RESEARCH DESIGN: REDUCING TURNOVER THROUGH JOB SATISFACTION

A research design is described and explained for an intervention the objective of which is to reduce the turnover rate among technological professionals through enhancing the job satisfaction of such personnel. This description and explanation is presented within the contexts of (1) a description of the intervention, (2) the goal and objective of the intervention, (3) the target population for the intervention, (4) the stage of development of the intervention, (5) the purpose of this evaluation, (6) the evaluation design, (7) the sampling process, (8) the dependent and independent variables, (9) the levels of measurement for the variables, and (10) data collection methods.

The intervention selected has two components. The first component is an increase in the level of compensation for personnel in the target population. Specifically, this component of the intervention provides a 7.5 percent increase in compensation levels. The second component is an enhancement of the decision-making prerogatives of personnel in the target population. Specifically, this component of the intervention empowers personnel in the target population to make operational decisions at the team-level without consulting management at the next level above the team.

The intervention period will be five work weeks. At the end of the intervention period, measurements will be m

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ndent variable will be nominal. The level of measurement for the dependent variable will be interval. These levels of measurement for the variables will permit the use of analysis of variance (ANOVA) procedures in the evaluation of the post-test outcomes. Analysis of variance is a statistical technique that assesses the effects of one or more categorical independent variables (factors), measured at any level upon a continuous dependent variable that is usually assumed to be measured at an interval level. In other words, an attempt is made to explain the movement in a dependent variable through the analysis of movements in independent, or explanatory, variables. The interval level requirement for measurement of the dependent variable means that an equality of interval exists between the points on the scale with which the variable is measured. Analysis of variance is measured by the F Test. A strength of the analysis of variance procedure when compared with chi-square or t-test is that analysis of variance can measure the interactive effects of more than one independent variable on a dependent variable. One weakness of analysis of variance is that the data must be drawn from populations that are normally distributed. A seco
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Some common words found in the essay are:
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Approximate Word count = 2752
Approximate Pages = 11 (250 words per page)

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