phenomenon: A general result observed in empirical research with established answers
theory: An explanation of phenomena including unobserved variables or principles
theoretical framework: Context applied to understand a phenomenon
parsimony: Theory should include only necessary concepts for explanation
purpose of theories: Organize phenomena to help people think about them clearly and efficiently, allow to make predictions, generate new research and new questions
formality: Clarity and detail in specifying theory components and relationships
formal theories: more difficult to create and understand- sometimes requiring a certain amount of mathematical or computer programming background - but more precise in their predictions and therefore easier to test
informal theories: easier to create and to understand but less precise in their predictions (makes it more difficult to test)
scope: Number and diversity of explained phenomena by a theory
theoretical approach: Types of theoretical ideas used in constructing theories
functionaltheories: Explain phenomena based on function or purpose
mechanistictheories: Focus on specific variables and processes producing phenomena
stage theories: Specify stages individuals pass through in development or adaptation
typologies: Organize people or behavior into specific types
Hypotheticodeductive method: Method starting with phenomena, constructing theory, making predictions, and testing
models: Precise explanations for specific phenomena
perspectives: Broad approaches to explaining phenomena
workingtruths:Theories that are modified based on testing hypotheses
direct replication: Repeating a study to see if the same results are obtained
conceptual replication: Using different methods to test the same research question
replication crisis: Challenges in replicating research findings
incentives to publish:
Academics are rewarded for publishing (with jobs, grants, tenure, respect etc) which can motivate people to take shortcuts
questionable research practices:
Little ways to adjust your design, analysis and reporting so that you can boast the desired effect p <.05
p value:
The probability that you would get these results if the null hypothesis were true
specific QRPs: measure the dependent variable in different ways, gradually add more observations, add or drop covariates, add or drop experimental conditions
measure the independent variable in different ways: measure age in years, months and only report the one that works
gradually add more observations: keep adding participants until you see what you like
add or drop experimental conditions: some participants also listened to another song - but doesn't fit so it isn't used
false positives: incentives, QRPs, file drawer problem
false positives: Incorrectly identifying a result as significant
open science movement: Promotes transparency and reproducibility in research