Quantitative Research Comprehensive Review

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Flashcards covering the characteristics, strengths, weaknesses, types of research, variables, and applications of quantitative research based on class lecture notes.

Last updated 10:27 AM on 7/5/26
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20 Terms

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Quantitative Approach

Objective, structured, and standardized approach used to measure variables, test hypotheses, and generalize results.

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Qualitative Approach

Subjective, flexible, and exploratory approach used to explore meanings, experiences, and gain a deeper understanding.

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Objective (Quantitative Characteristic)

Free from personal bias (actual).

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Structured (Quantitative)

Uses surveys, tests, and questionnaires.

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Statistical (Quantitative)

Analyzes data using statistics, graphs, tables, and percentages.

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Generalizable

Findings that may represent a larger population.

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Descriptive Research

A non-experimental type of quantitative research focused on the "WHAT" of the subject matter, aiming to describe the status of a variable or phenomenon.

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Correlational Research

A type of quantitative research that examines the relationship between two or more variables without manipulating them.

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Experimental Research

The most rigorous type of quantitative research because it tests cause-and-effect relationships by manipulating variables under controlled conditions with random assignment.

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Quasi-experimental Research

A type of quantitative research that examines cause-and-effect relationships but works with existing groups or conditions without full random assignment.

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Research Variable

Any characteristic, trait, or property that can change or vary in a study and can be measured or counted.

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Independent Variable (IV)

The factor manipulated or believed to influence another variable; the cause.

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Dependent Variable (DV)

The outcome or result affected by the independent variable; the effect that is measured.

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Controlled Variable (CV)

Factors that are kept the same throughout the study so they do not affect the results.

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Extraneous Variable (EV)

Unwanted variables that are not the focus of the study but may influence the dependent variable if they are not controlled.

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Quantitative Research in Education

Uses numerical data and statistical methods to measure, compare, and evaluate teaching practices, student performance, and school policies.

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Quantitative Research in Medicine

The foundation of evidence-based healthcare that uses numbers, measurements, and statistics to evaluate treatments and track diseases.

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Quantitative Research in Engineering

The application of numbers, measurements, and statistical analysis to solve problems, design systems, and ensure innovations are safe and reliable.

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Quantitative Research in Business

Using numbers, data, and statistics to make smarter decisions, reduce risks, and maximize profits.

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Conceptual Framework

The "blueprint" of research that visually and logically shows how variables are connected and guides the study design.