Chapter 10

Question 1

Population

Answer 1

All the elements that you want to make statements about.

Question 2

Operational population

Answer 2

Demarcated section of the population based on a particular attribute.
The complete group of individuals with a common characteristic.

Question 3

Sample sizes

Answer 3

A segment of the population that you may or may not have selected randomly, and that may be asked to participate in your research.

Question 4

Sample

Answer 4

A portion, which may or may not be selected randomly, of the population that is given the opportunity to take part in the research.

Question 5

Rules of drawing sample

Answer 5

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.

Question 6

Random

Answer 6

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.

Question 7

Non-probability

Answer 7

Not random. You doint know who your population is. You deliberately invite certain people. Experts for example. There is no sampling frame.

Question 8

Sampling frame

Answer 8

Database from which you can draw a random sample.

Question 9

Random number generator

Answer 9

Instrument for generating random numbers from a series.

Question 10

Random sampling

Answer 10

Random sampling in which each unit has an equal chance of ending up in the sample.

Question 11

Simple random sampling

Answer 11

Random sample from a database of the whole population.

Question 12

Systematic sampling with a random starting point

Answer 12

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.

Question 13

Cluster sampling

Answer 13

Random sampling whereby several whole groups are drawn from the existing population.

Question 14

Stratified sampling

Answer 14

Random sample drawn from several strata.

Question 15

Multi-staged sampling

Answer 15

Various sampling methods whereby the sample is drawn from different layers of the population.

Question 16

Statistical generalizability

Answer 16

The degree to which the result can be extrapolated to the entire population. Must be representative.

Question 17

Theoretical generalizability

Answer 17

The degree to which your result can be applied in similar situations or groups.

Question 18

Respondents

Answer 18

People who take part in a survey or interview, and complete the questionnaire.

Question 19

Test subjects

Answer 19

Participant that take part in another research. Experiments.

Question 20

Ways to draw random samples

Answer 20

Everyone in the population has a calculated change of being selected.

Question 21

Non-probability sampling

Answer 21

Non-random sampling.

Question 22

Quota sampling

Answer 22

Sampling method that involves selecting a maximum number of units with a specific characteristic.

Question 23

Self-selection

Answer 23

Sampling method whereby people and test subjects sign up for a study themselves.

Question 24

Purposive sampling

Answer 24

Sample chosen on the basis of specific attributes, normally to do with expertise.

Question 25

Convenience sampling

Answer 25

Sample in which everybody that is part of the research setting can be used.

Question 26

Snowball sampling

Answer 26

Sampling method that uses networks: the one contact then puts forward the next contact and so on.