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Empirical Evidence
Information gathered through direct observation and measurement
provides objective data
- ex: measuring reaction times in cognitive experiments
Systematic Observation
Structured and controlled methods of data collection
ensures reliability & reduces bias
Replication
Repeating studies to verify findings
establishes confidence in results
Peer Review
Expert evaluation of research before publication
maintains quality standards in research
The Research Process
Observation & question formation
Literature Review
Hypothesis Development
Research Design
Data Collection
Statistical Analysis
Interpretation & Conclusion
Dissemination
Observation and Question Formation
Researchers begin by observing behavior/ mental processes that spark curiosity or challenge existing theories
Literature Review
Examining existing research to understand what is already known and identify gaps in knowledge
Hypothesis Development
Creating testable predictions based on theoretical frameworks and previous findings
Research Design
Selecting appropriate methods to test hypotheses while controlling for confounding variables
Data Collection
Systematically gathering information using validated instruments and procedures
Statistical Analysis
Applying appropriate statistical techniques to identify patterns and relationships in the data
Interpretation and Conclusion
Drawing meaningful conclusions while acknowledging limitations and implications
Dissemination
Sharing findings through peer-reviewed publications and professional presentations
Systematic Empiricism
Learning about the world through careful observation
Empirical Questions
A question about the way the world actually is that can be answered by making systematic observations
Public Knowledge
Detailed descriptions of research that are available to other researchers and the general public - usually found in professional journals
Pseudoscience
A set of beliefs or activities that are claimed to be scientific by their proponents and may appear to be scientific at first glance, but are NOT
lacks 1 or more of the three features of science
Testability
Makes specific, testable predictions
pseudoscience = vague/ untestable claims
Evidence
Relies on empirical data & peer review
pseudo = cherry-picked data
Methodology
Uses controlled experiments and systematic observation
pseudo: lacks rigorous methodology/ controls
Falsifiability
Theories can be proven wrong with evidence
Progress
Knowledge builds cumulatively over time
Analytical Reasoning
Breaking down complex problems into manageable components and examining relationships between variables
Evidence Evaluation
Assessing the quality, relevance, and reliability of research findings and data sources
Bias Recognition
Identifying potential sources of bias in research design, data interpretation, and personal judgement
Alternative Explanations
Considering multiple possible explanations for observed phenomena before drawing conclusions
Statistical Literacy
Understanding basic statistical concepts and their appropriate application in psychological research
Ethical Reasoning
Recognizing ethical considerations in research design and application of psychological principles
Establish of first psychology laboratories
Late 1800s → introduced controlled experimentation to psychology
Development of Statistical Methods
Early 1900s → enabled quantitative analysis of psychological phenomena
Emphasis on Operational Definitions
Mid 1900s → improved percision & replicability of research
Introduction of Meta-Analysis
Late 1900s → increased transparency & methodological rigor