Unit 3: Qualitative & Quantitative Research Flashcards

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A set of vocabulary flashcards covering the core concepts, differences, and specific terminology of qualitative and quantitative research methods as discussed in Unit 3.

Last updated 7:56 PM on 6/12/26
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18 Terms

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Quantitative Research

A research approach that uses numbers, statistics, and measurement to test hypotheses/theories in a structured and objective manner with large samples.

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Qualitative Research

A research approach that uses words, experiences, and meanings to understand perspectives and explore why/how questions in a flexible and subjective manner with smaller samples.

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Mixed Methods Research

An approach that combines quantitative and qualitative methods to provide a more complete understanding, utilizing both numbers and experiences.

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Positivism

The philosophical paradigm linked to quantitative research that focuses on measurement, testing, and finding patterns.

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Interpretivism / Constructivism

The philosophical paradigm linked to qualitative research that focuses on meaning, experience, and understanding individual perspectives.

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Quantitative Ontology (Reality)

The belief that there is one reality or one truth that exists.

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Qualitative Ontology (Reality)

The belief that multiple realities or multiple truths exist.

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Cross-sectional design

A quantitative study design where data is collected at one point in time, as used by Hoben et al. (2017) to compare healthcare workers.

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Phenomenological approach

A qualitative approach focusing on lived experience, such as Tembo & Parker (2017) exploring ICU survivors' delusional memories.

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Paradigm Conflict

A challenge in mixed methods research where the 'one truth' of quantitative research and the 'multiple truths' of qualitative research clash.

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Hypothesis

A testable prediction about a relationship between variables, primarily used in quantitative research.

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Phenomena

Something that is observed or experienced as a focus of research, such as patient pain, anxiety, or recovery experiences.

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Statistical Data

Numerical data that can be measured and analyzed, including percentages, averages, and scores.

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Textual Data

Non-numerical data consisting of words, including interview responses, descriptions, and narratives.

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Themes

Common patterns or ideas found in qualitative data during analysis, such as 'fear,' 'lack of support,' or 'coping.'

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Variables

Factors or elements that can change or vary, studied to understand relationships between concepts.

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Independent Variable

The variable that is changed or controlled in an experiment to act as the 'cause.'

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Dependent Variable

The variable that is measured or affected in an experiment, representing the 'effect.'