Research

• Conceptual framework


  A blueprint for conducting research, often presented as a flow chart, map, or written diagram. It not only keeps the study on track but also aids other researchers in analyzing the work.
• Step-by-step guide on how to write the conceptual framework

  1. Choose your topic

  2. Do a literature review

  3. Isolate the important variables

  4. Generate the conceptual framework
• Choose your topic


  Decide on what will be your research topic. It should be within the field of your specialization.
• Do a literature review

  1. Go over relevant and updated studies related to your own research

  2. Use reliable sources of information and use appropriate documentation
• Isolate the variables


  Identify the specific variables mentioned in the literature and show their relationships
• Generate the conceptual framework


  1. Build your conceptual framework using the variables studied in the scientific articles you have read

  2. Your problem statement serves as a reference in constructing the conceptual framework

  3. In effect, your study will attempt to answer a question that other researchers have not yet explained
• Conceptual diagram


  • A diagram that visually represents and interprets that underlying theory, principles, and concepts of a research
  • A visual representation of variables that interrelate with one another as perceived by the researcher before an actual investigation is done to prove its relationships
• Conceptual diagram examples


  • Classroom Anxiety - Science Self-Efficacy - Peer Tutoring Program
  • Teacher Immediacy - Level of Research Skills Among SHS
  • Iksript-Pandulaan - Epekto sa Pagtuturo ng Wika at Pantikan
  • Unveiling the Lived experiences of stem students in san Jose national high school in practical research education: basis for capacity-building program
  • Adaptation and Coping Strategies of the Mangyans in Oriental Mindoro, Philippines Towards Climate Change-Related Occurrences
• Qualitative research focuses on understanding human experiences, behaviors, and attitudes using non-numerical data such as interviews, observations, and case studies.
• Research can be classified into two types: qualitative and quantitative.
• The research process is the systematic approach to answering questions or solving problems through scientific methods.
• Descriptive research involves observing and describing behavior without manipulating variables.
• Correlational research involves examining the relationship between two or more variables without manipulating them.
• Exploratory research aims to explore a topic and generate new ideas or hypotheses.
• Quantitative research uses numerical data obtained through surveys or experiments to test hypotheses and draw statistical conclusions.
• Mixed methods research combines both qualitative and quantitative approaches to gather comprehensive insights into complex phenomena.
• Quantitative research uses numerical data and statistical analysis to test hypotheses and draw conclusions about populations based on samples.
• The choice between qualitative or quantitative research depends on the nature of the research question and the type of data needed to address it.
• Quantitative research uses numerical data and statistical analysis to test hypotheses and draw conclusions about populations.
• Both qualitative and quantitative research are important tools for gaining knowledge and advancing our understanding of various phenomena.
• Experimental research involves manipulation of independent variable(s) to observe changes in dependent variable(s).
• Experimental research involves manipulating one variable while holding others constant to test causal relationships.
• Correlation research investigates the relationship between two or more variables.
• Experimental research involves manipulation of independent variable(s) to observe changes in dependent variable(s).
• Experimental research involves manipulating one variable while holding others constant to determine its effect on another variable.
• Correlation research investigates the relationship between two or more variables.
• Experimental research involves manipulating one variable while holding others constant to test causal relationships.
• Experimental research involves manipulating one variable while holding others constant to determine its effect on another variable.
• Survey research collects information from large groups of people about their opinions, beliefs, or characteristics.
• Survey research involves collecting information from a large sample of individuals about their opinions, beliefs, or behaviors.
• Quasi-experimental research uses natural groups that cannot be randomly assigned but still allows for testing causality.
• Qualitative research focuses on understanding human experiences, behaviors, and attitudes using non-numerical data such as interviews, observations, and documents.
• Quasi-experimental research uses natural groups that cannot be randomly assigned but still allows for testing causality.
• Case study research involves an in-depth analysis of a single individual, group, organization, event, or phenomenon.
• Phenomenological research explores people's subjective experiences and perceptions of phenomena.
• Case study research provides detailed information about individuals or organizations within their context.
• Case studies involve detailed analysis of individual cases or events to gain insights into complex issues.
• Qualitative research focuses on understanding human experiences, behaviors, and attitudes by collecting non-numerical data such as interviews, observations, and documents.
• Case study research provides detailed information about individuals or organizations within their context.
• Background of the Study

  An overview of the study and explains why you, as a researcher, are doing the research. It may be an offshoot for historical developments, cultural developments, academic developments, and scientific findings. It locates your study in the context of your specific field (HUMSS) and other related fields.