationship between the individual- and team-level construct and several team-related variables. Implications for future research and methods for studying teams are discussed.
Loading next page...
Problems Reading this Article? Report Issue Here
 
/lp/sage/the-development-of-an-individual-level-teamwork-expectations-measure-bLRZHk95i7

You're reading a free preview. Subscribe to read or print the entire article.

And millions more from thousands of peer-reviewed journals, for just $40/month.

Get 2 Weeks Free

To be the best researcher, you need access to the best research

  • With DeepDyve, you can stop worrying about how much articles cost, or if it's too much hassle to order — it's all at your fingertips. Your research is important and deserves the top content.
  • Read from thousands of the leading scholarly journals from Springer, Elsevier, Nature, IEEE, Wiley-Blackwell and more.
  • All the latest content is available, no embargo periods.

Stop missing out on the latest updates in your field

  • We’ll send you automatic email updates on the keywords and journals you tell us are most important to you.
  • There is a lot of content out there, so we help you sift through it and stay organized.