thesis_Daniela Noethen_print final - Jacobs University
thesis_Daniela Noethen_print final - Jacobs University
thesis_Daniela Noethen_print final - Jacobs University
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Multilevel Investigation of Antecedents of Knowledge Sharing and Seeking in Teams<br />
When individual-level predictors were added<br />
<br />
, (1)<br />
<br />
and when team-level predictors were added<br />
<br />
. (2)<br />
<br />
In order to test our general propositions that influences on sharing and seeking differ as<br />
well as influences at the individual and team level, we defined contrasts for the respective<br />
coefficients in HLM (Enders & Tofighi, 2007; Hox, 2002). A contrast is a composite<br />
hypo<strong>thesis</strong> on a set of parameters that postulates, for example, that parameters are equal.<br />
Contrasts are tested, automatically within HLM 6.06, with an asymptotic chi-square test (Hox,<br />
2002; Raudenbush & Bryk, 2002; Tabachnick & Fidell, 2001). To ascertain if individual age<br />
has the same association with both sharing and seeking, we tested the null hypo<strong>thesis</strong><br />
represented by the contrast 1* coefficient for individual-level age (sharing) + (-1)* coefficient<br />
for individual-level age (seeking) = 0. Likewise, to determine if age has the same association<br />
with sharing at the individual and team level, the null hypo<strong>thesis</strong> represented by the contrast<br />
1* coefficient for individual-level age (sharing) + (-1)* coefficient for team-level age<br />
(sharing) = 0.<br />
2.5. Results<br />
2.5.1. Descriptive statistics<br />
Table 1 depicts the descriptive statistics, ICC(1)s, reliability coefficients, and zero-order<br />
correlations. However, estimations in this correlation matrix should be interpreted with<br />
caution, since they only depict individual level zero-order correlations and do not take the<br />
non-independence of the data into account.<br />
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