Week 5 Analyzing and Interpreting Data

Topics: Scientific method, Research, Level of measurement Pages: 11 (1740 words) Published: April 16, 2015


Analyzing and Interpreting Data
Team X
QNT/351

Analyzing and Interpreting Data
The ultimate goal of descriptive statistics is to describe a set of data, identify patterns, and draw a conclusion, which enables an organization to make effective and informed decisions (McClave, Benson, & Sincich, 2011). The company, Ballard Integrated Managed Services (BIMS), a support services company will leverage statistics to gather information on the company’s employees to analyze and identify patterns. The goal of this research project is to determine the reason for the high employee turnover and low morale. The research team has developed a strategy that ensures that the management dilemma will be resolved in the most economical way, and with valid, reliable, stable, and practical information. Research Problem and Purpose

The most prolific management dilemma that businesses encounter is retaining employees. BIMS has experienced an increase in employee turnover, which puts the company’s long-term sustainability and client relationships at risk. It is the function of management to organize the resources, locations, and authority within the organization to ensure optimal use of the company’s resources. The purpose of the research study is to determine the source of the low employee morale, productivity, and engagement. Research Questions

Research questions are open-ended questions, with the objective of discovering future tasks, identifying variables, ethical considerations, and defining the hypothesis (Cooper & Schindler, 2011). This step is essential to ensuring that the research team solves the right management dilemma. Prior to implementation, the research team would develop a lot of research questions. These questions include: 1. Do you enjoy your assigned shift?

2. How many times have you called in sick in the past month? 3. Were you trained for the position you currently work in?
4. Does you manager communicate properly?
5. Do you feel you are being paid the proper salary for your position? The Hypothesis and Variables
A hypothesis is an empirical statement that can be objectively tested and measured (Cooper & Schindler, 2011).   The hypothesis for this research study would be, improving the supervisor’s competencies, and abilities will improve employee morale. The goal of a hypothesis is to establish a relationship between variables, which define an event, act, characteristics, trait or attribute that can be measured, valued, and observed (Cooper & Schindler, 2011).  By clearly identifying the variables, it will assist the researchers to determine and limit the scope of the research study (Cooper & Schindler, 2011). Instrument

BIMS utilized a survey to collect the data, which enables the researcher to sample a group and record their responses (McClave, Benson, & Sincich, 2011). The survey implemented by BIMS included 14 questions and was given to all employees with their paychecks. The survey focused on a variety of topics to ensure that all relevant data was collected in the most economical way. Out of the 449 employees only 78 responses to the survey were received. The ultimate goal of the instrument is to collect mature instrument ensures the collection of valid, relevant, stable, unbiased, and practical data (McClave, Benson, & Sincich, 2011). Data Collected

BIMS used the survey to collect quantitative and qualitative data. The qualitative data gathered by BIMS within the employee survey is the division in which the employee works, the employee’s gender, and the employee’s position. The quantitative data collected by the survey includes how long the employee has worked for the company, and questions one through ten, which requests the employee to rank the responses. The data gathered will enable the company to answer a variety of research questions and resolve the hypothesis. Level of Measurements

Once the data has been collected it will be...

References: Cooper, D., & Schindler, P. (2011). Business research methods (11th ed.). New York, NY: McGraw-Hill/Irwin.
McClave, J.T., Benson, P.G., & Sincich, T. (2011). Statistics for Business and Economics (11th ed.). Boston, MA: Pearson Education, Inc.
Lind, D.A., Marchal, W.G., & Wathen, S.A. (2011). Basic Statistics for Business & Economics (7th ed.). New York, NY: The McGraw-Hill Irwin Companies, Inc.
Lockyer, S. (2004). Coding Qualitative Data. Retrieved from The Sage Encyclopedia of Social Science Research Methods, v. 1, 137-138. Thousand Oaks, Calif.
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