Chapter 2 Flashcards
Facts
Observable realities established using evidence collected through empirical research
Opinions
Personal judgements that may or may not be accurate
Deductive Reasoning
Ideas are tested in the real world
Begins with a hypothesis that is used to reach logical conclusions about the real world (if the hypothesis is correct then the conclusion is also correct)
If hypothesis is incorrect conclusion can be logical but also incorrect
Used to test hypotheses
Inductive Reasoning
Real-world observations lead to new ideas
Uses empirical observations to construct broad generalizations
Conclusions may or may not be correct regardless of the observations they are based on
Used to formulate theories
Theory
Well-developed set of ideas that propose an explanation for observed phenomena
Hypothesis
Testable prediction about how the world will behave if our idea is correct
Bridges gap between theory and real world
Falsifiability
Capability of being shown to be incorrect
Case Study
Also known as clinical study
Observational research focused on one or a few individuals
Gather a wealth of information but low generalizability
Naturalistic Observation
Observing behaviour in its natural setting
High external validity / ecological validity / realism
Generalizing
The ability to apply the findings of a particular research project to the larger population is a whole
Observer Bias
Skewing observations to fit the research goals/expectations
Inter-rater Reliability
Also known as inter-observer reliability
Assessment of the consistency of observations by different researchers
Surveys
Lists of questions to be answered by research participants
Sacrifices depth of information for large sample size and higher generalizability
Sample
Subset of individuals selected from a population
Population
Overall group of individuals that the researchers are interested in
Archival Research
Using existing records to answer various research questions
Longitudinal Research
Research design where data is collected repeatedly over a long period of time
Cross-sectional Research
Researcher compares multiple segments of the population at the same time
Attrition Rate
Reduction in the number of research participants due to drop outs
Correlation
A relationship between two or more variables (does not imply cause and effect)
Correlation Coefficient
A number that indicates the strength and direction of the relationship between variables
Confounding Variable
Unanticipated outside factor that affects both variables of interest
Cause and Effect Relationship
Changes in one variable cause changes in the other variable
Can be determined only using an experimental study
Illusory Correlations
False correlations
When people believe that a relationship exists between two variables when it does not