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Analysis, Data, and Summarized Findings for the Quantitative Research Proposal

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Analysis, Data, and Summarized Findings for the Quantitative Research Proposal

Evaluating Transformational Leadership on Job Satisfaction According to Gender

The purpose of this quantitative research proposal is to research the relationship between transformational leadership and job satisfaction with the moderating effect of gender. A cross-sectional study of a convenience sampling of students enrolled in HR program for Spring 2020 were sent the Multifactor Leadership Questionnaire™ (MQL).  Based on analysis of the collected data, we will determine if we can support or reject our hypotheses:

H1: Job satisfaction is higher amount those under transformational leadership.

H2: Job satisfaction under transformational leadership varies by gender.

H0: The null hypothesis is that gender is not a moderating influence on job satisfaction            and transformational leadership.

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Data Analysis and Results

To address our hypotheses, we will use descriptive statistics and data analysis to understand the correlation of leadership style to job satisfaction and if there are significant differences based on gender.

Instrument and Reliability

The instrumentations used for this quantitative research was a demographic questionnaire and the Multifactor Leadership Questionnaire™ (MLQ).  The demographic information obtained was age, generation, gender, race, education, and organizational information such as the participator’s role, tenure, and leader gender. The information was used to describe the sample. The MLQ questionnaire obtained information using 20 questions on the independent variable, transformational leadership, and two questions for the dependent variable, satisfaction, and the moderating variable of gender.

The MLQ’s reliability is well documented and acceptable as a credible instrument.  For the transformational leadership portion, Cronbach’s alpha was .971.  Cronbach’s alphas about .9 are considered highly reliable. For the satisfaction portion, Cronbach’s alpha was .444. This low alpha number is attributed to the low number of questions for this area.

 

 

Demographics

XXXXX

Table 1

VariableCategories#%
 20-292452.2
 30-39919.6
Age (n=46)40-491021.7
 50-5936.5
Gender (n=46)Male1226.1
 Female3473.9
 Gen X (1965-1980)1430.4
Generation(n=46)Millennials (1981-1996)2758.7
 Gen Z (1995-2010)510.9
 Asian12.2
 Black or African American613.0
Race/Ethnicity (n=46)Hispanic or Latino12.2
 White3780.4
 Choose not to disclose12.2
Highest EducationMaster’s Degree510.9
Achieved (n=46)Bachelor’s Degree4189.1
 Other Higher Education1328.3
 Industry/Manufacturing613.0
Organization (n=46)Governmental/Utility/Nonprofit715.2
 Professional Services/Technology613.0
 Healthcare510.9
 Retail12.2
 Other817.4
 Individual Contributor2350.0
OrganizationalLeader/Supervisor1328.3
Role/Title (n=46)Executive36.5
 Independent Contractor12.2
 Other613.0
 Less than 1 year1123.9
Organizational1-3 years1839.1
Tenure (n=46)4-7 years919.6
 Greater than 8 years817.4
 Male2043.5
Direct LeaderFemale2554.3
Gender (n=46)Choose not to disclose12.2
 Less than 1 year1941.3
Length of time1-3 years1737.0
Reporting to 4-7 years613.0
Direct Leader (n=46)Greater than 8 years36.5
 Missing data12.2

 

Data Analysis

XXXX

Table 2

Summary of Intercorrelations, for Scores on the MLQ

Measure123
1.Transformational

 

 

___

 

 

2. Job Satisfaction        Pearson Correlation

Sig (2-tailed)

 

.207

.177

 

 

 

___

 

3. Gender                   Pearson Correlation

Sig (2-tailed)

 

 

 

-.146

.338

 

 

-.217

.153

 

 

 

___

**Correlation is significant at the .01 level (2-tailed)   n=45

**Correlation is significant at the .05 level (2-tailed)

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