pdf - Nyenrode Business Universiteit
pdf - Nyenrode Business Universiteit
pdf - Nyenrode Business Universiteit
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3.3. SAMPLE AND MEASUREMENT 69<br />
3.3.3 Measurement<br />
This section describes the measurement of the variables used for this study. I discuss the<br />
variables related to the research hypothesis (i.e., noise in the performance evaluation, and<br />
RPE-Use), as well as the noise drivers (i.e., environmental uncertainty, goal ambiguity,<br />
measurability of outputs, emphasis on personal-level measures, and emphasis on disaggregated<br />
measures). Additionally, this section motivates and describes the control variables<br />
for size and sector. When references are made to the questionnaire items, please see the<br />
appendix at the end of the thesis for the exact phrasing, response categories, and, if applicable,<br />
sources.<br />
Noise in the Performance Evaluation The dependent variable noise in the performance<br />
evaluation is based on a single question that asks the respondent to indicate the<br />
extent to which the performance evaluation that he receives is based on factors over which<br />
he has control (Q34). Throughout this chapter, this proxy is referred to as ‘NOISE’.<br />
NOISE is measured by taking the reverse of the respondents’ answers. In other words,<br />
NOISE measures the extent to which the performance evaluation is influenced by factors<br />
that lie beyond the business unit manager’s control. I acknowledge that relying on a single<br />
indicator construct is less than ideal, especially when measuring the dependent variable<br />
in the model. Therefore, I seek additional validation for NOISE. The questionnaire provides<br />
additional items that support this metric. Specifically, the questionnaire provides<br />
two items that are associated with the variable of interest, though they do not measure<br />
noise in the performance evaluation per se. For one, I asked the respondents to indicate<br />
the extent to which the business unit’s performance is substantially influenced by factors<br />
beyond his control (labelled: exogenous-performance-effects, Q35). Similar to NOISE, this<br />
question refers to the impact of exogenous factors. However, this time on the difficulty of<br />
the business unit performance instead of on the performance evaluation. Several reasons<br />
exist why NOISE and exogenous-performance-effects are not perfectly correlated. Firstly,<br />
the performance evaluation can be informed by things other than the business unit’s performance<br />
(e.g., contributions to firm performance, or personal development of skills). If<br />
so, the exogenous events that impact the business unit’s performance, impact the performance<br />
evaluation only to a certain degree. Second, the performance evaluation can be<br />
insulated from exogenous events that influence business unit’s performance through, for<br />
example, RPE. As argued before, RPE filters noise out of the performance evaluation.<br />
However, RPE does not remove the impact of exogenous events on the BU performance itself.<br />
Therefore, I expect NOISE and exogenous-performance-effects to correlate positively<br />
with one another, though not to a great extent.<br />
The second questionnaire item to validate NOISE captures more broadly and informally<br />
whether the respondent is held accountable for uncontrollable factors, instead of whether