According to Alcantara and Espina (2003):
Research is crucial for problem-solving and advancement.
Inventions and discoveries improve knowledge and quality of life.
Research expands knowledge and understanding.
According to Faltado et al. (2016) Quantitative research is:
Objective
Has defined research questions
Uses structured research instruments
Deals with numerical data
Involves large sample sizes
Involves replication
Predicts future outcomes
Objectivity
Statistical techniques for data analysis
Quick and easy analysis of numerical data
Replicability
Requires a large number of respondents
Costly
Ignores contextual factors for result interpretation
Difficulty in gathering information using structured instruments
Questionnaire data may be incomplete or inaccurate if not seriously and correctly answered.
Definition of Quantitative Research
Objective, systematic empirical investigation using computational techniques
Focuses on numerical analysis of data for unbiased results
Examples: comparing student performance with and without ICT, surveying viewer preferences
Characteristics of Quantitative Research
Objective
Seeks accurate measurement and analysis
Clearly Defined Research Questions
Well-defined questions with objective answers sought
Structured Research Instruments
Standardized tools like questionnaires for data collection
Numerical Data
Summarized data presented in figures, tables, or graphs
Large Sample Sizes
Preferred for reliable data analysis
Replication
Methods can be repeated for verification in different settings
Strengths and Weaknesses of Quantitative Research
Strengths
Objective, reliable, facilitates sophisticated analyses
Real and unbiased, replicable, useful for testing results
Weaknesses
Requires large sample sizes, costly, ignores contextual factors
Difficult to gather sensitive information, prone to incomplete data
Kinds of Quantitative Research Designs
Experimental Designs
Quasi-experimental and true experimental designs for internal validity
Quasi-Experimental Design
Involves non-equivalent control groups and interrupted time series design
True-Experimental Design
Controls for time and group-related threats, employs treated and control groups
Non-Experimental Design
Observes phenomena naturally without external variables
Descriptive Research Design
Observes, describes, and documents situations as they occur
Types of Descriptive Design
Survey
Gathers information from samples chosen from a population
Quantitative Research Designs
Emphasize objective measurements and statistical analysis of data.
Classified into experimental and non-experimental designs.
Experimental Research Design
Allows control over the situation to identify cause and effect relationships.
Supports inferring direct causal relationships in studies.
Pre-Experimental Design
Includes simple group pre-test-post-test design.
Compares posttest of treated groups with an untreated group.
Protects from rival explanations with between-subjects design.
Types of Quantitative Research Designs
Correlational Research
Aims to find associations between variables or groups.
Bivariate Correlational Studies.
Obtains score from two variables for each subject
Prediction Studies
Uses correlation coefficient to show how one variable predicts another
Multiple Regression
All variables in the study can contribute to the over all prediction in an equation that adds together the predictive power of each identified variable
Ex-Post Facto or Causal-Comparative Research
Derives conclusions from past observations and compares with dependent variables.
Comparative Research
Compares two or more study samples on various variables.
Normative Research
Describes the norm level of characteristics for a given behavior.
Evaluative Research
Determines the success of programs or institutions.
Evaluates the effectiveness of processes based on set goals.
Evaluates the success of programs or institutions based on set goals.
Methodological Research
Integrates various methodologies to develop a scale-matched approach.
Characteristics of Quantitative Research
Objectivity, large sample sizes, structured research questions, numerical data, and replication.
Strengths include real & unbiased data, clear definitions, and facilitating analysis.
Weaknesses involve the cost, difficulty in gathering data, and potential for incomplete or inaccurate data.Importance of Qualitative Research Across Fields
Research is conducted to find solutions to problems, improve ways of doing things, disprove hypotheses, and find answers to questions in daily life.
Research findings can impact people's lives, laws, rules, policies, etc.
Teachers in basic education are increasingly involved in research to enhance educational practices and improve student learning.
Action research helps identify and address issues in education systematically.
