1/38
Looks like no tags are added yet.
Name | Mastery | Learn | Test | Matching | Spaced |
---|
No study sessions yet.
Independent Variable
what you change in an experiment (ex: changing how much sleep students get to see how it affects test scores)
Dependent Variable
what you measure (the results) (ex: measuring students' test scores)
Random Assignment
randomly putting people into groups (ex: flipping a coin to decide who gets the new medicine)
Random Sample
Randomly picking people to study (ex: picking 100 students from a school at random for a survey)
Confounding Variable
Extra things that could mess up results (ex: students drinking coffee before a sleep experiment)
Correlation & Causation
2 things are related but one doesn't cause the other (ex: Ice cream sales & drowning deaths both rise in summer, but ice cream doesn't cause drowning)
Statistical Significance
results is likely real, not due to change (ex: a drug study shows big improvement with p-value < 0.05)
Placebo Effect
feeling better bc/ you think you got treatment (ex: taking a sugar pill but feeling less pain)
Control Group
the group in an experiment that does not receive the test variable
Positive Correlation
a relationship where if one variable increases, the other does too
Negative Correlation
a relationship where if one variable increases, the other decreases
Mean
average ((2+4+6)/3 = 4)
Median
middle number (In 1, 3, 5 — median is 3)
Mode
Most common number (In 2, 2, 3, 4 — mode is 2)
Standard Deviation
how spread out numbers are (small deviation = scores are close together)
Positive Skew
Tail points right (high side) (Most people score low, a few score super high)
Negative Skew
Tail points left (low side) (Most people score high, a few score really low)
Normal Distribution
Bell-shaped curve (Most students get a C on a hard test; few get As or Fs)
Correlation Coefficient (r value)
number showing strength of relationship (r = 0.8 means a strong positive relationship)
Biological Perspective
Behavior is from body and brain (ex: depression caused by low serotonin)
Behavioral Perspective
Behavior is learned (ex: a child is polite because parents reward good manners)
Cognitive Perspective
Behavior is from thinking (ex: believing you're bad at math makes you avoid math)
Humanistic Perspective
People want to grow and succeed ( ex: therapy helps people discover their best self)
Psychodynamic Perspective
Behavior is from unconscious and childhood (ex: fear of dogs because of a forgotten childhood bite)
Sociocultural Perspective
Behavior is from society and culture (ex: being more emotional in a culture that values expressing feelings)
Evolutionary Perspective
Behavior helped ancestors survive (ex: fear of snakes because it helped early humans stay alive)
Biopsychosocial Perspective
Behavior = biological + mental + social (ex: depression explained by brain chemistry, bad thoughts, and stressful life events)
Hindsight Bias
"I knew it all along" feeling (ex: saying "I knew they would break up!" after they do)
Confirmation Bias
Only noticing info that supports you (ex: only reading news that matches your opinions)
Social Desirability Bias
Giving "good" answers to look better (ex: lying on a survey saying you recycle more than you do)
Third Variable Problem
A third thing actually causes it (ex: ice cream sales and sunburns are both caused by hot weather)
Ethics
-informed consent
-confidentiality
-deception
-debriefing
-IRB approval
Empirical Evidence
Based on experiments and data (ex: proving a new therapy works through real experiments)
Validity
Measuring what you say you're measuring (ex: a math test actually measuring math skills, not reading ability)
Scatterplot
A graph showing relationships (ex: scatterplot of studying hours vs. GPA)
Regression to the Mean
Extreme values tend to move closer to the average later (ex: a student scores super high on one test but gets a more average score on the next one)
Percentile Rank
The percentage of scores lower than a specific score (ex: if you're in the 90th percentile on a test, you scored better than 90% of people)
Bimodal Distribution
A data set with two clear peaks or modes (ex: a survey about favorite ice cream flavors shows two big groups: one loves chocolate, one loves vanilla)
Effect Size
How strong the relationship is between two variables (ex: a study finds a big effect size between studying more hours and getting better grades — studying really helps!)