Data Collection Tool Aggregate Objective of this paper is to design the data collection tool to be used for the aggregate population. The study uses both survey and semi-structure interview as the data collection tools. The survey is used to collect demographic background of the participants while the study uses the semi-structured interview to collect the health issues of participants. Data Collection Technique Used This study uses the mixed method as data

data collection tool that can be used with your aggregate population. Make sure the tool contains the following: • Demographics -- name, birth date, ethnicity, sex, education level, and so forth • The questions that you came up with in Part One and any others that you feel would apply • Two additional questions that would be consistent with the goals of Healthy People 2020 • Data from reliable sources that answers each

This reduces response bias for better reliability of the information gathered and a higher anticipated response rate for an adequate sample size. A one month time frame gives better assurance of an appropriate response rate adequate analysis of results. Research Questions Patient wait time: How long did you wait before being register? < 5 min, 5 min, 10 min, longer How long did you wait to be called after being registered? <

E-Groceries Primary Data Collection Secondary Data Collection Performance evaluation of the optimized supply chains McLane e-grocery Carrefour Ooshop e-grocery Logistics Optimization Structural decisions items of operations strategy in logistics Hardware of the firm Operational Facilities Operational Capacity Process technology Supply Network Infrastructure decision areas Software of the organization Planning and control Quality Organizational Structure Comparison of structural and infrastructural logistical operations management decisions Horizons Capital Investment Globalization and Logistics Optimization Logistical optimization models Challenges in e-grocery Logistics E-grocery logistical solution Store-based order picking model Figure: Store-based order picking model Store-based order picking for attended goods reception Store-based

Program Evaluation Integrate data collection methods into the program evaluation plan. The data collection method is seeking to integrate qualitative and quantitative research together. It is developing a program that is effective in helping to support smoking cessation efforts. Qualitative research is used to provide background on the study and proven smoking cessation initiatives. For instance, this portion of the research revealed that any effective program will integrate therapy, support groups and

Data Warehousing: A Strategic Weapon of an Organization. Within Chapter One, an introduction to the study will be provided. Initially, the overall aims of the research proposal will be discussed. This will be followed by a presentation of the overall objectives of the study will be delineated. After this, the significance of the research will be discussed, including a justification and rationale for the investigation. The aims of the study are to