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DULS Guide to Basics of Research Methodology & Fundamentals

๐ŸŽฏ What is Research?

Research is "a structured and scientific approach used to collect, analyze, and interpret quantitative or qualitative data to answer research questions or test hypotheses." More comprehensively, research methodology represents a systematic method to resolve research problems through data gathering using various techniques.

๐Ÿ”ฌ Scientific Inquiry Foundation

Scientific inquiry involves careful observation, asking questions, formulating hypotheses, experimental testing, and refining hypotheses based on experimental findings. This process includes creating testable hypotheses through inductive reasoning, testing these hypotheses through experiments and statistical analysis.

๐Ÿ“Š Types of Research

๐Ÿ”ข Basic Research

Purpose: Enhance existing knowledge without specific real-world application in mind

Characteristics: Broad scope, curiosity-driven, exploratory

Example: Studying fundamental principles of cognitive processes in memory formation

๐ŸŽฏ Applied Research

Purpose: Examine how real-world phenomena can be altered or improved

Characteristics: Practical focus, experimental approaches, structured methodology

Example: Testing effectiveness of new teaching method in classrooms to improve student outcomes

Research by Purpose: The Three-Tiered Framework

๐Ÿ” Exploratory Research

Conducted when little is known about a topic. Aims to gain insights rather than test hypotheses.

๐Ÿ“‹ Descriptive Research

Describes characteristics of a topic as it exists currently. Provides detailed portrayal of situations.

๐Ÿ”— Explanatory Research

Builds on other research to understand phenomena by discovering causal relationships.

โœจ Characteristics of Good Quality Research

๐ŸŽฏ Methodological Rigor

  • Systematic Approach: Clear, logical sequence of steps with consistent procedures
  • Validity and Reliability: Results accurately reflect phenomena studied
  • Reproducibility: Other researchers can replicate methodology
  • Ethical Standards: Protection of human subjects and honest reporting

๐Ÿ“Š Quality Indicators

Data Quality: Appropriate sampling, unbiased collection, inclusive methodology, secure storage

Analytical Rigor: Appropriate methods matched to research questions, transparent analysis, appropriate interpretation

๐Ÿ”„ The Complete Research Process

1. Problem ID
2. Design
3. Data Collection
4. Analysis
5. Dissemination

๐Ÿ“‹ Phase 1: Problem Identification

  • Observation and gap identification
  • Literature review
  • Research question development
  • Hypothesis formation

๐Ÿ“ Phase 2: Research Design

  • Methodology selection
  • Methods selection
  • Sampling strategy
  • Ethical considerations

๐Ÿ“Š Phase 3: Data Collection

  • Participant recruitment
  • Data gathering
  • Quality control
  • Documentation

๐Ÿ“ˆ Phase 4: Analysis

  • Data processing
  • Statistical/analytical methods
  • Pattern recognition
  • Interpretation

โ“ Identifying Research Problems

๐Ÿฅ Practical Field Experiences

Real-world problems observed in professional practice

๐Ÿ“š Literature Gaps

Systematic review to identify contradictions and unexplored areas

๐Ÿค” Theoretical Contradictions

Conflicts between different theoretical perspectives

๐Ÿ“ Problem Statement Formulation

๐ŸŽฏ Significance

Addresses important issues that matter to the field

๐Ÿ’Ž Clarity

Precisely stated, avoiding vague statements

โœ… Feasibility

Realistic given available resources

๐Ÿ’ก Originality

Explores new facets rather than replicating

โ“ Research Questions vs Hypotheses

โ“ Research Questions

Purpose: Explore when limited knowledge exists

Format: Interrogative statements seeking understanding

๐ŸŽฏ Hypotheses

Purpose: Make testable predictions about relationships

Format: Declarative statements predicting outcomes

๐Ÿ“ Research Design Overview

๐Ÿงช Experimental Designs

Manipulate variables to establish cause-effect relationships

โš–๏ธ Quasi-Experimental

Test causality without random assignment

๐Ÿ“Š Non-Experimental

Observe and describe without manipulation

๐Ÿ’ญ Qualitative Designs

Understand experiences and meanings

๐Ÿ”— Mixed Methods

Combine quantitative and qualitative approaches

๐Ÿ“– Literature Review Methodology

๐Ÿ“– Narrative Reviews

Broad, critical assessment emphasizing background and context

๐Ÿ” Systematic Reviews

Explicit, systematic methods to minimize bias

๐Ÿ“Š Meta-Analytic Reviews

Quantitative systematic reviews with statistical combination

๐Ÿ”Ž Search Strategy Development

๐Ÿ“‹ PICO Framework

  • Population: Who is being studied?
  • Intervention: What is being implemented?
  • Comparator: What is it compared to?
  • Outcome: What are you measuring?

๐Ÿฅ Health Sciences Databases

  • PubMed/MEDLINE
  • CINAHL
  • Cochrane Library

๐Ÿ‘ฅ Social Sciences Databases

  • PsycINFO
  • ERIC
  • Sociological Abstracts

๐Ÿ› ๏ธ Interactive Research Design Selector

Answer the questions below to get personalized recommendations for your research design

1. Basics
2. Objectives
3. Resources
4. Constraints
5. Results

๐Ÿ“š Basic Information

๐ŸŽฏ Research Design Recommender

Find the perfect research design for your academic discipline

๐Ÿ“š Select Your Academic Discipline

Choose your field of study to get personalized research design recommendations

๐Ÿ“š Essential Research Resources

๐Ÿ”— Research Databases

PubMed: Medical literature

Google Scholar: Academic search

PsycINFO: Psychology research

ERIC: Education resources

๐Ÿ› ๏ธ Research Tools

G*Power: Sample size calculation

SPSS/R: Statistical analysis

NVivo: Qualitative analysis

Zotero: Reference management

๐Ÿง  Test Your Research Knowledge

Which research design is best for establishing cause-and-effect relationships?
Cross-sectional study
Randomized controlled trial
Case study
Correlational study
Question 1 of 5 | Score: 0