...Analyzing and Interpreting Data Jonnerious Gilder, Darryl Hardamon, Tenisha Holman, Simona Lewis, Shawanna Nelson, and Christine Norris QNT/351 July 22, 2015 Huei Holloman Analyzing and Interpreting Data Describe the instrument used for data collection. Data instruments apply “to the levels of measurement of your independent variables and dependent variable” (Lind, Marchal, & Wathen, 2011, p. 5). Survey is a quantitative research approach, not a data instrument. However, “what a scale means and what we can do with it depends on what its numbers represent” (Davis Education, 2015, para. 1). Statistics can be classified into four types or levels, which are nominal, ordinal, interval, and ratio (Lind, Marchal, & Wathen, 2011). Nominal is the easiest of them all. Nevertheless, the ratio is the most complicated of the four type of levels of measurement. Nominal Nominal is hardly measurement. “It refers to quality more than quantity” (Davis Education, 2015, para. 2). A nominal level of measurement is a concerned with differentiating by name. For example, 1 equals male, 2 equals female. Even though, when are using the numbers 1 and 2, they do not symbolize quantity. The two category of 0 and 1 used for the smart cell phone is a nominal level of measurement. They are categories or classifications. “Nominal measurement is like using categorical levels of variables” (Davis Education, 2015, para. 2). Ordinal Ordinal means the order in measurement. “An ordinal scale...
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...Analyzing and Interpreting Data Leontyne Powell, Omyni, Kahlil Jackson Harrell QNT 351 February 26, 2015 Professor Jonte Lee Analyzing and Interpreting Data Introduction The purpose of this report is to analyze both Ballard Integrated Managed Services, Inc. initial survey and survey B workforce. The first survey results failed to reveal the problems within the workforce that BIMS needs to identify and solve the issues of low morale and high turnover with the organization. This report will analyze B survey, explain the results, and provide a recommendation for the problems uncovered the analysis of BIMS workforce. This report will define statistics and introduce how to analyze and interpret data. The case study used in this report is BIMS LLC, a cleaning, and housekeeping company. This report will present how number data and graphing is used in analyzing data. This report will present an explicit hypothesis. This report will conclude with precise resolutions that will assist the company to move onward to a superior company. Statistics is the science of accumulating and assessing numerical evidence in an enormous measure, especially for the determination of reducing proportions in total from those in a descriptive sample. There are two types of statistics, and one is called descriptive and the other inferential. Descriptive statistics is a technique used to organize, summarize, display facts in a useful manner. Inferential statistics is the procedure used to measure...
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...Analyzing and Interpreting Data QNT/351 March 25, 2015 Analyzing and Interpreting Data The company Ballard Integrated Managed Services Inc. (BIMS) made a second attempt to find the root problem of the increase in turnover that the company has experienced. The first attempt failed to give a concrete answer do to the low encouraging to employees to complete the survey, also the confusing wording of the survey and for the small percentage of workers that completed the questionnaire. Only a 17.3% of employees completed the previous study. Also, many of the questions were irrelevant to help find the problem. In this new attempt, the study was first tested by five craft workers voluntarily for them to review and give their feedback on the survey. Another change in the second survey is that it was only given to workers that left the company voluntarily. The survey focuses on asking employees about their experience in the business and why the reason of leaving was. In the first survey, it was revealed that the turnover increase was due to low employee morale, a lack of communication between employee and supervisor and low employee performance. The second survey focused on asking if the employee felt well trained in the job assigned, if they felt a fair treatment, if communication was good, what division, how long did they work for the company and the reason for leaving. There were eleven qualitative questions that were to be answered based on a scale from one to five, one being...