Quantitative research in natural and social sciences involves empirical investigation using statistical, mathematical, or computational techniques.
It aims to develop mathematical models, theories, and hypotheses related to phenomena.
Health sciences use quantitative research designs like descriptive, pre-experimental, quasi-experimental, etc.
Research in accounting, business, and management helps in product/service design, distribution strategies, decision-making for expansion, and customer satisfaction.
Anthropology combines qualitative and quantitative research to explore cultural connections and identity.
True experiments in anthropology study the effects of interventions on group behavior.
Communication research explores the effects of communication behaviors in different contexts like classrooms, romantic relationships, and workplace stress.
Sports medicine uses quantitative research to analyze the impact of physical activity on weight control and obesity prevention.
Medical education relies on observational research through surveys or correlational studies to test interventions and educational processes.
Behavioral sciences investigate relationships between different behaviors and explore patterns of behavior in various groups.
Education uses quasi-experiments to evaluate social problems and interventions for improving learning outcomes.
Psychology research has been guided by paradigms like positivism and post-positivism, focusing on studying the social world through value-free methods.
Researchers study how communication phenomena generalize to larger populations and explore behaviors in different contexts like classrooms and relationships.
Research analyzes the relationship between physical activity, obesity, and endurance fitness in children to understand weight control and obesity prevention.
Observational research in medical education tests interventions like curriculum and teaching methods to improve learning outcomes.
Studies explore relationships between different behaviors and perceptions, as well as patterns of behavior in various groups.
Quasi-experiments are commonly used to evaluate interventions and social problems in education to improve learning outcomes.
Early psychological research was guided by paradigms like positivism and post-positivism, focusing on studying the social world through value-free methods.
Quantitative Research in Communication
Researchers aim to understand communication phenomena and generalize findings to larger populations.
Examples include studying the effects of punitive behavioral control statements in classrooms and communicative behaviors in romantic relationships and workplace settings.
Quantitative Research in Sports Medicine
Focuses on analyzing the relationship between physical activity, obesity, and weight control in children.
Research aims to understand the impact of physical activity on weight management.
Quantitative Research in Medical Education
Predominantly observational research based on surveys or correlational studies.
Tests interventions like curriculum, teaching-learning processes, or assessments with experimental groups to infer cause-effect relationships.
Quantitative Research in Behavioral Sciences
Explores relationships between different behaviors exhibited by individuals.
Investigates how behaviors like verbal aggression relate to physical aggression and how communication styles vary across cultures and groups.
Quantitative Research in Science, Technology, Engineering, and Mathematics (STEM)
Helps in understanding disease trends, health interventions, and care patterns.
Aids in evaluating the effectiveness and side effects of drugs and therapies in different populations.
Research in engineering contributes to developing designs that are both aesthetically pleasing and efficient, utilizing modern technology.
Variables in Research
Variables are characteristics with two or more mutually exclusive values.
Types of variables include continuous (interval and ratio) and discrete (nominal and ordinal) variables.
Types of Variables
Continuous Variables
Interval Variables: Values lie along an evenly dispersed range with meaningful differences.
Ratio Variables: Values have an absolute zero point and meaningful ratios.
Discrete Variables
Nominal Variables: Categories without a quantitative value.
Ordinal Variables: Categories that can be ordered but lack meaningful distances between attributes.
Independent Variables
Cause, influence, or affect outcomes
Also known as treatment, manipulated, antecedent, or predictor variables
Example: Study habits influencing academic performance
Dependent Variables
Outcomes that depend on independent variables
Also called outcome variables
Example: Academic performance depending on study habits
Intervening or Medling Variables
Stand between independent and dependent variables
Show effects of independent variable on dependent variable
Example: Attitude towards payment affecting loan repayment
Control Variables
Special types of independent variables that potentially influence the dependent variable
Measured to control for their influence
Demographic or personal variables that need to be controlled
Confounding Variables
Not measured or observed in a study
Influence cannot be directly detected
May explain the relationship between independent and dependent variables
Definition of Research Topic
A general area of interest for the researcher.
