W9 Flashcards
Data collected in quantitative research
physiological measurement, observation, interviews, questionnaires, records or other documents
Secondary data in research
Exisiting data, second hand information, eg - census data, personal records, clinical records
quantitative data processings involves
editing data, coding data and analysing data
Levels of measurement
Variable statistics must be measurable (number form). Guides you to statistical analysis you can perform on each variable
What are the four levels of measurements
Nominal - variables divided into two or more categories and assigned arbitrary numbers
Ordinal - reflects a rand order among categories
Interval - Made up of real numbers that allow us to order and know distance between those
Ratio- same properties as interval data, except the measurement scale possesses a meaningful zero. If zero is reached on the scale the variable is absent (0 - no weight or height)
2 types of statistical analysis
- Descriptive - desire or summary information obtained from study
- Inferential - Sample report to draw conclusions regarding the relevant population
Questionnaire design 6 steps
- What information is needed
- Sample
- develop questionnaire
- Plan distribution, return and follow up
- Pilot test
- revise and revise
Type of questions
Open and closed ended questions
Behavioural questions
Belief questions
Attitude questions
Knowledge questions
Attribute questions