Classificatie verschillende soorten onderzoek op basis
van
1) Purpose
Basic/fundamental:
Parctical and applied:
2) Depth of Scope
Descriptive studies
= based on descriptive statistics
1. Exploration
2. Description
- Describe situations, events, phenomena…
- Better understanding
- Without association or causality
organizing and summarizing data: graphs, charts, tables, summaries, mean, std… to
describe characteristics of a population sample
Explanatory studies
= based on inferential statistics
- Explanation
- Prediction and control (correlational)
effective data interpretation: establish relationships, association, causality… between
collected data, different variables in a population sample
explanatory studies, prediction and control
- which variables are predictive of other variables/outcomes
- determine causality (e.g., one event causes another to happen)
- Active intervention to change one of the variables/outcomes = Control
- Random selection of participants
But inclusion/exclusion criteria (randomized control trials)
- Random assignment to intervention or control
3) Type of Data Used
Qualitative
Quantitative
4) Degree of Manipulation of Variables
Experimental Research
- Random selection of participants
- Random assignment to the intervention or control group
- Evidence is considered stronger
Non-Experimental Research (or observational study)
Quasi-Experimental Research
- Selection of participants is NOT random
- Assignment to the intervention or control group is NOT random
- Evidence is considered weaker
1
van
1) Purpose
Basic/fundamental:
Parctical and applied:
2) Depth of Scope
Descriptive studies
= based on descriptive statistics
1. Exploration
2. Description
- Describe situations, events, phenomena…
- Better understanding
- Without association or causality
organizing and summarizing data: graphs, charts, tables, summaries, mean, std… to
describe characteristics of a population sample
Explanatory studies
= based on inferential statistics
- Explanation
- Prediction and control (correlational)
effective data interpretation: establish relationships, association, causality… between
collected data, different variables in a population sample
explanatory studies, prediction and control
- which variables are predictive of other variables/outcomes
- determine causality (e.g., one event causes another to happen)
- Active intervention to change one of the variables/outcomes = Control
- Random selection of participants
But inclusion/exclusion criteria (randomized control trials)
- Random assignment to intervention or control
3) Type of Data Used
Qualitative
Quantitative
4) Degree of Manipulation of Variables
Experimental Research
- Random selection of participants
- Random assignment to the intervention or control group
- Evidence is considered stronger
Non-Experimental Research (or observational study)
Quasi-Experimental Research
- Selection of participants is NOT random
- Assignment to the intervention or control group is NOT random
- Evidence is considered weaker
1