The best strategy to address research problem effectively & efficiently.
Blueprint for data measurement, collection, & analysis.
A set of procedures to collect & analyze measures of the variables specified in the research problem.
Overall strategy to integrate different components of study in a coherent (clear, consistent) & logical way, thereby, ensuring to address research problem effectively.
Achieve ROs, answer RQs, solve problem
A procedural outline for every research activity
A guide for selecting sources & types of information
A framework to specify relationships among variables
Looking at the relationships between variables.
Types: Descriptive, predictive, explanatory
Manipulating treatment to show causation.
Types: True experimental, Quasi experimental, pre-experimental
What is the primary objective of the research?
Describe attributes, behaviors, or phenomena.
Use relationship between attributes or variables to make prediction.
Test theories about how & why attributes/variables are related.
Data is defined as facts or figures pertinent to the problem
A method of investigation by using a list of questions to collect primary data from selected respondents about how they think & act.
Structured Survey
Use formal lists of questions to ask respondents in the same way.
Unstructured Survey
Let the interviewer probes respondents & guide the interview according to their answers.
High representativeness
Able to collect large amount of data with low costs
Convenient data gathering
Good statistical significance
Little or no observer subjectivity
Precise results
Less flexible, method of data collections cannot be changed throughout the process of data gathering.
Response rate is often very low.
Not ideal for controversial issues
Researcher has no control over who answers.