Employee Engagement and Career Development



Employee Engagement and Career Development

While the tables present an overview of employee engagement and possible difference within and between departments without further research we do not know if these differences are statistically significant. Using the statistical techniques such as (a) Pearson Correlations is a quantifying tool of the linear correlation involving two independent variables X and Y, open handing a charge among +1 and -1 comprehensively. It is extensively used in the contemporary studies; as a quantifying tool of the potency of linear reliance among two variables (Jackson, S. 2008). (b) Cronbach's alpha, is a coefficient of internal consistency. It is frequently used as an approximation of the dependability of a psychometric investigation for a section of respondents (Jackson, S. 2008), and (c) multivariate regression analysis; this technique is an influential tool for examination and treatment of huge statistical sets (Yan, X. 2009).

The objective in every statistical examination is to pull out from unprocessed data the precise judgment. One of the mainly significant and widespread questions regarding; if there is an arithmetical association among a rejoinder variable and expounding variables. We will examine which, if any of these variables influences employee engagement. Regression analysis provides a statistical explanation of how one variable is related or affected to one or more variables (Wilton, Keating, & Beal-Hodges, 2012).

In other words, beyond correlations, linear regression analysis measures the strength of the relationships between variables and seeks to ascertain if one variable affect another. Creswell adds that “a regression table shows the overall amount of variance in a dependent variable by all independent variables” (2008, p. 369).

To address the questions in the study the dependent variable, what is being predicted, is career development as measured by combining the answers to the three questions identified earlier. The objective in every information ...