Research Flashcards
What types of random sample methods are there ?
Simple Systematic mixed methods/multi-stage stratify cluster
What types of non-random methods are there ?
Snowball Quota Self-selection Purposive Convenience
3 criteria to asses the quality of the research.
Usability
Validity
Reliability
3 types of research
evaluative
descriptive
explanatory
3 types of interviews
structure
unstructured
semi-structured
What should the introduction of a survey have ?
Introducing the researcher
Stating the objective of your research
If it is done confidentially
The time needed
Before choosing a design you need to consider the following topics
You need to choose a design which can give answer to your question.
The skills and knowledge of the researchers conducting the research project.
Available budget.
Available time
Paradigm
Research elements
List the 7 factors Verhoeven Stated to asses the quality of research
Independence Validity generalizability Reliability Falsifiability Informativity Practical criteria
Quantitative data collection methods.
Surveys Secondary analysis Experimental Design Monitoring Observation : counting heads
Qualitative Data collection methods
Qualitative desk research
observation
interview
case study
In the problem analysis phase you ?
Investigate the problem
Conduct the literature research
demarcate the problem
formulate the research question and objectives.
6W formula ?
What is the problem ? Whose problem is it ? When did the problem arise ? Why is it a problem ? Where is the problem located ? What is the cause of the problem ?
Features of a survey
They research a large group of people
They are done at one point in time (cross-sectional)
They research knowledge, attitudes and perceptions.
They ask descriptive and/or evaluative questions.
Interviews conducted by interviewers using structured questionnaires containing closed questions
They involve a large number of questions
The samples are drawn randomly
The data is analyzed quantitatively.
Secondary analysis disadvantages
You dont have any control over the data
You also have to find solutions for any errors that may have occurred during original data collection.
It may be that you have to adjust the central question in your secondary analysis in order to be able to use a particular data set.
Data has to be thoroughly processed before it can be used for further analysis
What is the difference between Meta-analysis and secondary analysis.
When you do secondary analysis, you analyse the data gathered by other researchers. But when you do meta-analysis, you collect complete databases before going on to compare them.