RESEARCH

1. Characteristics of Good Research

• Systematic: Research is a systematic process. This means it follows a logical and orderly approach, adhering to a set of rules, procedures, and principles. It involves clearly defined steps, from problem identification and hypothesis formulation to data collection, analysis, and conclusion, ensuring reliability and validity of the findings.

• Controlled: This implies that in research, particularly in experimental designs, external factors or variables that might influence the results are minimized or held constant. By controlling variables, researchers can isolate the effect of the independent variable on the dependent variable, allowing for clearer cause-and-effect conclusions.

• Empirical: This means that research is based on direct observation, experience, or verifiable evidence rather than theory or pure logic alone. Empirical research relies on data gathered from the real world, which can be quantified or qualitatively described, making the findings verifiable and testable.

• Logical: Good research follows sound reasoning and rational inquiry. It involves constructing logical arguments, deriving conclusions from evidence through valid inference, and ensuring that hypotheses are testable and results are interpretable within a coherent theoretical framework.

• Cyclical: The research process is not linear but iterative. Findings from one study often lead to new questions, hypotheses, and further research. It involves continuous inquiry, where conclusions generate new problems for investigation, forming a cycle of discovery and refinement.

• Replicable: This characteristic requires that the research study can be repeated by other researchers using the same methods, under similar conditions, to achieve consistent results. Replicability enhances the reliability and validity of findings, building confidence in the scientific conclusions.

• Objective: This means that research strives to be free from personal biases, emotions, or subjective interpretations. Researchers aim to present findings fairly and without prejudice, letting the data speak for itself, even if the results contradict personal beliefs or expectations.

• Ethical: Good research adheres to moral principles and professional codes of conduct. It ensures the well-being, rights, and dignity of participants are protected, involving informed consent, confidentiality, and minimizing harm.

• Valid: Research is considered valid if it accurately measures what it intends to measure and if the findings truly represent the phenomenon being studied. This includes both internal validity (the extent to which a study establishes a trustworthy cause-and-effect relationship) and external validity (the extent to which findings can be generalized to other populations, settings, or times).

• Reliable: Reliability refers to the consistency and stability of research findings. A reliable study will produce similar results if repeated under the same conditions, using the same methods, by different researchers or at different times.

• Accurate: Research should be precise and exact in its data collection, analysis, and reporting. It aims to minimize errors and biases to ensure that the findings reflect the true state of affairs.

• Generalizable: The findings of good research should ideally be applicable beyond the specific sample or context studied, allowing conclusions to be drawn about a larger population or broader circumstances.

• Feasible: Good research is practical and achievable given the available resources, time, and skills. It considers constraints such as budget, access to participants, and logistical challenges to ensure the study can be completed successfully.

2. Scientific Attitude

A scientific attitude is a mindset characterized by certain qualities that are essential for conducting sound research and understanding the world objectively. Key components include:

• Divine Curiosity: A deep innate desire to explore, question, and understand the unknown, driven by an insatiable thirst for knowledge.

• Intellectual Honesty: Adherence to truthfulness and impartiality in research. It means accurately reporting data, acknowledging limitations, and giving credit where due, even if findings contradict one's own beliefs or hypotheses.

• Critical Mindedness: The ability and willingness to question assumptions, evaluate evidence rigorously, identify biases, and think independently rather than accepting information at face value.

• Skepticism: A healthy doubt about claims and conclusions until they are supported by sufficient and reliable evidence. It promotes rigorous testing and verification.

• Objectivity: The ability to remain unbiased and impartial when conducting research and interpreting results. Researchers strive to minimize personal beliefs, emotions, or values from influencing the study's design or outcomes.

• Perseverance: The persistence and determination to continue research despite challenges, setbacks, or failures. It involves dedication to the long-term process of inquiry and problem-solving.

3. Collection of Data

Collection of data refers to the systematic process of gathering and measuring information from various sources to address specific research questions or test hypotheses. It is a crucial step in any research endeavor.

Classifications of Data Sources

• Primary Sources of Data: Information gathered directly from the original source for the specific purpose of the current research. This data has not been previously published or interpreted.

  • Individual Persons (Respondents): Collecting data directly from individuals through surveys, interviews, or experiments.

