Quantitive Research: background - Research designs in the empirical-analytical tradition - The survey

12 important questions on Quantitive Research: background - Research designs in the empirical-analytical tradition - The survey

What is a survey?

A survey is an empirical research that relates to an overview of  multitude of objects and when the data are collected and processed statically in real situations.

What are the differenced between theoretical and oparational population and sampling frame?

Theoretical population; all units that could be investigated

Operational population; all units who could be investigated if you apply a limitation to them (e.g. 15-60 females).

Sample frame; drawn from the operational population. This is a list of items or people from the population of which a sample is taken.

What are the different types of sampling?

- Probability sampling; a sample of a larger population is chosen using randomness.
- simple sampling
- systematic sampling; systematic random
- stratified sampling; random within separated groups, called strata
- sub sample; a smaller proportion of an original is made
- cluster sampling; defining random clusters and then random sampling of clusters
- Multistage sampling; Taking samples in stages using smaller and smaller sampling units at each stage.

- Non-probability sampling; sample of a larger population is chosen based on the reseacher's subjective judgement.
- Quata sampling; individuals who are chosen out of a specific subgroup.
- purposive
- volunteer
- Haphazard
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How does the sample size influences reliability?

The larger the sample size, the chance my conclusions being a reliable indicator of the population increases as well.

Why is it a misunderstanding you must include a certain percentage of the population in order to be representative for the population?

It is not only the size, but also the homogeneity (characteristics) of the sample.

What are three ways you can decrease the chance of non-response?

- properly trained interviewers
- Do not give up
- In case of oral questionairre, send a short introduction letter to proof identity of the interviewer.

What is the difference between proportional and disproportional sampling?

Proportional sampling refers to drawing a sample within each stratum that is proportional to the proportion of the situation.

Disproportional sampling refers to drawing a sample within each stratum to ensure that smaller groups are also represented in the sample.

Two types of populations

1. Theoretica/ population: all units that could, in principle, be investigated.
2. Operational population: the selected segment(s) of the population that will be investigated
from the entire population. The operational population forms the basis from which the sample is drawn.

A systematic sample

a certain system is followed which approaches coincidence. For example: every 100th person on a list is questioned.

A non-probability sample is 'quota sampling':

a number of quotas are defined on the basis of a number of stratification criteria. So, for example, the researcher choses 3 respondents from age category x and 2 from age category y etc. Since this is not at random, a generalization to the population cannot be made.

Possibilities to minimise non-response

  • Provide good training for interviewers;
  • Do not give up immediately if the respondent refuses;
  • In the case of an oral survey, send a clear introductory letter beforehand and provide the interviewer with identification.

Time series analysis

is the collective name for a number of statistical techniques that try to discover trends and patterns in time series

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