Data Gathering

• Data Gathering


  It uses population
• Population


  The entire collection of people, animals, object, procedure, Measurements, and events that fit in the purpose of your study
• Sample


  A part or portion of the population
• Probability sampling


  All members of the population have equal chances of being choses as part of the sample
• Random sampling


  Members of your sample are selected through lottery
• Systemic sampling


  Members of your population are written in a list systematically with corresponding numbers
• Stratified sampling


  Members of your population are grouped you can choose equal number of respondent in each group
• Cluster sampling


  Members of your population are grouped, selecetion of all respondents are in groups
• Non probability Sampling


  All members of the population do not have equal chances of being chlses as part of the sample
• Conviniece sampling


  Samples are selected because of their immidiate availability
• Purpose sampling


  Samples are determined by the researchers based on the purpose of the study
• Quota sampling


  Samples are selected to achieve the needed number of participants in the study
• Snowball sampling


  Samples are selected based on the recommendation of other members in the sample
• Direct method


  Includes observation and interview where you get the information firsthand
• Indirect method


  Includes ways in which you can obtain the needed data without your actual presence
• Qualitative data


  Categories that show classification of attributes
• Quantitative data


  Numbers or values that represents count measure
• Quantitative data types


  • Discrete data
  • Continous data
• Nominal data


  Data that are categorial, e.g. Gender, Nationality, Civil status
• Ordinal data


  Data that are in ordered or ranked categories, e.g. Rating, Ranking
• Interval data


  Data that have no real zero, e.g. Temperature
• Ratio data


  Data that have real zero, e.g. Weight