Skip to content
Solved Assignments

QNT 351 BIMS Research Study

This assignment presents a statistical evaluation of the BIMS research study, focusing on data-driven decision-making.

Preview 4 of 13 pages

See the first 4 pages exactly as they appear in the document.

  1. Page 1
    Read page 1 as text

    Running head: BIMS RESEARCH STUDY 1 BIMS Research Study Name QNT 351 date Instructor Analyze the BIMS Research Study report, focusing on the research methodology, data analysis, and hypothesis testing used to investigate employee turnover and morale issues at the Douglas Medical Center site. In your analysis, evaluate the effectiveness of the survey design, the validity of the conclusions drawn, and provide recommendations for improving employee retention. Your response should be between 1,500 to 2,000 words, supported by relevant statistical concepts and references.

  2. Page 2
  3. Page 3
    Read page 3 as text

    BIMS RESEARCH STUDY 2 BIMS Research Study Background and Purpose Headquartered in New York City, The Ballard Integrated Managed Services (BIMS) is a support service company that specializes in providing housekeeping and food services to many corporations and institutions to include 22 Fortune - 100 businesses. The focus of the research is the BIMS site at Douglas Medical Center (BIMS - DMC). The problem BIMS is facing is to determine the cause for the decrease in worker productivity and morale, which resulted in an increase in complaints from the hospital staff and administration (University of Phoenix, 2012 part 1). The purpose of the survey is for BIMS - DMC (hereafter called BIMS) employees to express their view about their job and to compute descriptive and frequency techniques and further study data for possible correlations. The research questions ask if respondents enjoy workin g for BIMS, how many times they called in sick, if they are well trained, if they are paid fairly, and if they like their supervisor. This (survey 2) was the second attempt to complete a survey to satisfy research efforts. The initial survey by BIMS HR personnel did not produce useful findings. The initial sample instrument (survey) had several flaws that made the majority of the results questionable . The initial survey contained biased items and awkwardly worded questions, was missing critical questions , was plagued by data entry errors and was never validated by pretest . Further, to improve the dismal 17.3% response rate of survey 1, HR personnel gave advance information about the purpose and sponsor of the survey, need for gathering employee views, reassurances about confidentiality and anonymity, plus descriptions of how the information would be used (University of Phoenix, 2012 part 2). After pretesting ( on

  4. Page 4
    Read page 4 as text

    BIMS RESEARCH STUDY 3 management and a small worker control group ), refinement, and finalization, survey 2 was issued to BIMS employees. T he survey goal was to reduce employee turnover and improve morale, so BIMS ’ HR manager decided to issue S urvey 2 to former employees during exit interviews . This would allow HR interviewers to use both descriptive statistics and frequencies by using the data to predict future resignations and to identify areas of greatest concern to the resigning employees. Both q uantitative data and qualitative data are collected in the BIMS survey, although most data is qualitative because of the nature of the company’s main concerns. BIMS then scaled the survey data so managers could troubleshoot the morale and productivity issues. Again, only 78 respondents comprise the sample that represents the 449 employees (minus management staff) of BIMS - DMC, although they represented the exiting population instead of current employees. Survey 2 Construct The survey contained 10 statements (S1 - S10) to gauge perception and job satisfaction, one question (Q11) to determine the respondent’s reason for quitting the job, and three questions (QA - QC) to gather demographic information (University of Phoenix, 2012 part 2 ). The responses for questions 1 - 10 are ordinal - level data. The respondents pr ovide an answer on a scale of 1 – 5. A response of 1 represents “Do Not Agree ,” 3 indicates a neutral response, and 5 represents “Strongly Agree . ” The data is considered ordinal - level data b ecause a rating of 5 does not indicate the respondent agrees 5 times more strongly than a rating of 1. Question 11 is answered at the nominal level because the ratings of A, B, C, D, and E represent a written description of why the respondent left the company. Responses to demographic question A are at the nominal level because the respondent indicates which of three divisions for the respondent

9 more pages in the full document

Unlock it once and it stays in your library, ready to chat with or turn into flashcards.

Unlock the full document

More Statistics study materials

See all

Study this document with CramX

Once it is in your library, every tool can work from it.