Data Collection Team Cqnt 351 July 14, 2015 Professor Hon Ta
Data Collectionteam Cqnt351july 14 2015professor Hon Tachia 1 9dat
Data Collection team Cqnt351july 14 2015professor Hon Tachia 1 9dat
Data Collection Team C QNT/351 July 14, 2015 Professor Hon Tachia | 1 | 9 Data Collection Ballard Integrated Managed Service (BIMS) is a highly competitive company that offers service to 22 Fortune 100 businesses, over 100 midsized firms, 16 major universities, 14 medical centers, and 3 larger regional airports. Altogether, BIMS employs 452 workers including Barbara Tucker. In this paper the team will present the problem that BIMS has, identify the different types of data collected, describe how the data is coded, and draw a conclusion of the data to meet the purpose of the study. Barbara is faced with the challenge of trying to figure out why the retention of her employees has risen to 64% in the past 6 months. Barbara has also noticed the use of sick time has increased; workers appear to waste more time throughout the day, the employees performance has decreased, resulting in an increase in complaints from their clients. Due to all these factors, BIMS has given Debbie permission to develop an employee survey. This survey is anonymous and voluntary. Every employee will receive this survey with their checks, except upper management. It will be a series of question that will allow the employees to express their views regarding their working environment, shift hours, how they feel they are being treated by the company, as well as their compensation. By doing this, it will allow Debbie to draw a better conclusion as to why the retention is higher and the moral is down. Types of data collected From the Ballard Integrated Managed Services (BIMS) survey, there are both qualitative, and quantitative types of data collected. Qualitative data deals with the description; data can be observed but not measured example being: colors, textures, smells tastes, appearance beauty, etc. On the other hand, quantitative deals with the quantitative type of data, data that can be measured, examples are length, height, area, volume, weight, speed, etc., (McClave, Benson, & Sincich, ). Despite the data collected being both qualitative and quantitative, the qualitative just covers a small part of the research of the company. Barbara looks the activities happening on the sprawling campus through her 6th-floor office window. She notices the morale of her staff has changed negatively, but she doesn’t get the reason. The data collected major concentrates on the quantitative type of data, which clearly indicates the exact number of different results acquired. BIMS being a support service company has 22 Fortune 100 businesses, over 100 midsize firms, 16 major universities, 14 medical centers and three larger regional airports. The survey indicates 5300 staff members who are provided with daily meals. The company employs 409 full and part time workers and 27 managers. The Human Resource Manager, Debbie Horner who just completed her MBA applies it to research on the problems facing the company. It took her only two years carrying her survey after her MBA, and she had collected a lot of data from the workers. She based her thesis on employee motivation, how she could improve the morale of staff. The level of measurement for each variable depended on the type of data being collected by the researcher. Debbie Horner decided to conduct the biweekly survey payrolls where every worker was to respond. She also collected few demographics that she later used to study possible correlations with workers. Corrected Data No Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9 Q10 A B C D Appropriateness of the data to meet the purpose of the study The data presented for the study is very appropriate. The collected data includes both qualitative and quantitative data. The questionnaire created was used to query employee views with regards to their working conditions, their working hours, the quality of training provided by the company, levels of benefits, whether employees receive fair treatment, the internal communication of the company, and job security. The collected data has the population apparent, and after sending employees the survey, a sample of 78 out of 499 total response was received to be studied. The response represents about 17.3% of the total population to be studied. This is a reasonable amount to be considered for the study, thus providing a sample subset of the population. Although the data collected was not what was desired, the data collected selected from the larger set of data, which is called process sample and is adequate to estimate the studies at hand to make the required assumption and inference. The collected data is adequate to determine the mean, median mode. It is also appropriate to determine the standard deviation, variance, minimum and maximum levels. References McClave, J. T. M., Benson, P. G. B., & Sincich, T. (). Statistics for Business and Economics (11th ed.). : Prentice Hall. At the end, include a References section in HTML (for example, an