Sign Up Now
Get instant access to over 1 million+ study documents
OR
Already registered? click here to login
By creating your account, you agree to our terms of service, privacy policy and student honor code.
Leadership Effectiveness Inventory Data
Reliability Analysis
After collecting data from the Nordic questionnaires, a reliability test was carried out to ascertain whether the nine scales used could predict overall satisfaction with the manager as a leader. The analysis found the scales reliable and moreover, it was apparent that reducing the questions in the questionnaires could not compromise data reliability. In addition, communication, planning/execution and teamwork were proved to be the best predictors of satisfaction from the analysis.
For this study, data used were answers to 75 questions asked to 472 respondents regarding managerial behavior within the organization. Data sources are shown in Table 1 below.
Source of Data
N
Self
Direct Reports
Peers
Supervisors
In Table 2, descriptive statistics were recorded on individual items with descending means and respective standard deviations.
Mean
Standard
analyzing table 2 above, it is clear that three variables had means of more than 4; satisfied. These variables include Q69, Q3, and Q5 as well. In addition, there were 6 variables with means of less than 3; dissatisfied. These were, Q41, Q71, Q31, Q37, Q52, and finally Q33.
From the above table, minor differences in the means were realized from the four data sources, but with no systematic differences among them. The dependent variable, Q75; Overall, how satisfied are you with this person as a leader recorded a mean of 3.92. Table 3 shows the means of this variable...
According to the Post-hoc testing conducted, the only specific significant difference is supervisors' tendencies to rate managers higher than they rate themselves by approximately half points.
Data Analysis
Represented below in Table 4 are the nine scales in these data by 74 individual variables.
Scale
Number of Variables
Mean
Standard Deviation
Reliability
Alignment
1
3.25
1.04
0.85
Planning/Executing
1
3.45
0.81
0.78
Ensuring Customer Value
1
3.72
0.89
0.81
Coaching
2
3.34
0.89
0.85
Inspiring Teamwork
2
2.26
0.82
0.70
Embracing Change
2
3.42
0.86
0.75
Managing Resources
2
3.27
0.88
0.66
Communication
1
3.73
0.65
0.66
Personal Example
3
3.66
0.71
0.77
In Table 4 above, two of the scales; Managing Resources and Communication have reliabilities slightly lower than the recommended alpha level of 0.7 though, not to the point of unacceptability. The other remaining seven scales are reliable. Even though there were statistically significant differences between the means of the four reporting groups on all the scales except communication, they had no systematic tendencies. Additionally, there…
.....employee data to answer some human resources related questions using the SPSS software. The screenshots of the entire data are presented in the Appendix 1 and Appendix 2. The report provides the findings for the HR (human resources) issues after carrying out the data analysis of employee's data. The outcome of the analysis reveals that workers between 25 and 55 years of age form the largest percentage of employees in
Introduction: This essay�consists of two parts. Part A is an analysis of quantitative data and Part B is an analysis of qualitative data. We will give you the data in both cases. Each part should consist of data analysis, commentary and interpretation. You should write well-structured report of between 750 and 1000 words for each part � plus any diagrams and charts you produce and a list of references. Part A The report
2%, female 5.1% CRKEVER - male 13.9%, female 8.6% HEREVER -- male .9%, female, .5% 5 H1: Females are more likely than males to have ever smoked a cigarette. This hypothesis is not supported by the data. In this sample, 34.7% of those who had ever tried a cigarette were male, while 32.3% of those who had ever tried a cigarette were female. H2: Males are more likely than females to have ever used cocaine. This hypothesis
SPSS Exercise Each problem below describes a different research question. For each problem, you will state the null and alternative hypotheses, determine which statistical test is appropriate to answer each question, run the analysis using SPSS and the accompanying data set from Blackboard, and then draw a conclusion based on the results of the analysis. Keep all of your SPSS output from running each analysis. A researcher wishes to assess whether vitamin
State education agencies and local school districts needs to work to incorporate the major provisions of the No Child Left Behind Act (U.S. Department of Education, 2004a). The evaluator feels it is imperative that as teacher preparation programs, along with state and local education agencies, address the training, recruitment, and retention of highly qualified teachers and conduct counseling sessions for every American classroom. Teacher education programs can prepare future teachers
Statistical Analysis Reported in Two Journal Articles Research endeavors, albeit it clinical, empirical, descriptive, historical, or case study oriented, must at all times adhere to the rigors of effective or best-fit research practice. Without stringent controls placed on the area of investigation no research endeavor will advance any body of knowledge. To this end all research must be finely tuned and described as to intent or purpose, phenomenon to be