EP Test 1 Flashcards
Principles of Psychology (4)
- determinism
- empiricism
- parsimony
- testability
Determinism
events have logical causes
Empiricism
observation is the key to learning
Parsimony
the simpler the better
Testability
theories must be testable
Logical Positivism
knowledge must be based on what we can observes with complete certainty
Descriptive Studies
describe variable
Correlational Studies
predict one variable using another
Experimental Studies
explain the relationship between variables
Operational Measures
an indirect way to measure abstract concepts
Ways of Knowing (4) - least to most reliable
- authority figures
- intuition
- logic
- observation
Deductive Reasoning
general -> specific
Inductive reasoning
specific -> general
Law
Universal statement about the nature of something
Theory
statement about the relationship between variable
Hypothesis
specific predictions derived from theories
Validation
attempt to gather information to support hypothesis
Falsification
attempt to refute hypothesis
Qualification
attempt to identify boundaries or limitations
Positive Test Bias
confirmation bias (you see what you expect to see)
p-value
(significance level) the probability that findings result from chance or random error
How to lower p-values
greater sample size; greater difference between groups
Type I Error
incorrectly rejecting the null hypothesis (rejecting the null hypothesis when it is true)
Type II Error
failing to reject an incorrect null hypothesis (no rejecting null hypothesis when it is false)
Boundary conditions
limitations of theories
Case study
descriptive study that examines an individual or group
Census
study using data from every member of the population
Random Sampling
everyone has an equal chance of being selected
Cluster sampling
breaking down the population into clusters then selecting
Stratified Sampling
sampling based on certain subgroups
Convenience Sampling
sampling based on whatever subjects are nearest/most convenient
Best Fit Line
Positive slope = positive correlation
Negative slope = negative correlation
Flat line = no correlation
Positive correlation
as X increases/decreases, Y also increases/decreases
Negative Correlation
as X increases/decreases, Y decreases/increases
Questionnaires/Interviews
self-reporting
Archival Analysis
using preexisting data
Observational Research
real behavior in a natural setting
Validity
accuracy
Reliability
consistency
Construct Validity
Is the operational definition a good one? Does it measure the abstract concept?
Assessing Construct Validity (4)
- face validity
- content validity
- convergent validity
- discriminant validity
Face validity
does it seem to measure the concept?
Content validity
does it cover the entire range of the construct?
Convergent validity
does it correlate with other variables that measure the concept?
Discriminant validity
does it discriminate between similar constructs?
Internal Validity
extent to which the study design allows us to conclude causality
External Validity
extent to which study is generalizable
Internal Reliability
consistency of scale/measure
Interrater Reliability
consistency among judges
Test-Retest Reliability
consistency between trials/over time
Random Errors
chance fluctuations in measurement
Systematic Errors
nonrandom fluctuations in measurement
Nominal
categorical data (arbitrary)
Ordinal
data that classifies and ranks
Interval
data that classifies, ranks, and has standardized relative distances
Ratio
data that classifies, ranks, has standardized relative distances, and a true 0 (meaning a lack of)