  • Organized Groups or Organizations (e.g., Associations): Gathering data directly from groups or their records, such as organizational reports, meeting minutes, or internal surveys.

• Secondary Sources of Data: Information that has already been collected, processed, and published by someone else. Researchers use existing data for their current study.

  • Examples: Books, journal articles, government publications, statistical databases, historical records, and reports from research institutions.

Common Data Collection Methods

1. Surveys: Gathering information from a sample of individuals using questionnaires (online, paper, or orally administered) to collect data on attitudes, behaviors, opinions, or characteristics.

2. Interviews: Direct, in-depth conversations between a researcher and a participant to gather qualitative data about their experiences, perspectives, or feelings.

3. Experiments: Controlled studies designed to test a hypothesis by manipulating one or more independent variables and observing their effect on a dependent variable, typically involving control and experimental groups.

Observation

Observation is a method of data collection where researchers systematically watch and record behaviors, events, or characteristics in their natural or controlled settings. It involves carefully noting what is seen, heard, or otherwise perceived.

• Types of Observation (based on researcher's role):

  • Participant Observation: The researcher becomes an active member of the group or community being studied, immersing themselves in the environment to gain an insider's perspective.

  • Non-Participant Observation: The researcher observes from a distance without directly interacting with the participants or influencing their behavior. They remain an outsider to the group or situation.

• Types of Observation (based on data type):

  • Quantitative Observation: Focuses on collecting numerical data that can be counted or measured, such as frequency of an event, duration of a behavior, or specific measurements.

  • Qualitative Observation: Focuses on descriptive, non-numerical data about behaviors, interactions, and contexts, aiming to understand the richness and complexity of a phenomenon through detailed descriptions and interpretations.

4. Measurement

Measurement is the process of assigning numerical values or labels to observations or phenomena according to a set of rules. It allows for the quantification of variables, making them amenable to statistical analysis and comparison.

Traditional/Non-Standard Measuring Methods

Historically, various non-standard body parts or experiences were used as units of measurement due to their convenience and common availability. These methods lacked consistency and varied from person to person.

• Hand Span: The distance from the tip of the thumb to the tip of the little finger when the hand is fully extended.

• Cubit: The length from the elbow to the tip of the longest finger.

• Footstep: The length of a single step.

• Yard: Originally, the length of a man's girth or the distance from the nose to the thumb of an outstretched arm.

• Arm Length: The length of an arm, often from the shoulder to the fingertips.

Systems of Units

Measurement requires standardized units for consistency and comparability. The two most widely used systems are the International System of Units (SI) and the English (or Imperial) System.

• International System of Units (SI) / Metric System: The modern form of the metric system, adopted by most countries worldwide. It is based on a decimal system, making conversions simpler.

• English System (Imperial System): Primarily used in the United States, and to a lesser extent in a few other countries. It is based on historical units and does not follow a simple decimal relationship between units.

1. Characteristics of Good Research

• Systematic: Follows a logical, orderly approach with defined steps.

• Controlled: Minimizes external factors to isolate variables.

• Empirical: Based on direct observation and verifiable evidence.

• Logical: Uses sound reasoning, valid inference, and testable hypotheses.

• Cyclical: Iterative process where findings lead to new questions.

• Replicable: Can be repeated by others with consistent results.

• Objective: Free from personal biases and subjective interpretations.

• Ethical: Adheres to moral principles and protects participants.

• Valid: Measures what it intends to measure accurately.

• Reliable: Produces consistent results if repeated.

• Accurate: Precise in data collection, analysis, and reporting.

• Generalizable: Findings applicable beyond the specific study.

• Feasible: Practical and achievable within available resources.

1. Scientific Attitude

A mindset crucial for research, including:

• Divine Curiosity: Deep desire to explore and understand.

• Intellectual Honesty: Truthful, impartial reporting; acknowledges limitations.

• Critical Mindedness: Questions assumptions, evaluates evidence rigorously.

• Skepticism: Healthy doubt until claims are supported by evidence.

• Objectivity: Unbiased and impartial in research and interpretation.

• Perseverance: Persistence despite challenges and setbacks.

