Quantitative Research Flashcards
This type of research gathers data using structured instruments and is focused on numeric and unchanging data.
Quantitative Research
A type of quantitative design where subjects are measured once to establish associations between variables.
Descriptive Research
A quantitative design that measures subjects before and after a treatment to establish causality.
Experimental Research
This refers to the process of describing the procedures for gathering and analyzing the data.
Data Analysis
This outlines the tools and methods used to collect information and identify the variables.
Data Collection
This refers to the source of data, its robustness, and the selection procedures for participants.
Study Population and Sampling
This section of a study presents key findings using graphs, tables, or charts in a sequential, objective manner.
Results
A process of analyzing data trends using logical, sequential order, presented in past tense.
Statistical Analysis
This section interprets results, compares them with the research questions, and discusses implications.
Discussion
Explaining what the findings mean and how they contribute to understanding the research problem.
Discussion of Implications
This section identifies flaws, unavoidable issues, or weaknesses in the study.
Limitations
Final section of a research paper summarizing the topic and giving a final assessment.
Conclusion
A structured section that includes identifying the problem, reviewing literature, and describing the theoretical framework.
Introduction
A component of the introduction that provides an outline of the theory or hypothesis underpinning the study.
Theoretical Framework
The phase where you explain how you cleaned your dataset and what statistical procedure you used.
Data Treatment
Avoiding this is crucial in non-randomized studies unless further experimentation is done.
Inferring Causality
These are set in place to apply control, often resulting in “laboratory results” rather than “real world results.”
Artificial Research Environments
When preset answers influence participant responses or reflect researcher bias.
Preconceived Hypothesis Bias
This characteristic of quantitative research emphasizes objectivity and detailed reasoning.
Convergent Reasoning
A common limitation where preset options don’t fully reflect how respondents truly feel.
Response Bias in Preset Answers
