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Correlation
A measure of the extent to which 2 factors vary together and how they predict each other
Positive correlation
when two factors move together, indicating a direct relationship between them.
negative correlation
when two factors move in opposite directions, indicating an inverse relationship between them.
Correlational coefficient
A numerical value that represent the strength of a relationship between 2 variables (-1.00 to +1.00)
Negative coefficient
no correlation
Positive coefficient
correlation
First thing to look for to determine the value of a correlational coefficient
It’s sign + or -
Second thing to look for to determine the value of a correlational coefficient
The absolute value (how far is it from zero), to measure the strength of the relationship
Correlation v.s causation
Correlation suggests a relationship but does not prove it
Illusionary correlation
percieving a relationship where none exists
Experiment
research method where an investigator manipulates one or more factors to observe the effect on behavior or mental processes
Experimental group
The group exposed to the treatment
Control group
The group NOT exposed to the treatment
Random assignment
Assigning participants to groups by chance, minimizing pre-existing differences between groups, only used in experimental method
Placebo effect
Experimental results caused by expectations alone
Random assignment v.s random sampling
sample decides who is studied and assignment decides who gets which treatment
Single-blind
participants are blind about whether they are receiving the treatment or placebo
Double-blind
Both participants and researchers are blind about whether treatment or placebo has been recieved
Independent variable
The factor that is manipulated, the variable whose effect is being studied
Dependent variable
The outcome or effect
Confounding variable
A factor other the the one being studied that could influence the results
Experimenter bias
Bias caused when researchers may unintentionally influence reults to confirm their own beliefs
Validity
The extent to which a test or experiment measures or predicts what it is supposed to
Qualitative research
narrative data, not numbers
Quantitative research
numerical data
lab setting benefits
allows psychologists to test theoretical principles in a simplified way
lab setting limitations
it is a simplified, unrealistic version of reality
informed consent
giving potential participants information about a study to allow them to decide if they want to participate
debriefing
post-experimental explanation of a study
confederate
an actor who pretends to be an ordinary participant
descriptive statistics
numerical data used to measure and describe characteristics of groups
Inferential statistics
used to analyze sample data so researchers can make broader conclusions about a larger target
histogram
a bar depicting a frequency distribution
Mean
average
median
middle score
mode
most frequently occurring score
percentile rank
percentage of scores that are lower than a given score
skewed distribution
representation of scores that lack symmetry around average
range
difference between highest and lowest scores in a distribution
standard deviation
computed measure of how much scores vary around average score
normal/bell curve
68%, 95%, 99%
meta-analysis
procedure for analyzing results of multiple studies to reach an overall conclusion
statistical significance
how likely it is that results occurred by chance or were actually real
effect size
the strength of the relationship between variables