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institutional review boards (IRB)
panels of at least 5 people who screen the research
The Need for Statistics
the tools that allow researcher to interpret results of data
Descriptive Statistics
central tendencies. Numerical data that describes characteristics of info
Use of Histogram
bar graphs used to visually display stats
Two types of descriptive statics
Measures of Central Tendency and Measures of Variation
Measures of Central Tendency
single score meant to represent a lot
modest
: most frequently seen
Ethical Guidelines for animal research
1. Minimize discomfort
2. Institutional review board
ethical guidelines for human research
i. Informed consent: cannot trick you it is illegal
ii. Protection from harm: can't be harmed without consent or knowledge or intent
iii. Information kept confidential: can't give out info
iv. Fully debriefed: at the end they must fully debrief what they did, explain everything.
is deception necessary sometimes in experiments?
yes
Mean
Average (add up all numbers then divide by the number of numbers) skewed the most by outliers
median
Middle number
percentile rank
the percentage of scores below a specific score in a distribution of scores
skewed distribution
when data is being impacted by outliers (outliers are data that differs significantly from the majority)
no skews
symmetric!
positive skews
long tail on the left side, peaks in the left
negative skews
long tail on the right side, peaks on the right
outliers
numbers that differ significantly from the majority
bimodal distribution
2 modes, a distribution of scores with 2 modes/2 peaks, two high points.
Correlational Studies:
research that determines the extent two variables impact the other
Correlate:
( how much youre at school and gpa)
Variables:
anything that can be changed or varied) how do the two variables correlate. (not being manipulated just studied
scatterplots
graph that visually shows how two variables correlate.
types of correlation
positive, negative, none
positive
slope up
negative
slope down
none
none of the dots are clustered together in a slope
correlation coefficient
a. the number that shows the strength of the relationship between two variables
r value
shown as values between -1 to 1, +.8 or -.8 (never +1.2 or -1.2
Correlation strength
I. the closer to 1 the stronger the relationship exists between the two variables.
high correlation
closer to one
low correlation
far away from one
regression to the mean
I. : mean = average (all info divide it in half) (an athlete has an amazing game. In following games, the athlete returns to normal performance) (a students scores much lower than normal on a test. On future tests the student's scores return to their average)
CORRELATION DOES NOT PROVE CAUSATION
IT ONLY SHOWS THE IS IT CANNOT SHOW THE WHY. THERE MAY BE A THIRD FACTOR. CONFOUNDING FACTOR!!!!
experimentation
I. research method when a researcher manipulates variables to observe the outcome
scientific method
step by step procedure used when conducting scientific research
experimental group v control group
ex: experimented on
cont: left alone
random assignment
I. randomly assigning the participants to the experimental or control group. Helps prevent confounding variables
placebo effect
behavior caused by the administration of an inert substance or condition which the recipient assumes is an active ingredient
placebo
a. harmless medicine or procedure, has 0 effect
procedures used in experiments
single and double blind
single blind
a. the participants are ignorant about who received treatment or procedure
double blind
a. no one in this procedure knows who got the treatment or placebo
independent v dependent variables
in: manipulated
de: studied
confounding variables
I. unacounted for or 3rd variable that may influence the results of the study. Random assignment is used to prevent this
validity v reliability
test measures what it should v. same scores on a retest