Module 1 (Psychology as a Science): The Scientific Method, Paradigms and Research Methods Flashcards
Research Design/Methods (6 types, order of “order of control”)
- Introspection - looking inward and reporting on mechaniations of ones own mind. Observing and resporting without influence of prior knowledge. Varies with complex process and individual difference
- Naturalistic Observation - observing people in setting or task enviornment without interviewing; objective method of assessing behaviour without self-report bias. Establishes baseline behaviour that modifications and further research can stem from.
- Case Study - biographical information about a single individual, can provide existence proofs about phenomena and can hint as causal relationships
- Surveys/Self report - structured set of questions that can quanitfy introspective insights
- Correlaitonal - quantify or measure the statistical strength between two variables, from observational data, cannot infer causality
- Experimental - Random allocation of people to groups which differ in only one variable (single systematic difference) to test for observable causality within a relationship
A variety of methologies are used to provide converging evidence for a theory, especially in experimental research designs are inefficient or unethical
Sigmund Freud
- Not scientific/scientifically tested, more philosophical
- Explore significance of unconsciousness (the ID wants stuff, the Super ego cares about rules and rationality, the Ego balances the two)
- focus on therapy/psychodymanic psychology - talk through problems to understand and come to terms with them
Features of a Science
- Grounded in Observation and Data
- Cumulative - base of knowledge grows and is refined over time
- Self-Correcting - errors or misconceptions are (eventually) excised
- Achieves Explanation and Understanding - singular theory can account for multitude of findings
The Scientific Method
Observation (Data) –> Explanation (Theory) –> Prediction (Hypothesis) –> back to observation/data
Critical Thinking and Judgement
- Judgements about quality of data - reliability and validity
- Judgements about adequecy of theory - must be general, testable, predict novel observations or retrospective, falsifiability, parsimonious (the simplest explanation that explains all observations), rule out other theoretical intepretations/alternative explanations
- Judgements about alternative explanations - correlation vs causation, unnaccounted-for variables
Quantitave Measurement
- Numerical value of a measure makes it objective
- allows for comparison of different individuals or the same individual over time
Samples vs Populations
- make conclusions about sample to make generalisations about population
- what might be true of the population/sample, may not be true of the individual
- samples may not match
Uncertainty
- probability of results being caused by chance; certainty that changes in the dependent variable were caused by the independent variable
- false positive effect; false negative
- 5% statistical significance
Paradigms
Paradigms are frameworks for understanding and investigating phenomena. They define conepts used in theories, research questions and methodologies to attain data. They provide a template and set of background assumptions. Example: Miasma and Germ Theory
Behaviourist Paradigm
- Root metaphor: Blank slate - behaviours are completely determined by enviornment
- Key concepts: reinforcement and learning
- claims internal unobservable phenomena cannot justify scientific conclusions
- Radical behaviourism: external environmental factors are a determinant of both observable and unobservable behaviours (behaviour expanded to included thoughts and feelings as well)
Cognitive Paradigm
- Root Metaphor: Computer
- mental events and process influence behaviour, implying there is a layer of interpretation (cognition) between stimuli and behaviour
- Key concepts: Mental representations and mental states - focus on the unobservable mental processes (attention, memory, decision making) and their observable effects
Biological Paradigm
- Root Metaphor: Biological Machine
- Behvaiour and mental processs are a result of biological determinants
- Key Concepts: evolution, genetics, physiological functions - focus on physiological correlations with behaviours/cognition (brain activity, genetic contribution)
Confirmation bias and research methodologies in decreasing confirmation bias
- People seek information that confirms their beliefs. Epected/favoured events are highlighted, unexpected/unfavourable events are minimised.
- Research methodoloiges impose control and structure over observations, critising all observations and theorised relationships to same extent
Bias
Bias is any factor that affects the data obtained in a study and can comprimise conclusions and theoretical inferences
Sources of Bias
Sampling Bias
* when the study sample does not accurately represent the broader population, comprising generalisability of conclusions
Expectation Effects
* Participants expectations (plcebo effect, hawthorne effect, stereotype threat, demand effects) can be reduced by single-blind research
* Experimentor expectations (rosenthal effects - pygmalion/golem) can be reduced by double-blind research
Operational Definition
* inaccurate representation of theoretical construct through an experiments operation/method
* calls on validity
* different measure align and reflect contructs to different extents