4.3 : UNDERSTANDING WAYS TO COLLECT DATA

• METHOD


  • A systematic procedure, technique
  • A systematic plan
  • A process of doing something
• Types of Research Design

  • DESCRIPTIVE
  • CORRELATIONAL
  • EX POST FACTO
  • QUASI-EXPERIMENTAL
  • EXPERIMENTAL
  • CASE STUDY
  • PHENOMENOLOGY
  • ETHNOGRAPHY
  • MIXED METHODS
  • GROUNDED THEORY
• CORRELATIONAL


  Used to establish an association between variables
• CASE STUDY


  Used in extensively exploring and understanding rather than confirming and quantifying
• ETHNOGRAPHY


  Used to determine scientific description of groups or ethnicity
• Sampling


  Selecting the group that you will actually collect data from in your research
• Data Gathering


  The process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes
• Statistical Analysis


  The process of collecting large volumes of data and then using statistics and other data analysis techniques to identify trends, patterns, and insights
• ORDINAL SCALE


  This data is arranged in some orders, but the difference of the data values cannot be determined.
• INTERVAL SCALE


  The data is showing equal intervals or differences.
• RATIO SCALE


  It is a scale where there is the same numerical distance between each score.
• Predictive Analysis


  It is used to define the likelihood of future outcomes. behaviours and trends based on recent and prior data via implementing approaches like statistical techniques and machine learning.
• Prescriptive Analysis


  It is the systematic study that examines the data to get a response of "what should be done" and assist in finding the optimal suggestion in decision-making process.
• Exploratory Data Analysis


  It renders a preview of data and assists in getting some key insights into it as it fully focuses on analyzing patterns in the data to recognize potential relationships.
• Mechanistic Analysis


  It is used to understand the exact changes in the given variable that can make changes in other variables while having the assumption that a whole system is affected by its own internal elements.