Week 10

• Methodology - Contains processes and steps taken in gathering data and Contains context and participants, instrument used, data gathering procedure, data analysis
• Method - Techniques used to gather and generate data
• Research Design - Plan which structured the study
• Common Research Design - Phenomenological Research Basic Interpretative Qualitative Study Interpretative Phenomenological Analysis
• Locale - Place or environment were the study is being conducted
• Participants - Number / characteristics or description of participant involved
• Sampling for research - Selecting portion or segment from the population
• Population - Target Population - entire group of people / objects Accessible Population - portion of population which has a reasonable access
• Subjects - Individuals or entities which serves as focus of the study
• Respondents / Participants - Serve as sources of information during data collection
• Elements - Elements / elements may referred as elements Are objects, rather than people
• Types of Sampling - Probability Sampling Non-probability Sampling
• Probability Sampling - Also called "Scientific Sampling" All members of the entire population has a chance of being selected
• Non-probability Sampling - Also called "Non-scientific Sampling" Not all members of the entire population has a chance of being selected
• Subtypes of Probability Sampling - Simple Random Sampling Stratified Random Sampling Cluster Sampling Systematic Sampling
• Simple Random Sampling - All members of population has an equal chance of being selected
• Stratified Random Sampling - Population is first divided into strata (age, gender, educational qualifications)
• Cluster Sampling - Used in large-scale studies Population is geographically spread out
• Systematic Sampling - Method of selecting every nth element of population (fifth, ninth, eleventh)
• 3 Subtypes of Non-probability Sampling - Convenience Sampling Quota Sampling Purposive Sampling
• Convenience Sampling - Also called "Accidental" or "Incidental Sampling"
• Quota Sampling - Population divided into strata and sets specific proportion
• Purposive Sampling - Also called "Judgemental Sampling" Handpicking subjects to suit specific intentions
• Data Gathering - Presents the details on how the data were collected
• Data Analysis - Presents how the data are analyzed by coding scheme