Who r u?: On the (in)accuracy of incumbent-based estimates of range restriction in criterion-related and differential validity research.

2017 ◽  
Vol 102 (5) ◽  
pp. 802-828 ◽  
Author(s):  
Philip L. Roth ◽  
Huy Le ◽  
In-Sue Oh ◽  
Chad H. Van Iddekinge ◽  
Steven B. Robbins
2012 ◽  
Vol 2012 (1) ◽  
pp. 10295
Author(s):  
Philip L. Roth ◽  
Huy Le ◽  
In-Sue Oh

2014 ◽  
Vol 99 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Philip L. Roth ◽  
Huy Le ◽  
In-Sue Oh ◽  
Chad H. Van Iddekinge ◽  
Maury A. Buster ◽  
...  

2014 ◽  
Vol 2014 (1) ◽  
pp. 10086
Author(s):  
Philip L. Roth ◽  
Huy Le ◽  
In-Sue Oh ◽  
Chad H. Van Iddekinge

Methodology ◽  
2012 ◽  
Vol 8 (2) ◽  
pp. 71-80 ◽  
Author(s):  
Juan Botella ◽  
Manuel Suero

In Reliability Generalization (RG) meta-analyses, the importance of bearing in mind the problems of range restriction or biased sampling and their influence on reliability estimation has often been highlighted. Nevertheless, the presence of heterogeneous variances in the included studies has been diagnosed in a subjective way and has not been taken into account in later analyses. Procedures to detect the presence of a variety of sampling schemes and to manage them in the analyses are proposed. The procedures are further explained with an example, by applying them to 25 estimates of Cronbach’s alpha coefficient in the Hamilton Scale for Depression.


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