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MGT600 UNIT 4 IP DATA ANALYSIS AND HYPOTHESIS TESTING:EMPLOYEE EMPOWERMENT AND PRODUCTIVITY Eric Braatz AIU Dr. Maria Marin 1/27/2011
ABSTRACTData from a cross sectional field study is used to determine ifthere is a relationship between a sense of employeeempowerment and productivity. The notional data generatedfor Pearson correlational analysis supports a positiverelationship between the two variables. Alternate methods ofstatistical analysis are also discussed herein. The relationshipbetween the independent and dependent variables issupportive of findings from past studies.
PURPOSE OF STUDY Cross-sectional correlation study to determine the relationship between employee empowerment and productivity Null Hypothesis (H 0 )There is no relationship between a sense of employee empowerment and productivity. Alternative Hypothesis (H A ) There is a relationship between a sense of employee empowerment and productivity.
RESEARCH INSTRUMENTATION Semi-structured interviews with employees and literature review were used to determine survey instrument type A 10-question, 5-Point Likert scale survey administered to 20 subjects 5 questions measuring sense of empowerment section is employee self-reported 5 questions assessing productivity section is completed by employee’s supervisor
STUDY DATA PREPARATIONSubject Empowerment Productivity A B 4.9 3.0 4.7 2.7 Survey response data C 2.5 1.6 is transformed and D 3.1 4.0 E 2.4 3.0 summated into one F G 2.0 1.7 2.0 1.1 score for each H I 1.0 1.5 1.0 2.2 measured variable J 3.2 3.7 Empowerment K 1.0 1.8 L 2.8 3.1 Productivity M 4.2 4.5 N 5.0 4.1 Empowerment Productivity O 4.2 4.0 Range 1.0 - 5.0 P 5.0 5.0 Median 2.9 3.1 Q 3.7 2.6 R 2.3 3.3 Mean 3.0 3.0 S 2.1 2.5 1.37368421 Variance 1.677894737 T 4.4 3.1 1 St. Dev. 1.295335762 1.172042751
ANALYSIS OF DATA The data shows a strong positive correlation between the variables of empowerment and productivity Pearson correlation coefficient: r = 0.850043314 Coefficient of determination: r 2 = 0.722573636
VISUALIZATION OF DATA Scatter Diagram & Regression Analysis 6.0 y = 0.7691x + 0.6926 5.0 R² = 0.7226 4.0Productivity 3.0 Subjects Linear (Subjects) 2.0 1.0 0.0 0.0 1.0 2.0 3.0 4.0 5.0 6.0 Empowerment
HYPOTHESIS TESTING H 0 is rejected and a positive relationship between the two variables is supported by H A Strength of correlation is strong r 2 = 0.722573636 Significance of correlation is adequate p = 0.000002
DISCUSSION OF ANALY TICAL METHODS Pearson Correlation deemed appropriate Compares two parametric variables Tests against null hypothesis Allows relationship to be visualizedChi-square test Used for nonparametric data t -test Single sample or paired Used to compare sample to population standardANOVA Tests significance of mean differences among >2 groups
CONCLUSION The null hypothesis is rejected Data supports a positive relationship between independent variable: employee empowerment and dependent variable: productivity Conclusion supports findings of previous studies and adds validity to prevailing theories Recommendation to employers: Emphasis on empowerment policies & training for employees
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