Quantitative Research, Variables, Research Design, and Ethics

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Vocabulary flashcards covering quantitative research fundamentals, types of variables, comparative and experimental research designs, statistical tests, and principles of research ethics.

Last updated 6:34 AM on 9/28/26
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55 Terms

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Quantitative Research

A systematic investigation that collects and analyzes numerical data about a population or phenomenon to measure variables, test hypotheses, identify relationships or differences, and draw objective conclusions.

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Reliability

The degree to which research findings are replicable and consistent across studies.

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Generalizability

The applicability of research findings to the whole population from which the sample was drawn.

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Causal-Comparative Research (Ex Post Facto)

A comparative research design where compared groups already exist naturally, and researchers cannot manipulate or ethically assign the independent variable.

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Experimental Research

A research design where the researcher deliberately creates groups or conditions by introducing an intervention (manipulating the independent variable) and observing its effect.

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Variable

A characteristic, property, or factor studied in research that can take on different values or categories among individuals, objects, or situations.

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Univariate Study

A study that involves and analyzes only one variable.

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Bivariate Study

A study that examines two variables.

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Polyvariate Study

A study that involves more than two variables.

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Dichotomous Variable

A categorical variable that has exactly two categories.

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Polychotomous Variable

A categorical variable that has more than two categories.

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Nominal Variable

A categorical variable consisting of groups or categories that do not have an intrinsic hierarchy or order.

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Ordinal Variable

A categorical variable whose groups or categories have a set order or ranking, but where the distances between categories are not necessarily equal.

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Interval Variable

A numerical variable with ordered numerical values and equal intervals between values, but without a meaningful absolute zero.

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Ratio Variable

A numerical variable with ordered numerical values, equal intervals between values, and a meaningful absolute zero.

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Discrete Variable

A numerical variable whose values result from counting and consist of separate, countable values.

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Continuous Variable

A numerical variable whose values result from measurement and can take any value within a continuous range.

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Research Construct

An abstract concept or phenomenon that researchers seek to study but cannot observe or measure directly, often composed of multiple sub-variables or dimensions.

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Descriptive Research

A research design that seeks to describe the characteristics, status, or frequency of a particular phenomenon, situation, or group.

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Correlational Research

A research design that aims to determine the relationship between variables and its strength without manipulating any variables.

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Causal Research

A research design aimed at establishing a cause-and-effect relationship between variables using manipulation and controlled environments.

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True Experimental Design

An experimental research design characterized by three essential elements: manipulation of the independent variable, use of a control or comparison group, and randomization of participants.

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Pretest-Posttest Control Group Design

A true experimental design where two randomly assigned groups both have baseline data and posttest measured, with one group receiving treatment and the other serving as control.

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Posttest-Only Control Group Design

A true experimental design where two randomly assigned groups have only their posttest measured, with one group receiving treatment and the other serving as control.

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Solomon Four-Group Design

A true experimental design involving four randomly assigned groups (two with baseline pretest measurements and two without), where some receive treatment and all have posttests measured.

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Quasi-Experimental Design

An experimental design where groups are measured at baseline and posttest, with one group receiving an intervention, but participants are not randomly assigned.

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Non-equivalent Control Group Design

A quasi-experimental design featuring two non-randomly assigned groups that undergo both pretest and posttest measurements, with one group receiving intervention.

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Time-Series Design

A quasi-experimental design in which one group has its baseline data measured multiple times, receives an intervention, and is measured multiple times afterward to observe changes over time.

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Pre-Experimental Design

A weak research design that lacks both randomization and control groups.

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One-Shot Case Study

A pre-experimental design where one group receives an intervention and is measured only once afterward, with no baseline pretest or control group.

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One-Group Pretest-Posttest Design

A pre-experimental design where a single group is measured at baseline, subjected to an intervention, and measured again post-intervention.

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<p>Normal Distribution</p>

Normal Distribution

A symmetrical distribution where data are reasonably balanced around the center, with fewer observations appearing toward the extremes.

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Research Ethics

Guidelines for the proper conduct of research across planning, execution, and reporting phases to maintain integrity and protection of subjects.

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Replace (3Rs of Animal Ethics)

The obligation to find suitable non-human or non-animal alternatives whenever possible.

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Reduce (3Rs of Animal Ethics)

The obligation to minimize the number of non-human respondents used if no alternative options exist.

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Refine (3Rs of Animal Ethics)

The obligation to adjust procedures so that the minimum possible amount of pain and distress is inflicted on non-human respondents.

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Republic Act 8485

The Animal Welfare Act.

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Republic Act 10173

The Data Privacy Act.

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Voluntary Participation

The right of respondents to refuse to participate in research without coercion or force from researchers.

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Informed Consent

The requirement that participants must be provided an overview and fully informed about the research before agreeing to participate.

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Anonymity

The right of research respondents to keep their identities unknown throughout and after the study.

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Confidentiality

The ethical principle requiring that participant data and information be stored securely and kept safe.

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Scientific Misconduct

A deviation from universally accepted conduct in research resulting in scientific dishonesty.

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Data Fabrication

The act of inventing data without actual experimentation or altering recorded data to fit expected research outcomes.

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Falsification of Data

The practice of omitting non-conforming data, or manipulating data, equipment, or processes so research is not accurately represented in records.

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Plagiarism

Claiming another person's ideas, work, or publication as one's own; a form of intellectual property theft and dishonesty.

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Clone Plagiarism

Submitting another person's work, word-for-word, as one's own.

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Copy and Paste Plagiarism

Writing a study that contains significant portions of text copied directly from a single source without citations.

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Find-Replace Plagiarism

Changing key words and phrases from a source while retaining the essential original content without proper attribution.

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Remix Plagiarism

Paraphrasing from multiple sources and combining the content to fit together seamlessly without citation.

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Recycle Plagiarism

Self-plagiarism; borrowing generously from one's own previous work without providing citations.

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Hybrid Plagiarism

Combining perfectly-cited sources with uncredited copied passages in the same work.

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Mash-Up Plagiarism

Mixing copied word-for-word material from several different sources without proper citation.

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404 Error Plagiarism

Including nonexistent citations or inaccurate source details while presenting work that contains almost no original content.

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Aggregator Plagiarism

Including proper citations throughout a paper that contains almost no original work.