Factors to Consider
Relevance
Importance to the target audience and daily life.
Interest
Should engage readers and motivate the researcher.
Manageability
Must be feasible within the researcher’s abilities and time constraints.
Availability of Resources
Sufficient references should be accessible for consultation.
Caution
Avoid very recent or highly technical topics due to limited resources or understanding.
Brainstorm for Ideas
Write down keywords or concepts related to interesting ideas.
Branch Out Ideas
Focus broad ideas into specific topics through discussions.
Gather Background Information
Use reliable sources for foundational knowledge.
Narrow Down the Topic
Ensure the topic is focused enough for research formulation.
Definition of Title
Summarizes the main idea of the research paper.
Characteristics of a Good Research Title
Predicts content.
Engaging to the reader.
Reflects the tone of the writing.
Contains important keywords for searchability.
Describe the topic, method, sample, and results.
Use current terminology comprehensible to non-experts.
Keep the title between 5 and 15 words.
Use declarative or question form (less frequent for questions).
Avoid overly general titles (e.g., "Exercise and Weight").
Refrain from using uncommon abbreviations.
Avoid phrases like “A Study of…” to reduce wordiness.
Do not indicate the year of the study.
Avoid jargon.
Purpose
Establishes the context of the study, including subject descriptions and historical background.
Describe the Study
Nature, features, and merits of the topic.
Literature Review
Summarize major studies and group authors with similar views.
Current Situation
Discuss educational problems based on observations.
Identify Gaps
Highlight contradictions in knowledge from literature and observations.
Current State of the Field
Importance and ongoing interest in the research area.
Conventional Practices
Discuss current methods and their contributions.
Identify the Research Gap
Highlight unaddressed aspects or inconclusive findings.
Contribution of the Study
Explain how the study will fill the identified gap.
Definition
Specific issue to be addressed, identifying variables and relationships.
Conduct preliminary research.
Prepare a concept map to synthesize ideas.
Identify the research problem from clusters.
Definition
Defines the research problem and guides the study.
General Research Question
Related to quantitative research (effects, relationships).
Specific Research Problem
Anchored on the general question, aids in data collection.
Used to quantify variables through surveys.
Questions often start with "how often," "how much," etc.
What is the most preferred cuisine of Mexicans?
How many Chinese citizens leave the country annually for better opportunities?
Understand associations between variables.
Questions start with "What is the relationship" between variables.
What is the relationship between age and food preferences in Mexico?
What is the relationship between family income and university admission for American students?
Seeks to discover causes of phenomena.
Establishes comparisons between groups based on dependent variables.
Purpose
Details contributions and benefits of the study to various stakeholders.
Refer to the problem statement for specific contributions.
Write from general to specific contributions.
Topical Arrangement
Based on individual contributions.
Enumeration
Arranged according to beneficiaries.
Definition of Scope and Delimitation
Describes the parameters of the study.
Sets boundaries in terms of specific aspects.
Identifies the topic and information the researcher intends to cover.
Scope
Identifies boundaries in terms of:
Subjects
Objectives
Facilities
Area
Time frame
Issues focused on in the research.
Sample Phrases for Scope
"The coverage of this study…"
"The study consists of…"
"The study covers the…"
"This study is focused on…"
Delimitations
Define factors consciously controlled by the researcher.
Common delimitations include:
Population or sample size.
Setting of the study.
Design or setup of the study.
Choice of research tools and methodologies may also be limited.
Sample Phrases for Delimitations
"The study does not cover the…"
"The researcher limited this research to…"
"This study is limited to…"
Importance of Inclusion and Exclusion
Reasons for including or excluding variables should be provided.
Reasons vary based on the nature of the study.
Definition
An academic text providing an overview of a topic.
