Size Does Matter: How Varying Group Sizes in a Sample Affect the Most Common Measures of Group Diversity
By Torsten Biemann, Eric Kearney. 2009
169 citations recorded by the source corpus.
Subfields: Gender Studies
View Paper: https://www.semanticscholar.org/paper/c88f3f9e4a7206d02436eac8965601cdef0e6c62
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Gender Studies
- Bart de Jong
- E. D. Mol
- Tom Elfring
- B. Vogel
- Torben Schubert
- Melissa S. Cardon
- Robert R. Hirschfeld
- Svetlana Khapova
Citations in the corpus
- Product Innovation and Educational Diversity in Top and Middle Management Teams (2020, methodology): “First, greater educational diversity implies access to broader knowledge pools, which allows TMTs to assess the conditions in their environment more accurately (Faems and Subramanian 2013, Biemann and Kearney 2010).”
- Dispersion-Composition Models in Multilevel Research (2011, background): “In addition, we recommend that multilevel researchers continue to report ICC(1) values associated with a consensus-based construct (or constructs), as ICC(1) may be interpreted as an effect size estimate of the extent to which individuals’ ratings are attributable to group membership (Bliese, 2000).”
- Entrepreneurial passion diversity in new venture teams: An empirical examination of short- and long-term performance implications (2020, background): “As Foo et al. (2005, p. 13) note, “convincing gatekeepers of the viability of an idea is an important step to secure resources, including capital, access to potential suppliers, advice and mentorship (Birley, 1986)”.”