SCIENTIFIC METHOD

Cards (16)

  • SCIENTIFIC METHOD
    • Provides a systematic approach to establishing measurable and accurate conclusions. 
    • Roger Bacon,  behind the formation of the scientific method, who proposed induction as the cornerstone of empiricism
  • DEDUCTIVE METHOD
    General to specific
    • Starts with general principles recognized as truths and proceeds to particular conclusions.
  • INDUCTIVE METHOD
    Specific to General
    • Starts with particular facts and proceeds to general conclusions. Used when there is no theory to test.
    • Syllogism
    • Uses if there is no theory to test
  • STEPS IN SCIENTIFIC METHOD
    1. ASKING A QUESTION
    2. BACKGROUND RESEARCH
    3. CONSTRUCTING A HYPOTHESIS
    4. DOING AN EXPERIMENT
    5. ANAYZING DATA
    6. FORMING A CONCLUSIONS
  • Asking a question
    • Formulate a measurable, quantifiable, researchable question based on observations and worthy of your time to study.
  • Background Research
    Gather information from reliable sources like books, journals, articles, interviews from field experts,, and abstract supported by theories.
  • Theories explain the diversity of observation supported by evidence.
  •  Constructing a Hypothesis
    Develop an educated guess that attempts to answer your question.
  • .Doing an Experiment
    • Test the hypothesis by manipulating variables and collecting data
    • All data and measurements
  • Analyzing Data
    The collected data after the experiment should be analyzed
  • Forming a Conclusions
    Determine if the hypothesis is proven(right) or disproven(wrong) based  on results.
    • Independent Variables (What you change)
    The factor manipulated by the researcher to observe its effect on the dependent variable.
    • Dependent Variables (What you measure)
    The factor being measured that may change in response to the independent variable.
    • Controlled Variables (What you keep the same)
    • Factors keep constant throughout the experiment to ensure valid results.
    • Extraneous Variables (What might accidentally mess it up)
    “Extra” variables that might influence the outcome but are part of the study design