Identifies known and unknown aspects of a subject.
Surveys scholarly articles, books, and other relevant sources.
Key Functions
Contextualizes each work's contribution.
Describes relationships among works.
Identifies new interpretations and gaps in research.
Resolves conflicts among contradictory studies.
Additional Functions
Prevents duplication of prior scholarship.
Guides future research directions.
Contextualizes original work in relation to existing literature.
Does not present new primary scholarship or findings.
Theory Development
Provides context for describing and evaluating new theories.
Theory Evaluation
Assesses existing conceptualizations.
Survey of Knowledge
Offers an overview and integration of a research area.
Problem Identification
Reveals weaknesses or controversies in a field.
Historical Account
Chronicles the development of theory and research.
Searching for relevant works.
Analyzing scholarly works.
Drafting the literature review.
Definition
Systematic search for reference materials relevant to the study.
Important to survey all possible sources, especially from leading scholars.
Provenance
Author's credentials and publication source.
Evidence supporting the author's arguments.
Objectivity
Author's perspective and consideration of contrary data.
Persuasiveness
Evaluation of the author's theses and data.
Value
Contribution of the work to understanding the subject.
Identify necessary topics and concepts.
Specify types of sources (articles, books, etc.).
Search scholarly work in libraries or databases (e.g., Proquest, JSTOR).
Include references from reputable journals and experts.
Use relevant keywords for searches.
Use reliable online links (e.g., .gov, .edu).
Utilize Boolean searching strategies to refine searches.
AND: Searches for texts containing both terms (e.g., university AND colleges).
OR: Searches for texts containing either term (e.g., university OR colleges).
NOT: Excludes a term (e.g., university NOT colleges).
Quotation Marks: Searches for specific phrases (e.g., “Top Philippine universities”).
Importance of Citation
Demonstrates credibility and intellectual honesty.
Highlights skills in reporting others' work.
Provides evidence for claims and a trail for further research.
In-text Citation
Indicates the source within the text (author's last name and year).
Reference Citation
Complete bibliographic information at the end of the paper.
APA Style: Used in social sciences.
MLA Style: Used in humanities and arts.
Chicago Manual of Style: Used in various disciplines, especially history.
APA: (Falchikov & Boud, 1989)
MLA: (Falchikov and Boud 415)
CMOS: (Falchikov and Boud 1989, 415)
Purpose of Evaluation
Performed after selecting potential references.
Screens references for reliability and usefulness.
Ensures materials are closely related to the research topic.
Overview of References
Obtain an overview of selected references.
Evaluate research articles for reputable publishers and legitimate authors.
Avoid references from predatory journals/publishers.
Material Relevance
Avoid materials that do not directly explain concepts related to the study.
Prefer references published within the last five years.
Organizing References
Group references according to categories used during literature search.
Carefully read materials for key information.
Use concept maps to visualize relationships among materials.
Model Paper
Get a model paper on a similar topic.
Provide an overview of the literature review.
Divide the review into:
Conceptual Literature
Related Studies
Conceptual Literature
Use concepts from the title or specific questions of your research.
Related Studies Arrangement
Group by theme, chronology, or type (foreign/local).
Writing Arrangements
Thematic Arrangement: Focus on similarities/differences with previous studies.
Chronological Arrangement: Emphasize development in the field.
Typological Arrangement: Highlight local studies on the topic.
Synthesis and Definitions
Write a synthesis at the end of related studies to show research gaps.
Define important terms in the study.
Direct readers to scholarly works for detailed concepts if needed.
Cohesiveness in Writing
Use cohesive devices to link ideas.
Implement headings and subheadings.
Apply cohesiveness principles throughout the review.
Use direct quotations sparingly.
Final Synthesis
Write a brief synthesis at the end to show how scholarly works shape your paper.
Survey all sources before claiming a lack of studies on a topic.
Cite all sources appropriately.
