Functions under a positivist/post-positivist paradigm
Quantitative Research
Usually confirmatory
Quantitative Research
Prioritizes breadth over depth
Quantitative Research
Has a definite hypothesis
Quantitative Research
Is unbiased, and has a relatively large sample of participants
Quantitative Research
Has objective measures
Quantitative Research
Its results are presented as statistical inferences
Quantitative Research
Participants were made to answer based on pre-determined reasons
Top-down approach
Types of Experiments
True Experiment
Quasi-experiment
Non-experiment
Refers to the manipulation of independent variable/s and random assignment of participants
True Experiment
Refers to the manipulation of independent variable/s, but participants are assigned based on pre-existing characteristics or conditions (age, gender..)
Quasi-experiment
Refers to no manipulation, No random assignment of participants
Non-experiment
Types of Quantitative Research Design (Experiments)
Factorial Design
Pretest-posttest design
Time series design
Single-subject design
Characterized by having two or more independent variables
Factorial Design
The dependent variable is measured before and after administration of treatment.
Pretest-posttest design
The dependent variable is measured at multiple time points before and after administration of a treatment.
Time series design
It focuses only one a small number, or even one participant, due to ethicality, feasibility, or purpose.
Single-subject design
Types of Quantitative Research Design (Non-experiments)
Correlational design
Comparative design
Survey design
Instrument validation
Meta-analysis
Secondary Analysis
The examination of the association between two or more variables
Correlational design
The comparison of two or more groups based on particular variables
Comparative design
It is the description of the trends for select variables
Survey design
It is testing psychometric properties of an instrument designed to measure specific variables
Instrument Validation
Analysis of data from published studies
Meta-analysis
Analysis of data from a large dataset that was perviously collected
Secondary analysis