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...Analyzing and Interpreting Data Debbie Horner, HR manager of BIMS, had several flaws that made the majority of the result for the first survey questionable. She found out that some question should not ask, and other questions were worded awkwardly. The numbers of errors the happened when keying data led to a reduced accuracy in the results. In future Debbie will pretest the sample instrument before issuing it to workforce. Debbie created a second improved survey effort that was better planned and marketed. Barbara Tucker, general manager of BIMS at the Douglas Medical Center approved the request, while the rest of the top management team was disappointed. In the second survey Debbie circulated it among the senior management team, inviting each person to be sure the survey completed. In the individual work a number of suggestions made as well as adding new items. These changes were included in the survey design. Debbie solicited five craft workers to voluntarily pretest it. These five were all on noncritical medical leave, so they were able to comfortably conduct the review. Debbie suggested interviewing the employees who’s already left the organization by asking them “why?” Debbie’s goal was to use the data to create a regression statement that could be used to predict future resignations. Combine finding Going over the issues that rose in part two of the BIMS, we can see that some changes were administered on the second survey. The main issue was the increase of the annual...
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...Analyzing and Interpreting Data Team B Karl Redmon, Monica McNair, Raymond Jones, Connie Guild, Denise Green, Lisa Holley, Lauren Olmedo QNT351 Lance Milner May 25, 2015 Introduction Overview-Monica Barbara Tucker, General Manager at BIMS recently discovered an increase in the turnover rate and a decrease in employee morale due to an undisclosed dissatisfaction in the working conditions which also resulted in an increase in sick time used, and a decrease in work performance. A survey was constructed and implemented by Debbie Homer, HR Manager analyzing the frequency and descriptive techniques of the data received. The survey’s purpose was to elicit information to gain insight on the employee’s views on working conditions, fair treatment, level of compensation, training, shift hours worked, internal communications and job security of the company. However, the initial survey produced findings that were not useful due to errors in keying in the data by office support, and biased questions that affected how the employees responded. As a result of the poorly constructed questions and bias information sought through the survey, only 17.3% response rate was received which was lower than expected. As a result, Debbie realized further communication was needed to explain why BIMS wanted background information from the employees and reassurance the answers provided would be kept anonymous and confidential to elicit a higher response rate. Moving forward Debbie sought approval...
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...Analyzing and Interpreting Data: BIMS Week 5 QNT/351 November 1, 2015 Analyzing and Interpreting Data: BIMS Week 5 In the aforementioned survey that Ballard Integrated Managed Services created and conducted it was found to have lacked important material making the survey not as accommodating as it could have been. Ballard Integrated Managed Services had asked that recommendations be made about needed information on the survey that will help in the research of the increase of employee turnover. The previous survey covered elements of the proper training, ethics, and demographics but it likes a few more elements. First the survey was given to active employees and not to employees that were leaving the job. Another element of information that needs to be included is safety, such as do the employees feel like the work environment is safe. One more area that may be helpful information is to give the employee the opportunity to make a comment in a section set for additional comments that the survey may not include. For Ballard Integrated Managed Services to conduct a complete survey it is important the survey includes the information needed to acquire the results needed to help resolve the issues. When looking at the results from the exit interview, it is easy to see that the survey gave BIMS a better idea of why the member of the company was leaving, and not how the employee was feeling about his or her job. The questions were re-worded so not to be leading or easily misconstrued...
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...found. Lastly, I will summarize how scientifically sound research supports the function of a human services manager. There are six steps in the scientific method. According to Creswell (2012), they are; identifying a research problem, reviewing the literature, specifying a purpose for research, collecting data, analyzing and interpreting the data, and reporting and evaluating research. Each of the steps in the scientific method need to be included to support the scientific method because without it information will be missing. The first step in the scientific method is to ask a question. You need to have a question so you can search for the answer. The second step is to review the literature. This means to locate, select, and summarize resources. The third step is to specify a purpose for the research. This means you identify the purpose statement, and narrow down the purpose statement to research questions, or hypotheses. The fourth step in the scientific method is to collecting data. This means gathering information, permission, and selecting individuals to study. The fifth step is analyzing and interpreting the data. In this step you break down, represent and explain the data. The last step in the scientific method is reporting and evaluating research. In this step you decide on the audience, structure the report, and write the report sensitively. All of these steps work together to get to the end result which is an...
