Chapter 10 Flashcards
Population
All the elements that you want to make statements about.
Operational population
Demarcated section of the population based on a particular attribute.
The complete group of individuals with a common characteristic.
Sample sizes
A segment of the population that you may or may not have selected randomly, and that may be asked to participate in your research.
Sample
A portion, which may or may not be selected randomly, of the population that is given the opportunity to take part in the research.
Rules of drawing sample
These rules have consequences for how you handle the processing and the result and the reach of your results. The way you select your sample depends on whether you have gone for a qualitative or quantitative research design, as well as on your choice of data collection method.
Random
Each element should have an equal chance of being apart of the sample. 20 employees are chose from the 200, by selecting the 10th of the list. You can verify quantitatively whether the correlations between characteristics (variables) that you have found are valid for the whole population.
Non-probability
Not random. You doint know who your population is. You deliberately invite certain people. Experts for example. There is no sampling frame.
Sampling frame
Database from which you can draw a random sample.
Random number generator
Instrument for generating random numbers from a series.
Random sampling
Random sampling in which each unit has an equal chance of ending up in the sample.
Simple random sampling
Random sample from a database of the whole population.
Systematic sampling with a random starting point
A sampling method that involves drawing the sample systematically from the sample randomly from the population by choosing every nth unit from a random starting point.
Cluster sampling
Random sampling whereby several whole groups are drawn from the existing population.
Stratified sampling
Random sample drawn from several strata.
Multi-staged sampling
Various sampling methods whereby the sample is drawn from different layers of the population.
Statistical generalizability
The degree to which the result can be extrapolated to the entire population. Must be representative.
Theoretical generalizability
The degree to which your result can be applied in similar situations or groups.
Respondents
People who take part in a survey or interview, and complete the questionnaire.
Test subjects
Participant that take part in another research. Experiments.
Ways to draw random samples
Everyone in the population has a calculated change of being selected.
Non-probability sampling
Non-random sampling.
Quota sampling
Sampling method that involves selecting a maximum number of units with a specific characteristic.
Self-selection
Sampling method whereby people and test subjects sign up for a study themselves.
Purposive sampling
Sample chosen on the basis of specific attributes, normally to do with expertise.
Convenience sampling
Sample in which everybody that is part of the research setting can be used.
Snowball sampling
Sampling method that uses networks: the one contact then puts forward the next contact and so on.
