Summary
Difficulty: ★☆☆☆☆
Covers:Pseudoscience & scepticism, research–practice integration, critical evaluation & thinking, science vs pseudoscience types, ethics, correlation vs causation, major frameworks, levels of analysis, challenges in psychology, theories vs hypotheses, biases & fallacies
Quizlet flashcards:https://quizlet.com/au/1121005099/psyu1102-week-1-psychological-science-and-literacy-flash-cards/?i=6xlcf8&x=1qqt
Pseudoscience
Definition:
Claims that appear scientific but don’t follow scientific principles. They lack safeguards against confirmation bias and belief perseverance.
Features of Scientific Scepticism
- Extraordinary claims require extraordinary evidence
- Testable predictions
- Generalisability
- Replicability
- Ruling out rival hypotheses
4 Key Principles of Scientific Practice
- Integration of research & practice
- Critical evaluation and application
- Continual learning
- Ethical and effective interventions
Research–Practice Integration
Evidence-based practice:
Every decision, intervention, and therapeutic method must be grounded in scientific evidence.
Real-life example:
HERE.org.au — Online suicide prevention hub for LGBTQIA+ youth
Supported by ACON’s 2022 Scoping Review.
Critical Evaluation of Research
Steps
- Articulate a clear research question/hypothesis
- Identify type of data needed (primary vs secondary)
- Assess data quality (reliability, validity, <10 years old)
- Evaluate relevance to research question
- Check consistency across sources and time periods
5 Strategies to Sharpen Critical Thinking
- Be flexible — avoid confirmation bias
- Embrace complexity & nuance
- Practice intellectual humility
- Check sources
- Avoid fallacies (strawman, ad hominem)
How to Think Critically
- Question: Who is making the claim?
- Explore: Seek reliable sources
- Assess: Credibility, bias, expertise
- Simplify: Break down arguments logically
- Engage: Consider opposing viewpoints
- Integrate: Combine information for deep understanding
- Conclude: Based on evidence
- Communicate: Clear, logical, evidence-based
- Reflect: On your own bias
- Practice: Strengthen thinking skills over time
Scientist vs Practitioner Mindsets
Scientist:
- Evaluate study design
- Assess quality of measures
- Judge if conclusions are supported
- Check contribution to literature
Practitioner:
- Assess generalisability to diverse groups
- Evaluate real-world relevance
- Determine implications for assessment/diagnosis/treatment
- Consider policy & future research
- Check whether limitations are acknowledged
Science vs Pseudoscience
Science
Real evidence, testable predictions, peer review.
Pseudoscience
Lacks evidence, untestable claims, resists criticism.
Types of Pseudoscience
- Ad Hoc Immunising Hypotheses:
Excuses added after-the-fact to prevent falsification - Exaggerated Claims:
Outlandish, unsupported (e.g., alkaline water cures everything) - Anecdotes > Evidence:
Personal stories instead of peer-reviewed data - Lack of critical examination:
No connection to broader research
Ethical Practice
- Confidentiality
- Informed consent
- Minimise harm, maximise benefit
Correlation vs Causation
Correlation =/= causation
(We don’t infer cause from simple associations.)
WEIRD Populations
Western, Educated, Industrialised, Rich, Democratic
Psychology over-relies on these samples.
6 Major Theoretical Frameworks
Structuralism
Introspection + structure of consciousness
Wundt, Titchener
Functionalism
Purpose of mental processes
William James
Behaviourism
Observable behaviour; conditioning
Watson, Skinner
Cognitive
Mind as information processor
Neisser, Miller, Piaget
Psychoanalysis
Unconscious conflicts; childhood
Freud
Humanistic
Goodness, free will, self-actualisation
Rogers, Maslow
Levels of Psychological Analysis
- Molecular
- Neurochemical
- Physiological
- Mental
- Behavioural
- Social
Key Challenges in Psychology
- Human behaviour is multiply determined
- Causes interact
- Individual differences
- Reciprocal determinism
- Cultural influences
- Naïve realism
Thin-slice Judgments
5-second impressions often surprisingly accurate
Scientific Theory
Broad explanation integrating findings, generates testable predictions.
Theories vs Hypotheses
Theory → broad framework
Hypothesis → specific, testable prediction
Biases
Confirmation Bias
Seeking info that supports existing beliefs.
Belief Perseverance
Clinging to beliefs despite contradictory evidence.
Warning Signs of Pseudoscience
- Ad hoc immunising
- Lack of self-correction
- Reliance on anecdotes
- No connection to broader literature
Logical Fallacies
- Appeal to authority
- Genetic fallacy
- Argument from antiquity
- Adverse consequences fallacy
- Bandwagon fallacy
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