Critical Thinking and the Scientific Method
Critical Thinking Tools and the Scientific Method
Overview of critical thinking and the scientific approach.
Intuition & Common Sense
Many individuals believe intuition and common sense are sufficient for answering questions.
However, intuition and common sense are prone to errors.
Limits of Intuition
Personal interviewers may over-rely on their "gut feelings" when assessing job candidates.
This can lead to misjudgments.
Hindsight Bias
Defined as the "I-knew-it-all-along" effect.
After knowing an event's outcome, individuals often feel they could have predicted it.
Overconfidence
People may overestimate their knowledge or abilities.
Example: In a study by Goranson (1978), participants estimated it would take about 10 seconds to unscramble anagrams, but it averaged 3 minutes.
The Scientific Attitude
Comprises three components:
Curiosity: Passion for exploration and discovery.
Skepticism: Doubting and questioning assumptions.
Humility: Accepting responsibility for mistakes.
Critical Thinking
Involves not accepting conclusions blindly.
Key aspects include:
Examining assumptions.
Discerning hidden values.
Evaluating evidence.
Assessing conclusions.
Asking and Answering Questions
Utilizes:
The Scientific Method
Description
Correlation
Experimentation
Research Process
Theories: Generate or refine theories; e.g., low self-esteem feeding depression.
Hypotheses: Formulate hypotheses from theories; e.g., People with low self-esteem have higher depression scores.
Research and Observations: Conduct tests to observe relationships between variables.
Common Research Methods
Summary
Includes case studies, surveys, and naturalistic observations to describe behaviors.
Case Study
Technique focusing in-depth on one person or group to reveal behavioral principles.
Example: Investigating if language is uniquely human.
Survey
Technique to ascertain self-reported attitudes and opinions through questioning a representative sample.
Survey Wording
Survey results can be influenced by wording; e.g.,
"Should advertisements for skin whitening products be allowed on television?"
"Should advertisements for skin whitening products be forbidden on television?"
Survey Random Sampling
A random sample ensures each population member has an equal chance of inclusion, avoiding bias.
Example: Analyzing the marble color ratio with random sampling.
Naturalistic Observation
Observing and recording behavior in natural environments without interference, capturing all behaviors of interest.
Correlation
Definition: When two traits coincide, they are said to correlate.
Correlation Coefficient:
Indicates the correlation's direction (positive/negative).
Indicates the strength of the relationship (0.00 to 1.00).
Example: r = 0.37.
Correlation and Causation
Correlation does not imply causation, leading to misinterpretations.
Low self-esteem could cause depression.
Depression could lead to low self-esteem.
Distressing events or biological factors might cause both.
Illusory Correlation
Perception of a relationship that does not exist; e.g., children conceived after adoption.
Experimentation: Exploring Cause and Effect
Experiments isolate causes and their effects, manipulating interests while controlling other factors.
Independent Variable
The factor manipulated in an experiment; e.g., breast-feeding in intelligence studies.
Dependent Variable
The variable that may change in response; usually behavior or mental processes; e.g., intelligence levels in breast-fed vs. formula-fed individuals.
Random Assignment
Minimizes pre-existing differences between groups, ensuring valid result comparisons.
Double-blind Procedure
In therapy evaluations, both patients and assistants must be unaware of who receives real treatment vs. placebo.
Comparing Research Methods
Overview of Methods
Research Method | Basic Purpose | How Conducted | What Is Manipulated | Weaknesses |
|---|---|---|---|---|
Descriptive | To observe and record behavior | Through case studies, surveys, naturalistic observation | Nothing | No control; misleading due to single cases. |
Correlational | To detect natural relationships | Compute associations among surveys | Nothing | Does not specify cause and effect. |
Experimental | To explore cause and effect | Manipulate factors, use random assignment | Independent variable(s) | May not be feasible or ethical to manipulate. |