Dorothea Dix: Reformed mental institutions in U.S.
Stanley Hall: 1st pres. of APA1st journal
William James: Father of American Psychology – functionalist
Wilhelm Wundt: Father of Modern Psychology – structuralist
Basic research
Purpose is to increase knowledge (rats)
Applied research
Purpose is to help people
Psychologist
Research or counseling – MS or PhD
Psychiatrist
Prescribe medications and diagnose – M.D.
Experiment
Researcher controls variables to establish cause and effect
Difficult to generalize
Independent Variable
Purposefully altered by researcher to look for effect
Independent Variable
Experimental Group: received the treatment (part of the IV); can have multiple exp, groups
Control Group: placebo, baseline (part of the IV); can only have 1
Placebo Effect
Show behaviors associated with the exp. group when having received placebo
Dependent Variable
Measured variable (is DEPENDENT on the independent variable)
Blinding
Double-Blind: Exp. where neither the participant or the experimenter are aware of which condition people are assigned to (drug studies)
Single-Blind: only participant blind – used if experimenter can't be blind (gender, age, etc)
Quasi-experimental design
Random assignment to conditions is impossible (can't randomly assign gender)
Operational Definition
Clear, precise, typically quantifiable definition of your variables – allows replication
Confound
Error/ flaw in study
Random Assignment
Assigns participants to either control or experimental group at random –increase chance of equal representation among groups (spreads the lefties across both groups)
Random Sample (selection)
Method for choosing participants for your study –everyone has a chance to take part, increases generalizability
Assignment and sampling
Can be done via names in a hat, computer generation, etc
Representative Sample
Sample mimics the general pop. (ethnic, gender, age)
Stratified Sampling
If you need to ensure a rep. sample you can separate your population before you sample (ex. make sure get 80% women, 20% men)
Correlation
Identify relationship between two variables
No cause and effect (CORRELATION DOES NOT EQUAL CAUSATION)
Positive Correlation
Variables increase & decrease together
Negative Correlation
As one variable increases the other decreases
Strength of correlation
The stronger the # the stronger the relationship REGARDLESS of the pos/neg sign. Cannot be < or > than 1. Stronger relationships = tighter clusters on graph
3rd variable problem (lurking variable)
Different variable is responsible for relationship (breast implants & suicide)
Illusory correlation
Belief of correlation that doesn't exist (old man predicts rain from arthritis)
Surveys
Usually turned into correlation
Subject to social desirability - ppl lie to look good
Subject to wording effects - how you frame the question can impact your answers
Naturalistic Observation
Real world validity (observe people in their own setting)
No cause and effect
Case Study
Studies ONE person (usually) in great detail – lots of info
No cause and effect
Descriptive Statistics
Shape of the data
Measures of Central Tendency
Mean: Average (use in normal distribution)
Median: Middle # (use in skewed distribution)
Mode: occurs most often
Skews
Neg skew = left skew
Pos skew = right skew
Inferential Statistics
Establishes significance (meaningfulness)
Statistical Significance
Results not due to chance, exp.manipulation caused the difference in means
Ethical Guidelines (IRB Approval Needed for Ppl)
Confidentiality: names kept secret
Informed Consent: must agree to be part of study
Debriefing: must be told the true purpose of the study (done after for deception)
Deceptionmust be warranted
No harm–mental/physical
Psychology is derived from physiology (biology) and philosophy
The Wealth of Nations was written in 1776
In classical economic theory, the word 'rational' means that economic agents are able to consider the outcome of their choices and recognise the net benefits of each one