Introduction to Quantitative Research and Research Frameworks

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Vocabulary flashcards covering key concepts from the notes on research fundamentals, methods, and framework concepts.

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72 Terms

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Research

A systematic study aimed at discovering truth and generating knowledge.

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Objective Truth

Universally accepted facts (e.g., 1 + 1 = 2).

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Subjective Truth

Personal opinions or beliefs (e.g., Marcos is a hero).

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Purpose of Research

To understand reality, solve problems, and inform decisions—not just to fulfill academic requirements.

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Empirically Verifiable

Based on observable and measurable evidence.

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Tentative

Always open to revision.

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Ethically Neutral

Protects participants’ rights and privacy.

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Publicly Shared

Results are disseminated for public benefit.

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Quantitative Research

A systematic investigation using numerical data and statistical methods.

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Objectivity

Uses math and statistics to eliminate bias.

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Large Sample Size

Ensures reliability and reduces personal bias.

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Visual Presentation

Data shown in graphs, charts, and tables.

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Fast Analysis

Uses statistical tools for quicker results.

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Generalizability

Results from samples can apply to larger populations.

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Efficient Collection

Uses standardized instruments like questionnaires.

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Validity

Measures exactly what it intends to measure.

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Reliability

Produces consistent results across repeated studies.

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Replicability

Can be repeated to verify and improve findings.

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Predictive Ability

Can forecast outcomes using inferential statistics.

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Disadvantages of Quantitative Research

Lacks depth in exploring experiences; may miss emotions/beliefs; rigid design; predefined responses; large samples can be costly.

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Variable

A characteristic that varies within a group.

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Constant

A characteristic that does not vary.

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Independent Variable (IV)

The presumed cause; what the researcher manipulates.

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Dependent Variable (DV)

The presumed effect; what is measured or observed.

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Moderating Variable (MV)

A variable that influences the strength or direction of the IV–DV relationship.

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IV–DV Model

Shows how the Independent Variable affects the Dependent Variable.

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IV–DV–MV Model

Adds a Moderating Variable to explore deeper relationships.

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IPO Model

Input–Process–Output; common in education and business research.

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Hypothesis

A testable prediction about the relationship between variables.

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Alternative Hypothesis

Predicts a relationship or effect.

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Null Hypothesis

Predicts no relationship or effect.

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Quantitative

Systematic investigation using numerical data and statistics.

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Categorical

Qualitative differences, not measurable in numbers (e.g., gender, color).

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Independent Variable (IV) vs Dependent Variable (DV)

IV is the presumed cause; DV is the presumed effect.

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Relationship Representation: 1 Arrow vs 2 Arrows

One arrow indicates significant difference; double arrow indicates significant relationship.

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Variable Relationships (Examples)

Study Time → Exam Scores; Fertilizer Type → Plant Growth; Medication → Recovery Time; Exercise Frequency ↔ Body Weight.

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A Good Research Title Should Be

Descriptive, Direct, Accurate, Appropriate, Interesting, Concise, Precise, Unique, Not Misleading.

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Title Formula

Cause + Effect + Respondents + Location.

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Example Title

Anxiety and Depression among Grade 12 Students in a Catholic School in Davao City.

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Dissecting a Title (Steps)

Identify the cause, identify the effect, identify the respondents, and combine accordingly.

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Statement of the Problem (SOP) Template

General Objective: determine levels of [IV] and [DV] among [respondents] in [location]; assess if there is a significant relationship between [IV] and [DV].

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General Objective

A broad aim stated in SOP to guide the study.

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Specific Objectives

Targeted questions: demographics, levels of anxiety/depression, group differences, and relationships.

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Background of the Study

Context for the problem, including global, national, and local perspectives.

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Global Setting

Present global data, trends, and relevance.

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National Setting

Zoom in on country-specific issues and statistics.

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Local Setting

Describe the community or group where the study takes place.

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Relationship of Variables

Explain how IV and DV are connected (causal or correlational).

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Research Gap

Identify what hasn’t been studied or addressed yet.

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Social Value & Community Involvement

Show how the study benefits society and engages stakeholders.

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Dissemination Plan

Describe how findings will be shared (journals, conferences, etc.).

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Framework

The structural blueprint of a study guiding questions, questions, and methodology.

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Theoretical Framework

Anchored in a single established theory; used when a well-known model underpins the study.

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Conceptual Framework

Built from multiple concepts or theories; flexible and tailored to the study.

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Camera Lens Analogy

Research Lens = camera angle/focus; Theoretical Framework = camera settings; Conceptual Framework = final photo showing relationships.

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Common Research Lenses

Psychological, Sociological, Pedagogical, Cultural, Economic, Political.

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Common Conceptual Framework Models

IV–DV Model; IV–DV–MV Model; IPO Model.

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IV–DV Model (Model Type)

Shows how the Independent Variable affects the Dependent Variable.

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IV–DV–MV Model (Model Type)

Adds a Moderating Variable to explore deeper relationships.

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IPO Model (Model Type)

Input–Process–Output model, common in education and business research.

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Maslow’s Theory

Maslow’s hierarchy of needs used to explore student needs in a theoretical framework.

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Multiple Intelligences

Gardner’s theory that intelligence is diverse and domain-specific.

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Psychosexual / Psychoanalytic

Freud’s theory of personality development and motivation.

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Natural Selection

Darwin’s theory explaining how advantageous traits are favored by evolution.

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Parenting Styles

Diana Baumrind’s typology of parenting approaches and their effects.

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Social Learning

Bandura’s theory that learning occurs through observation and imitation.

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Personality Theory

Theories explaining consistent patterns of thoughts, feelings, and behavior.

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Zone of Proximal Development (ZPD)

Vygotsky’s idea of tasks just beyond current ability with help.

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Moral Development

Kohlberg’s stages of moral reasoning.

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Symbolic Interactionism

Mead’s theory on how people create meaning through social interaction.

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Structural Functionalism

Theory viewing society as interrelated parts that maintain stability.

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Peter Principle

Concept that people in an organization tend to be promoted to their level of incompetence.