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Leadership styles, mentoring functions received, and job-related stress

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Table 3. Factor loadings, composite scale reliability, <strong>and</strong> average variance extracted to assess reliability of<br />

measures<br />

Construct<br />

Measures<br />

LEADERSHIP, MENTORING AND STRESS 379<br />

Factor<br />

loading<br />

Weights of<br />

measures<br />

Composite<br />

scale<br />

reliability<br />

Average<br />

variance<br />

extracted<br />

1. Laissez-faire LF 1 0.92 0.79 0.78 0.64<br />

LF 2 0.68 0.45<br />

2. Transactional contingent reward CR1 0.74 0.47 0.79 0.56<br />

CR2 0.82 0.54<br />

CR3 0.67 0.35<br />

3. Transformational leadership II 0.81 0.36 0.86 0.62<br />

IM 0.68 0.15<br />

IS 0.76 0.20<br />

IC 0.89 0.54<br />

4. Mentoring <strong>functions</strong> <strong>received</strong> PSYCH 0.85 0.61 0.83 0.71<br />

CARDEV 0.84 0.58<br />

5. Job <strong>stress</strong> STRESS1 0.76 0.31 0.91 0.63<br />

STRESS2 0.81 0.19<br />

STRESS3 0.74 0.12<br />

STRESS4 0.89 0.27<br />

STRESS5 0.71 0.18<br />

STRESS6 0.83 0.19<br />

Note. LFˆ laissez-faire; CR ˆ contingent reward; II ˆ idealized in¯uence-behavior; IM ˆ inspirational motivation;<br />

IS ˆ intellectual stimulation; IC ˆ individualized consideration; PSYCH ˆ psychosocial support; CARDEV ˆ career<br />

development; STRESS ˆ <strong>job</strong>-<strong>related</strong> <strong>stress</strong>.<br />

Table 3 shows the factor loadings, weights, composite scale reliabilities, <strong>and</strong> average variance<br />

extracted based on PLS analysis of full sample data. With the exception of factor loadings of one<br />

indicator of laissez-faire, contingent reward, <strong>and</strong> transformational leadership constructs, which<br />

were slightly below the recommended criterion cut-o€, all reliability criteria were met by the<br />

study's constructs. In PLS, convergent <strong>and</strong> discriminant validity of indicators of re¯ective<br />

constructs is assessed using criteria similar to a multi-trait/multi-method analysis (Falk <strong>and</strong><br />

Miller, 1992; Kahai et al., 1997). One criterion is that the construct representing the items should<br />

share more variance with its items than with other constructs in the model (Carmines <strong>and</strong> Zeller,<br />

1979). A matrix is shown in Table 2, in which the diagonal elements show the square root of<br />

the average variance shared by a construct with its indicators. For adequate convergent <strong>and</strong><br />

discriminant validity, the diagonal elements should be greater than entries in the corresponding<br />

rows <strong>and</strong> columns. Results summarized in Table 2 indicate this criterion was met.<br />

Results of PLS analysis<br />

Results of PLS analysis to test the hypotheses are presented in Table 4. As predicted by<br />

Hypothesis 1a, there was a positive relationship between mentor transformational leadership<br />

behavior <strong>and</strong> prote ge receipt of <strong>mentoring</strong> <strong>functions</strong>. As predicted by Hypothesis 1b, there was a<br />

positive relationship between mentor transactional contingent reward leadership behavior <strong>and</strong><br />

prote ge receipt of <strong>mentoring</strong> <strong>functions</strong>. As expected, the positive in¯uence of mentor transactional<br />

contingent reward leadership behavior on prote ge receipt of <strong>mentoring</strong> <strong>functions</strong> was<br />

not as strong as that of mentor transformational leadership behavior. As predicted by Hypothesis<br />

Copyright # 2000 John Wiley & Sons, Ltd. J. Organiz. Behav. 21, 365±390 (2000)

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