Table 3 Construct correlation matrix...

Table 3

Construct correlation matrix

Latent variables	Mean	SD	1	2	3	4	5	6	7
1. PER	82.393	24.884	1
2. SE	−0.001	0.952	−0.046	0.824
3. MA	0.000	0.756	0.317	0.244	0.618
4. # SP	0.595	0.493	−0.273	0.153	−0.012	1
5. TEN	8.405	6.841	0.065	0.149	−0.107	−0.062	1
6. GEN	0.873	0.333	0.006	0.005	−0.107	0.032	0.124	1
7. PRI_EX	0.357	0.479	0.052	0.031	0.026	−0.055	−0.248	0.135	1

Latent variables	Mean	SD	1	2	3	4	5	6	7
1. PER	82.393	24.884	1
2. SE	−0.001	0.952	−0.046	0.824
3. MA	0.000	0.756	0.317	0.244	0.618
4. # SP	0.595	0.493	−0.273	0.153	−0.012	1
5. TEN	8.405	6.841	0.065	0.149	−0.107	−0.062	1
6. GEN	0.873	0.333	0.006	0.005	−0.107	0.032	0.124	1
7. PRI_EX	0.357	0.479	0.052	0.031	0.026	−0.055	−0.248	0.135	1

Note(s): n = 126 respondents

The square root of the AVE is on the diagonal

SD = standard deviation, PER = performance, SE = self-efficacy, MA = managerial attitude, #SP = number of specializations, TEN = tenure, GEN = gender, PRI EX = prior experience as head of unit

Gender (1 = man, 0 = woman), PRI EX (1 = yes, 0 = no)

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