סמינר בהתנהגות ארגונית

Evaluation of Within Group Agreement

פרופ' איה כהן

 הטכניון- מכון טכנולוגי לישראל

01 בנובמבר 2016, 11:15 
Room 305  

Complex, multilevel theories are common in the behavioral sciences research where notions of collective phenomena such as group affect, team efficacy, and organizational climate are studied. A major challenge for researchers working in these areas is that higher level phenomena often cannot be assessed directly, but rather inferences must be made from data collected at lower levels of analysis. In many cases, these phenomena are understood conceptually to arise from lower levels, often from individuals, within these collectives. The methodological implication is that measurement should take place at the lower level, (e.g., the individual level) and then the data should be aggregated to the level of interest, (e.g., the group level or organizational level). It is accepted that within group agreement is a pre-requisite for aggregating individual ratings to the group level. Agreement reflects the degree to which the members of the group share a similar view so that the aggregated value can be used to reflect their view. 

When justifying aggregation agreement indices, rWG(J), or AD  are used together with the intra-class correlation  ICC to demonstrate agreement and consistency among lower-level units .

Along with the progress on evaluating agreement based on, rWG(J) , or Ad are still many practical questions how to infer from the calculated agreement indices whether the agreement is large enough to justify aggregation.

In the seminar I shall introduce the rWG(J) and AD indices, explain their properties and  how they are used ( and misused). I shall describe and discuss the RGR method, (Bliese & Halverson ,1996)  which compares the estimated agreement  indices and ICC obtained for actual team data to that of ‘‘pseudo teams’’ formed by randomly combining individual responses into ‘‘teams".

 I shall also point out open questions that still remain concerning how to use the observed values of these indices to infer about agreement and briefly describe recent new developments.

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