Synthesizing
Consolidate several references into a cohesive text.
Note-taking
Write and integrate information from source texts.
Common forms: summarizing and paraphrasing.
Microlevel Synthesis
Consolidation of ideas to explain a concept.
Strategies for Microlevel Synthesis
Note related ideas and cluster them.
Arrange ideas logically, discussing common ideas first.
Use multiple citations for shared ideas.
Insert citations while writing.
Macrolevel Synthesis
Consolidate studies to establish research gaps.
Draw conclusions based on similarities and differences.
Relate various issues and topics to highlight their relevance.
Key Strategies
Note similarities and differences relevant to your paper.
Identify unaddressed issues in references.
Arrange studies logically (thematically or chronologically).
Draw conclusions to highlight importance.
Summarizing
Condense lengthy source material.
Paraphrasing
Reword ideas from original text in detail.
Summarization Steps
Read and understand the text fully.
Annotate important ideas.
Note bibliographical information.
Identify main ideas of paragraphs and rewrite them.
Coherent Summary
Combine sentences into a coherent paragraph.
Avoid adding comments or unnecessary repetition.
Compare summary with the original for accuracy.
Paraphrasing Steps
Read and comprehend the passage thoroughly.
Highlight relevant words/phrases and rephrase them.
Annotate if needed for clarity.
Word and Sentence Level Paraphrasing
Use synonyms and transform sentence structures.
Retain the original tone and ensure accuracy.
Final Checks
Compare paraphrased text with the original.
Properly cite the source of the paraphrased
Objective Reporting:
Report findings from cited studies objectively.
Avoid distorting findings to support personal claims.
Citing Sources:
Always cite sources to acknowledge relevant studies and practice intellectual honesty.
Avoiding Fabrication:
Do not fabricate information or report false data.
Plagiarism Prevention:
Avoid using others' ideas without proper attribution.
Level 1: Copying a full paper word for word without acknowledgment.
Level 2: Lifting up to 50% of a work without citation.
Level 3: Copying specific portions (sentences/paragraphs) without citation.
Level 4: Failing to cite or correctly paraphrase used works.
Level 5: Citing a source but heavily copying from it.
Keep track of all sources (print and non-print).
Understand the context of your sources.
Jot down ideas and important details.
Avoid copy-and-paste practices.
Always cite field-specific knowledge.
Theoretical Framework (TF):
General frame for observation, concept design, research design, and findings interpretation.
Conceptual Framework (CF):
System of ideas and theories specific to the study.
Functions as a map for navigating research.
Presentation:
Visual (diagrams/charts) and narrative (explanatory paragraphs).
Similarities:
Both provide comprehensive explanations and justify research methods.
Differences:
TF is broader and derived from existing theories; CF is narrower and specific to the study.
Selecting Theoretical Framework:
Understand variables and their relationships.
Review existing literature for relevant theories.
Choose the most relevant theory for your study.
Developing Conceptual Framework:
Identify key concepts from research questions.
Search for existing theories and their relationships.
Plot the framework and incorporate necessary concepts.
Write a narrative explanation of concepts and their relationships.
Definition: A testable statement predicting relationships between variables.
Types of Hypothesis:
Null Hypothesis (Ho): No relationship between variables.
Alternative Hypothesis (Ha): There is a relationship between variables.
Directional vs. Non-Directional:
Directional: Specifies the nature of the relationship (positive/negative).
Non-Directional: Does not specify the nature of the relationship.
Definition of Terms: An annex listing acronyms, jargon, and key terms.
Types of Definitions:
Conceptual: Universal meaning understood by many (dictionary definitions).
Operational: Specific meaning in the context of the study, allowing measurement.
Guidelines for Defining Terms:
Define only terms with unique meanings in the study.
Use operational definitions.
Develop definitions from term characteristics.
Acknowledge sources for definitions.
Ensure definitions are brief, clear, and unequivocal.