Dealing with Data: Using NVivo in the Qualitative Data Analysis Process The decision to use computer software programs for qualitative data analysis is essentially up to the person analyzing the data. There are positives and negatives when using these software programs to analyze data. A researcher in London wanted to find out if using the software package NVivo would be helpful in her data analysis process. The purpose of the study was to consider the difficulties surrounding interrogation
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STATISTICAL APPLICATIONS Hsiao Chun Teng HCS/438 July 15‚ 2013 Stephen Young STATISTICAL APPLICATIONS The pie chart shows percentage among adults with diagnosed diabetes receiving treatment of insulin or oral medication. It is normally used to present the data. I believe that this was a proper graph used to present the data. The information is clear. The data was presented in a good visual that I could recognize the patterns and trends. The colors used to differentiate type of treatment
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Page 1 A Review of Descriptive Data Analysis Descriptive Data Analysis for Nominal Variables: Gender and Local Political Party Activism Organize the Data into a Frequency Distribution Display the Data in a Graph Describe What Is Average or Typical of a Distribution Describe Variability Within a Distribution Describe the Relationship Between Two Variables Descriptive Data Analysis for Ordinal Variables: Continuing Our Research Example Organize the Data into a Frequency Distribution
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HL7 eLearning Course Module 2: Data Exchange Standards Learning Objectives: 1. The reader should understand how HL7 messages are transmitted in real time application interfaces. 2. The reader should understand what are Lower Level Protocol (LLP) when discussing the transmission of the HL7 Messages. 1 HL7 eLearning Course Data Exchange Standards • Lower Layer Protocol (LLP) is the most common mechanism for sending unencrypted HL7 message over a local area network‚ such as those found in
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Using ArrayList<ITSystem>‚ Reading and writing Data to/from Files Note: slight changes were made on 11/14 (1 day after this was put up). Specifically‚ the source files are slightly different from the solution to p2. When comparing two ITSystems we are now only concerned with ID. Highlighted text reflects changes made to the assignment. For this assignment‚ we will continue to work with the SysInventory program we developed in the last programming project‚ with a few minor changes/additions. See
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HW#3 Run regression analysis using the Energy Drinks Data posted on elearning. You can work by yourself‚ or work in a group (up to 5 students per group) and submit one homework per group. 1. (a) Run the linear regression model that express quantity sales (oz) of Full-Throttle as the dependent variable; the list of explanatory variables are price of Full-Throttle‚ the price of Monster‚ price of Red Bull‚ price of Rockstar and customer count. Submit the excel output. What is the R2 value? What
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Analyzing Data Using Pivot Tables – An Example Remember assignment 5 where you were asked to compare Invoice amounts to Sales Order amounts? You had to create a query to join together 2 tables from an Access database. If the results of that query had been downloaded into an Excel file (a simple thing to do)‚ you could have used the Excel file and a Pivot table to help in the analysis. Before you try to follow this example‚ you should learn as much as you can about Pivot Tables from Microsoft’s
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Questionnaire design and analysing the data using SPSS Questionnaire design. page 1 For each decision you make when designing a questionnaire there is likely to be a list of points for and against just as there is for deciding on a questionnaire as the data gathering vehicle in the first place. Before designing the questionnaire the initial driver for its design has to be the research question‚ what are you trying to find out. After that is established you can address the issues of how best
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Elementary Concepts in Statistics Overview of Elementary Concepts in Statistics. In this introduction‚ we will briefly discuss those elementary statistical concepts that provide the necessary foundations for more specialized expertise in any area of statistical data analysis. The selected topics illustrate the basic assumptions of most statistical methods and/or have been demonstrated in research to be necessary components of one’s general understanding of the "quantitative nature" of reality
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DESCRIPTIVE DATA MINING ON FRAUDULENT ONLINE DATING PROFILES Pan‚ Jinjian A.‚ The University of New South Wales‚ School of Information Systems Technology and Management‚ Sydney‚ NSW 2052‚ jinjian.pan@cba.com.au Winchester‚ Donald‚ The University of New South Wales‚ School of Information Systems Technology and Management‚ Sydney‚ NSW 2052 d.winchester@unsw.edu.au Land‚ Lesley‚ The University of New South Wales‚ School of Information Systems Technology and Management‚ Sydney‚ NSW 2052‚ l.land@unsw
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