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...once. When most of us think about statistics, we think of comparisons, of two or more entities but ones balance might be more or less as well as winning and losing. There is still that scale that separates the two where one is ahead of the other. The people analyzing and drawing conclusions are getting this information have to get it out to those that follow up on whatever the subject may be fast because people want to know. It’s said that Statistics is the science of planning studies and experiments, obtaining data, and then organizing, summarizing, presenting, analyzing, interpreting, and drawing conclusions based on data according to (Pearson’s Elementary Statistics Using Microsoft Excel by, Mario F. Triola). This is the same as I said without including all of the other tools needed, or used in Statistics. Television shows are another example being on statistic radar so to speak. You have so many television shows that are out right now, but how do we know which one is the most watched? What if you want to know which show makes the most money? As I mentioned earlier, you see the comparisons having to be made between two or more entities has to be made. This is when summarizing, analyzing, and interpreting comes in to play because you have to do all of those things to come to a conclusion or rather an answer to what millions...
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...Marketing information system ( MIS) — which is an organized way of continually gathering, accessing, and analyzing information that marketing managers need to make ongoing decisions. b. Decision support system ( DSS) — a computer program that makes it easy for a marketing manager to get and use information. These types of programs help marketing managers convert information into knowledge that allows them to make informed marketing strategy decisions. c. Marketing dashboard - which displays up-to-the-minute marketing data in an easy-to- read format d. Marketing model - is a statement of relationships among marketing variables. e. 2. Understand the scientific approach to marketing research. f. Scientific method - a decision-making approach that focuses on being objective and orderly in testing ideas before accepting them. g. Hypotheses — educated guesses about the relationships between things or about what will happen in the future. h. Marketing research process - is a five- step application of the scientific method that includes: i. 1. Defining the problem - Defining the problem is often the most difficult step in the marketing research process. But it’s important for the objectives of the research to be clearly defined. The best research job on the wrong problem is wasted effort. ii. 2. Analyzing the situation - When the marketing manager thinks the real problem has begun to surface, a situation analysis...
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...students. In addition, this paper aims to provide encouragement and motivation to all students especially to those who are financially distressed to pursue and finish a college degree in order to competitive in the future and be able to realize their goals and aspirations. It may also provide learning experiences and information to other students who are not working. In order to accomplish our objectives, we adopted several methodologies in obtaining data and information such as conducting surveys by providing questionnaires to our subjects, getting information in the internet and conducting interviews personally and honestly with our target subjects to get assurance that our data, information and values gathered were correct and accurate. Conceptual framework INPUT PROCESS OUTPUT Analysis of the input through 1. Distribution of questionnaires 2. Data gathering 3. Statistical treatment 4. Analyzing 5. interpreting | Determined Factors Affecting Academic Performance of Working Students of EARIST | Profile of the respondents: a....
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...THE QUANTITATIVE RESEARCH APPROACH Chapter 2 RESEARCH STEPS WITHIN THE QUANTITATIVE APPROACH • Step 1: Identify a Problem Area • Step 2 & 3: Review & Evaluate Literature • Step 4 & 5: Be aware of ethical & cultural issues • Step 6: State Research Question or hypothesis • Step 7 & 8: Select research approach & decide measures • Step 9 & 10: Select a Sample & Data Collection Method THE QUANTITATIVE APPROACH (Continued) • Step 11: Collect and Code the Data • Step 12: Data Analysis • Step 13 & 14: Write & Disseminate the report DEVELOPING THE RESEARCH QUESTION – Developing Concepts – Identifying Variables within Concepts – Putting Value Labels on Variables – Defining Independent and Dependent Variables – Constructing Hypotheses Developing Concepts • Giving a name to an idea that you want to study (e.g., ethnicity) Identifying Variables Within Concepts • Consider all the dimensions that make up the concept (e.g., race, culture, identity, societal grouping) • Selecting a dimension of the concept to be measured (e.g., ethnic group) • Operationalization: the process of naming and defining variables for your study Putting Labels on Variables • Labeling the “units” to be measured for the selected dimension (e.g., Ethnic groups may include: Asian, Caucasian, Hispanic, African American, Native American) Defining Independent and Dependent Variables • Bivariate Relationship: a research question that includes only two variables • a one-variable question is...
