Data collection

Data collection

1. ways to collect it

   • TESTS
   • JOURNALS
   • QUESTIONNARIES
   • EXPERIMENTS
   • MEASURING EQUIPMENT
   • DIARIES

2. POPULATION

   • finite or infinite set of elements with common characteristics
     • Normally a small part of it is used, which is called a sample.

3. SAMPLE

   • It must be representative
   • Probability sampling: random selection of individuals from population or the fact every individual has the same probability to be chosen.
     • SIMPLE RANDOM
     • STRATIFIED
     • CLUSTER
     • SYSTEMATIC
   • nonprobability sampling: individuals are chosen by the researcher considering related causes and depending on the decision process of a person or group.
     • ACCIDENTAL/PSEUDO RANDOM
     • SNOWBALL
     • EMPIRICAL/QUOTA
     • INTENTIONALS
     • CASUAL

4. instrument

   • mechanism that helps researcher to collect and register data.
     • ELECT
     • CREATE

5. Measuring

   • is this process to link abstract concepts with empirical indicators, or going from theory to reality.

6. PROCEDURE

   • Define the way to collect data acc. to the context
     • Elaborate the instrument
       • Apply it.
         • Obtain data
           • Codify data
             • Archive and prepare ir for analysis

7. Techniques

   • Observations
     • Focus Groups
       • Literature Analysis
         • Intervews
           • Surveys