Practical Research 2 – The Nature of Quantitative Research

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These flashcards cover definitions, characteristics, strengths, weaknesses, types, variables, and methodological principles of quantitative research for Practical Research 2, Module 1.

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28 Terms

1
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What is the primary goal of quantitative research?

To determine relationships between variables by collecting and analyzing numerical data.

2
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What type of data does quantitative research emphasize?

Objective, numerical data that can be statistically analyzed.

3
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Name the two principal quantitative research designs and what each one establishes.

Descriptive design (establishes associations) and Experimental design (establishes causality).

4
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In an experimental design, which two variables are examined for cause-and-effect?

The independent variable (manipulated) and the dependent variable (measured outcome).

5
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What is the usual structure of a quantitative research report?

Introduction, Literature Review & Theory, Methods, Results, Discussion.

6
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Give three common instruments used to collect quantitative data.

Questionnaires, surveys/polls, and experiments (including computer-based tools).

7
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Why can quantitative studies generally be replicated?

Because they use structured instruments and standardized procedures that can be repeated with other samples.

8
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How are quantitative results typically displayed?

Using numbers, statistics, tables, charts, or figures.

9
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State two major strengths of the quantitative survey approach.

It can be administered and evaluated quickly, and its numerical data allow easy comparison across groups or organizations.

10
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Define basic research in the quantitative context.

Research aimed at clarifying underlying processes and testing theory without immediate practical application.

11
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Define applied research.

Research focused on examining the effectiveness of specific practices or interventions in real-world settings.

12
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What makes experimental research the most conclusive scientific method?

The researcher actively manipulates treatments and directly observes their effects, enabling clear interpretation of causality.

13
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Provide an example question suited for correlational research.

“Is there a relationship between students’ academic performance and the availability of ICT at home?”

14
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What is the main purpose of causal-comparative research?

To identify possible causes or consequences of existing differences between groups without manipulating variables.

15
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How does survey research obtain information about a population?

By asking a large group the same set of questions via questionnaires or interviews, then tabulating the responses.

16
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Define a variable in research.

A concept or characteristic that can vary among individuals or objects, such as age, eye color, or motivation.

17
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Differentiate quantitative and categorical variables.

Quantitative variables vary in degree and are measured numerically (e.g., height, weight); categorical variables differ by type or quality (e.g., gender, eye color).

18
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What is an independent variable?

A variable selected by the researcher to examine its potential effect on another variable.

19
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What is a dependent variable?

The variable presumed to be influenced or affected by the independent variable.

20
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Why must quantitative researchers frame a specific research question?

To ensure the study remains focused and its objectives can be addressed through measurable data.

21
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What is the purpose of reviewing literature in quantitative research?

To ground the study in existing knowledge, refine hypotheses, and ensure the research builds on or tests established theory.

22
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Why are statistical tests essential in quantitative studies?

They detect, confirm, and quantify tendencies, relationships, or differences within the data.

23
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Which two broad sampling approaches are acceptable in quantitative research?

Probability sampling and non-probability sampling.

24
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Does quantitative research generally follow an inductive or deductive approach?

Deductive—it tests hypotheses derived from existing theory.

25
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How does numerical data facilitate comparisons between groups?

It provides standardized metrics that can be directly contrasted, revealing levels of agreement or differences quickly.

26
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Why must all procedures be carefully designed before data collection in quantitative studies?

To ensure objectivity, reliability, and validity of the data and results.

27
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How can quantitative research be used to generalize findings?

By studying large, representative samples, allowing conclusions to be extended to wider populations.

28
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Which style of reasoning—convergent or divergent—is typical of quantitative research?

Convergent reasoning, focusing on precise, logical, single-answer solutions rather than multiple ideas.