Experimental Design, Scientific Method, and Lab Requirements

Experimental Design and Variables

  • Independent Variable (IV): The variable directly controlled and manipulated by the researcher to test its effects.
    • Examples: Color of a drink, or the alcoholic content level of a drink.
    • Axis Placement: Plotted along the horizontal x-axis on standard experimental graphs.
  • Dependent Variable (DV) / Dependent Measure: The data collected or response measured to assess the outcome of manipulating the independent variable.
    • Behavioral Quantification Requirement: Requires a specific metric to measure behavior accurately.
    • Examples: Preference metrics, total number of drinks chosen, or percent preference.
  • Observational Study Design:
    • Involves observing and quantifying naturally occurring behavior without direct experimental manipulation.
    • Example: Counting the number of rum and Coke drinks stolen to evaluate if rum and Coke is the preferred drink.
    • Graphical Display: Represented using a histogram illustrating the total count for each drink category.
  • Experimental Graphing Conventions:
    • Horizontal Axis (x-axis): Holds the independent variable (e.g., alcohol content percentage ranging from 00 to 1010).
    • Vertical Axis (y-axis): Holds the dependent variable / measured response (e.g., number of drinks stolen, consumed, or selected at that specific level).
    • Trial Setup Example: Providing drinks across all available types in a single trial for each monkey and counting how many monkeys select each individual drink type and alcohol level.

Replicates and Sample Size

  • Replicates: The inclusion of multiple individual subjects across a population rather than relying on a single subject observation.
    • Primary Benefits:
    • Allows researchers to assess population-level trends rather than isolated individual quirks.
    • Reveals individual variation (e.g., identifying that different individuals prefer different drink options).
    • Enables calculation of summary statistics, such as determining average preference for alcohol levels.
    • Substantially increases the power of inference.
    • Specific Example: Testing only Charlie, a single vervet monkey, yields no valid conclusions regarding the broader vervet monkey population because Charlie's personal preferences do not inherently reflect the group.
  • Sample Size: The total number of individual subjects contained within the tested pool.
    • Effect on Inference: Increasing sample size directly enhances statistical inference and data reliability.
  • Laboratory Constraints:
    • Because lab sessions are restricted to a couple of hours, performing extensive replicates within a single period is limited.
    • Experimental protocols address this by repeating tests multiple times (e.g., running 33 trials as time allows) to establish reliable data collection.

Control Groups and Treatment Groups

  • Control Group: A baseline group in an experiment that does not receive the experimental treatment or factor being tested.
    • Purpose: Establishes a baseline comparison point to determine if observed effects are directly caused by the manipulated factor.
    • Drink Framework Example: Non-alcoholic beverages or alternative drink types that lack the specific ingredient being tested.
    • Medical Framework Example:
    • Control subjects receive a placebo or sugar pill containing no active medication.
    • Measures whether un-medicated subjects recover at a lower rate compared to subjects receiving the active drug.
  • Treatment Groups and Treatment Levels:
    • Treatment Groups: Experimental groups exposed to specific manipulations of the independent variable.
    • Treatment Levels: The specific amounts, dosages, or variations applied across treatment groups.
    • Drink Framework Examples: Different categories of drinks, varying percentages of alcohol content, or different flavor profiles.
    • Medical Framework Examples: Multiple distinct dosage levels applied across treatment groups, contrasted against the zero-dosage control group.

Scientific Method, Hypotheses, and Predictions

  • Sequential Steps of the Scientific Method:
    1. Background Information / Observations: Gathering context or baseline facts.
    2. Research Question: Formulating a focused research question.
    3. Experimental Design: Developing an experimental setup to answer the question.
    4. Data Collection / Results: Gathering empirical data and plotting graph metrics.
    5. Analysis: Interpreting compiled data and drawing conclusions.
  • Lab Notebook Integration:
    • Lab notebooks mirror the scientific method process, beginning with background information and context before progressing to the practical laboratory activity.
  • Distinction Between Hypothesis and Prediction:
    • Hypothesis: A broad, overarching statement describing how a phenomenon functions in the world, derived from initial observations.
    • Example: "Vervet monkeys prefer alcoholic drinks."
    • Prediction: A narrow, specific statement directly tied to the design of the specific experiment, typically framed as an "If… then…" conditional statement.
    • Example: "If vervet monkeys prefer alcoholic drinks, then a higher percentage will choose alcoholic drinks than nonalcoholic drinks."
  • Core Session Topics:
    • The introductory session centers on two primary components: lab safety guidelines (reviewed via video) and foundational scientific method terminology.

Lab Coursework, Assessments, and Required Materials

  • Assessment Structures and Points:
    • Lab Notebooks: Awarded points for properly documenting background information, procedures, and experimental data.
    • Exit Tickets / End-of-Lab Assessments:
    • Brief quizzes or single questions administered at the conclusion of lab sessions.
    • Focus primarily on experimental procedures to ensure students execute labs carefully, intentionally, and gain required knowledge.
    • Lab Practical Exams:
    • Hands-on practical exams structured with distinct stations around the laboratory.
    • Require students to demonstrate specific technical skills or explain practical lab concepts as outlined in the weekly syllabus.
  • Required Student Materials for Upcoming Class:
    • Lab Manual: Required for reading course guidelines, background context, and procedural instructions prior to class.
    • Lab Notebook: A physical notebook dedicated to lab coursework (a student exemplar notebook was shown in class, though online posting on D2L remains pending permission).

Lab Safety Quiz Requirements and Deadlines

  • Quiz Location: Located in the "Quizzes" section on D2L.
  • Mandatory Requirement: Must be successfully completed prior to performing any physical lab activities or receiving credit for lab work.
  • Attempt Rules and Mechanics:
    • Students are permitted up to 33 attempts.
    • D2L functionality re-displays missed questions on subsequent attempts to facilitate completion.
  • Passing Criteria:
    • Students must achieve a score strictly above 80%80\% (with a target of 100%100\%).
    • Scoring above 80%80\% is an absolute legalistic requirement for participating in lab work.
    • If 33 attempts are used or accidentally submitted without reaching the 80%80\% threshold, the instructor must be contacted to manually reopen the quiz.
  • Immediate Timeframe: 11 hour remains in the current lab block, allowing students to complete the quiz immediately on a mobile phone, laptop, or computer.

Questions and Discussion

  • Student Inquiry: "So we're just waiting for the Pearson access?"