IIIs midterms reviewer

• Qualitative data analysis - a process of gathering, structuring and interpreting qualitative data to understand what it represents.
• Qualitative data - a type of data that is non-numerical and unstructured.
• Qualitative Data Analysis Methods:

  1. Grounded theory analysis
  2. Narrative analysis
  3. Discourse analysis
  4. Thematic analysis
• Thematic Analysis - used to deduce the meaning behind the words people use. This is accomplished by discovering repeating themes in text.
• The outcome of thematic analysis is a code frame that captures themes in terms of codes, also called categories.
• The process of thematic analysis is also referred to as "coding"
• Conducting Thematic Analysis

  1. Gather the data from the research participants or informants.
  2. Transcription (Transcribe)
  3. Understand the data.
  4. Development of initial coding.
• Transcription - transforming verbal data collected through interviews, focus groups, or field observations into a written format.
• The first step in "development of initial coding," you can highlight the answers of your participants first, and after that, proceed in making codes by using alternative words or shortening the phrase of the original answer of your informant.

  
• After making codes, you can now construct themes based on the initial coding.

  
• If a sample is representative of a population, important conclusions about the population can be inferred from the analysis of the sample.
• The phase of statistics under which this condition occurs in making an inference is called inferential statistics or inductive statistics.
• The phase of statistics that seeks only to describe and analyze a given group without drawing any conclusion or inference about a larger group is called descriptive statistics.
• What is STATISTICS?

  Statistics is derived from the Latin word status meaning"state". (Triola, 1998)Statistics is concerned with scientific methods for collecting, organizing, summarizing, presenting, analyzing, interpreting data and drawing conclusions based on thatdata. (Schaum, 2008)
• Mean


  The average of a data set
• Median


  The middle value of a data set that splits it into two equally sized groups
• Mode


  The value in a data set that occurs most often
• Calculating the Mean

  1. Add up all the numbers in the data set

  2. Divide the total by the number of data points
• To find the Median, the data set must be arranged in order from least to greatest
• If a data set has an even number of members, the Median is the average of the two middle numbers
• Finding Mean, Median and Mode for a real-world example

  1. Calculate the total number of guitars sold in a year

  2. Divide the total by 12 months to get the Mean

  3. Arrange the monthly sales in order to find the Median

  4. Identify the value that occurs most often to get the Mode
• Construction of themes based on coding example:

  
• 3 WAYS OF PRESENTING A SUMMARY OF DATA

  1. Textual Presentation - data is simply mentioned as mere text.
  2. Tabular Presentation - data is organized using rows and columns.
  3. Graphical Presentation - data is visually represented using charts, graphs, or diagrams.
• Types of Graphical Presentation:

  1. Line graph
  2. Bar graph
  3. Pie chart