QUANTITATIVE RESEARCH Flashcards
Disadvantages of Quantitative Research
Superficiality, narrow focus, structural bias, lack of context
Quantitative research often uses unnatural settings like laboratories, or fails to consider historical and cultural context, that may affect, data collection and results.
Lack of context
Predetermined variables and measurement procedures can mean that you ignore other relevant observations
Narrow focus
Despite standardized procedures, structural biases can still affect quantitative research. Missing data imprecise measurements or inappropriate sampling methods are biases that can lead to the wrong conclusion.
Structural bias
Using precise and restrictive operational definitions may inadequately represent complex concept
Superficiality
Using formalized and establish hypothesis testing procedures means that you have to carefully consider and report your research, variables, predictions, data collection, and testing methods before coming to a conclusion
Hypothesis testing
Data from large samples can be processed and analyzed, using reliable and consistent procedures through quantitative data analysis
Large samples
This study can be reproduced in other cultural, setting times, or with different groups of participants. results can be compared to statistically
Direct comparison
Repeating the study is possible because of standardized data collection, protocols, and tangible definition of abstract concept
Replication
Advantages of quantitative research
Replication, direct comparison of results, large samples, hypothesis testing
Cause, influence, or affect outcome
Independent variable
Outcomes or results of the influence of the independent variables
Dependent variable
Stands between independent and dependent variable, and they meditate the affects of independent and dependent variable
Mediating variables
Independent variables that affect that direction, and or the strength of the relationship between independent and dependent variables
Moderating variables
Attributes of an individual or organization that can be measured or observed, and that varies among people or organization being studied
Variables (construct)