CHAPTER 1: INTRODUCTION 1.0 Chapter Overview - DSpace@UM

independent (succession planning characteristics), control (demographic characteristics)and dependent (organizational outcomes) variables.4.9.1 Model 1 - Regression Analysis Between Organizational Outcomes AndSuccession Planning CharacteristicsThe first model showed regression analysis between the succession planningcharacteristics and organizational outcomes. The initial round of linear regression wasconducted without the controlling effect of demographic variable. It was noteworthy thatthe variable of succession planning characteristics made a statistically uniquecontribution to the prediction of the organizational outcomes/performance (R 2 = 0.385, F-value = 66.297, t-value = 8.142, p = 0.000), as shown in regression Model 1. Therefore, itcould be concluded that the model was adequate and the large F value indicated that alarge portion of the variation in the dependent variable, organizational outcomes (Y) wasexplained by the model. According to Hair et al. (2006) the variable used in regression isa predictor if the p-value is < 0.05. In this model, adjusted R 2 of 0.379 indicated that37.9% of the variance in the organizational outcomes was explained by the independentvariable of succession planning characteristics. Specifically, the significant positiverelationship indicated that for every increase of one point in the level of successionplanning characteristics there was an increase of 0.620 (standardized beta) inorganizational outcomes. This result was somehow anticipated because there was alreadya correlation found between the two variables based on the previous Pearson’s correlationtest. Therefore, this result further supported the acceptance of hypothesis H2 in previoustest. Results of these findings did have some consistency with prior research (Pattan,84