1. Collection of Data

Systematic gathering of information to answer research questions.

Classifications of Data Sources

• Primary Sources: Data collected directly for current research.

  • Individual Persons (Respondents): Through surveys, interviews, experiments.

  • Organized Groups or Organizations: From records or internal surveys.

• Secondary Sources: Existing data collected by others (e.g., books, articles, databases).

Common Data Collection Methods

• Surveys: Using questionnaires from a sample of individuals.

• Interviews: Direct, in-depth conversations for qualitative data.

• Experiments: Controlled studies to test hypotheses by manipulating variables.

Observation

Systematic watching and recording behaviors or events.

• Types of Observation (based on researcher's role):

  • Participant Observation: Researcher is an active group member.

  • Non-Participant Observation: Researcher observes from a distance.

• Types of Observation (based on data type):

  • Quantitative Observation: Collects numerical, measurable data.

  • Qualitative Observation: Collects descriptive, non-numerical data.

1. Measurement

Assigning numerical values to observations according to rules for quantification.

Traditional/Non-Standard Measuring Methods

Historical, inconsistent body-part-based units:

• Hand Span: Thumb to little finger with extended hand.

• Cubit: Elbow to longest fingertip.

• Footstep: Length of a single step.

• Yard: Length of a man's girth or nose to outstretched thumb.

• Arm Length: Shoulder to fingertips.

Systems of Units

Standardized units for consistency:

1. Scientific Posters

A scientific poster is a visual presentation of research, designed to convey key findings concisely and engagingly at conferences or symposia. They act as a graphical abstract, allowing researchers to share their work with a broader audience in a limited time.

Components of a Scientific Poster

A typical scientific poster includes the following sections, ordered logically to tell a research story:

• Title: Clear, concise, and engaging, reflecting the core topic.

• Authors and Affiliations: Names of researchers and their institutional connections.

• Abstract/Summary: A very brief overview of the research, its purpose, methods, key results, and conclusion.

• Introduction: Provides background information, context, and the research question/hypothesis.

• Methods: Describes how the research was conducted, including design, participants, materials, and procedures.

• Results: Presents the key findings, primarily using graphs, charts, tables, and images. Text should be minimal and highlight essential points.

• Discussion/Conclusion: Interprets the results, explains their significance, addresses limitations, and suggests future research.

• References: Key sources cited in the poster.

• Acknowledgements: Recognition of funding sources, collaborators, or individuals who provided assistance.

• Contact Information: For interested attendees to follow up.

How to Make an Effective Scientific Poster (Design Tips)

Creating an impactful poster involves strategic design choices:

• Visuals First: Prioritize graphs, charts, images, and infographics over dense text. Visuals should be high-resolution and self-explanatory.

• Keep it Simple: Less is more. Avoid clutter and excessive text. Focus on the most important information.

• Font Choices: Use clear, legible fonts. A common recommendation is Sans-serif fonts (e.g., Arial, Helvetica) for headings and body. Ensure font sizes are large enough to be read from a distance (e.g., Title: 80−120pt80−120pt, Headings: 36−48pt36−48pt, Body Text: 24−32pt24−32pt).

• Color Scheme: Use a consistent, appealing color scheme with good contrast between text and background. Avoid overly bright or clashing colors.

• Layout: Organize content into logical columns or sections. Use white space effectively to avoid visual overwhelm.

  • Flow: Guide the viewer's eye from left to right, top to bottom (like reading a book).

  • Headings: Use clear, prominent headings for each section.

• Concise Text: Write short, impactful sentences and phrases. Use bullet points rather than paragraphs.

• High-Quality Printing: Ensure the poster is printed professionally on appropriate material.

Presentation Tips

Beyond the poster itself, your presentation matters:

• Be Prepared: Know your poster content thoroughly. Practice a 2-3 minute summary of your research.

• Engage with Attendees: Stand by your poster, be approachable, and be ready to answer questions.

• Highlight Key Findings: Briefly explain the most important aspects of your research, especially your key results and conclusions.

• Have Handouts: Consider preparing small handouts with a QR code to your paper or a condensed version of your poster for interested viewers.

By following these guidelines, researchers can create scientific posters that effectively communicate their work and foster valuable