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...Scientific Method and Steps in Scientific Inquiry Paper Monique Reed BSHS/435 February 22, 2015 Dora Baker Scientific Method and Steps in Scientific Inquiry Paper In this paper in will provide details on how scientific methods can be used in the Human services. Explaining the steps of scientific methods, and how it serves as an important key to Human services professionals. Each steps will be included on how they are define and what purpose it serves will scientific methods are applied. Human services professionals use the scientific methods to gain information on the client as well as how to approach the clients issues. Also researching other resources to meet the needs of the client to ensure the client is receiving accurate help. Scientific Method Scientific method is a method that used to research and study that involves investigation and evaluation of present or future problems. Scientific method helps with produce the right answers to questions that cannot be answered with common sense alone. Researchers can use scientific methods to exploit all the facts, evidence, opinions, and records to find the right plan. As a Human service professional using scientific method can help with identifying the solution of the client’s problem and finding a resolution to ensure it will help to rebuild the client’s life. No matter field an individual is in when it concerns Human services, research will always be needed to ensure self-thoughts, bias, and ones on solution is not...
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...Analyzing the results of Usability Testing By Ben Homrig and Justin Stephenson For our presentation, we were assigned with analyzing the results of usability testing. Usability is defined as the process or technique used to interactively test and assess the user-interface of a product, method or set of instructions. Presenting and analyzing data are very important steps in process. The improvements developers and technical writers make with their data define exactly how the end product will be when completed. Understanding the differences in the types of data tabulated is vital to understanding how results are analyzed. In usability testing, there are two types of data – qualitative and quantitative. Quantitative research must measure the products in an objective, quantitative and statistically valid way. This type of data recorded must be hard evidence, free of context and exact. Qualitative data is collecting, analyzing and interpreting data by observing how people respond through their opinions and actions. Data is generally collected through gathering information from focus groups and in-depth interviews with users. Quantitative research is defined as objective, while qualitative is subjective. The differences between qualitative and quantitative data are very important in improving a product, method or set of instructions. In our case, we established our primary example as that of a tester documenting the experience a user has while trying out a new iPhone game application...
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...Although the FASB Disclosure Framework provides various advantages, there may be other relevant challenges placed on the financial reporting preparers. As stated in proposed ASUs on Topics 235 and 740, reporting entities need not disclose immaterial item. This adjustment to omit immaterial disclosure may result in a lower entity’s total reporting cost and it is beneficial to the public to see those relevant data. Additional costs, however, may also incur during the information materiality assessment process. That is, a reporting entity should consider and examine both qualitative and quantitative information when deciding information materiality (FASB 2015 and FASB 2016). Therefore, this assessment cost is unavoidable when identifying whether...
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...CHAPTER I INTRODUCTION This chapter deals with the foundation and general overview of the research undertaken. It consists of the background of the study, the research questions, the aims of the study, the significance of the study, the research method, the data source, the data collecting and analyzing techniques, the clarification of key terms and the organization of the paper. 1.1 Background Human language is human’s potential as a mean of intentional communication (Yule, 1996: 20). People use language to communicate with each other. Thus, the use of language plays a very important role in people’s communication. There are various languages in this world and those languages are used by people in different nations and ethnics. Different languages used by people in different places and communities are defined as language varieties (Hudson, as cited in Wardhaugh, 1992: 21). People not only need to communicate with other people in one nation or ethnic who use the same language, but they also need to communicate with other people in other nations or ethnics who use different languages. Understanding people’s languages in the language varieties is the way to make a good communication. Therefore, a good understanding is required by people whose languages are different, in order to make a successful communication. 1 There are many ways that can be used to understand different languages and one of them is translation. Translation is the process of rendering the meaning of a text...
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