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)
Identify a behavior or occurrence of interest and monitor it in its natural setting
Systematic observation
Collecting data that has been gathered for other purposes, example of national surveys or historical records
Secondary research
Control or manipulate an independent variable, to measure its effect on a dependent variable 
Experiment
Ask questions of a group of people in-person, over-the-online phone or online
Survey
To collect quantitative data, you will often need do use ______, that translate abstract concepts into observable and quantifiable measures
Operational definitions
Quantitative research methods
Descriptive research, correlational research, experimental research
These research can be both be used to formally test hypothesis or prediction using statistics the result, maybe generalized broader populations, base of the sampling method used
Correlational and experimental research
Systematically examine whether there is a cause-and-effect relationship between variables
Experimental research
You simply seek, and overall a summary of your study variables
Descriptive research
Investigate relationship between your study variables
Correlational research
Is the process of collecting and analyzing numerical data. It can be used to find patterns and averages making predictions, test causal relationships, and generalize results to a wider population..
Quantitative research
The research process cycle
Reporting and evaluating research, identifying a research problem , reviewing the literature , specifying a purpose for research, collecting data, analyzing and interpreting data
- deciding on audience
- structuring the report
- writing the report sensitively
Reporting and evaluating research
- specifying a problem
- justifying it
- suggesting the need to study it for audiences
Identifying the research problem
- locating resources
- selecting resources
- summarizing resources
Reviewing the literature
- identifying the purpose statement
- narrowing the purpose statement, the research questions or hypothesis
Specifying a purpose for research
- selecting individuals to study
- obtaining permission
- gathering information
Collecting data
- breaking down the data
- representing the data
- explaining the data
Analyzing and interpreting data
Common mistakes when identifying new research questions
Non originality, non feasibility, too broadly defined research questions, not well justified
Development of research idea
Research topic, research problem, research purpose, research question
The broad subject matter area to be investigated
Research topic
The educational issue or problem within a broad topic area
Research problem
A statement of the intent or objective of the study
Research purpose
I’m in derogative sentence that asks a question about ….
Research questions
