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48 Terms

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Hypothesis

tentative explanation must be Falsifiable able to be supported or rejected.

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Operational Definition

Clear, precise, quantifiable definition or your variables allows replication and collection of reliable data.

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Qualitative Data:

Descriptive data (eye color)

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Quantitative Data

Numerical data ideal and necessary for statistics.

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Population:

everyone the research could apply to

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Sample:

the people (or person specifically chosen for your study

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Correlation:

identify relationship between two variables

adv: useful when experiments are unethical

dis: correlation does not equal causation

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Directionality Problem:

which direction does the correlation go? depression can cause low self esteem, low self esteem causes depression, or a 3rd variable 3

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3rd variable:

different variable responsible for relationship (ice cream and shark attacks) Possitive correlation:

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Positive Correlation

Variable increases and decreases together.

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Negative correlation

as one variable increases the other decreases

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Experiments

Purposefully manipulate variables to determine cause and effect.

adv: only type that establishes cuase and effect

dis: can be unethical too artifical

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Independent Variable

purposefully altered by researcher to look for effect

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Experimental Group

Receive the treatment (part of the 4) can have multiple experiment groups.

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Control Group:

Placebo, baseline (part of the 4) can only have 1.

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Dependent Variable:

measured variable (is DEPENDENT on the INDEPENDENT variable)

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Placebo Effect:

any observed effect on a behavior. that is caused by the placebo shows effectiveness of experiment treatment. Usually fixed with blinded studies

you believe it will work then it will work.

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Double Blindness:

Experiment where neither the participant or the experiment or are aware of which condition people are assigned to (drug studies)

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Singe Blindness:

only participant is blind used if experimenter can’t be blind (gender, age etc)

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Confound

error flaw in study that is accidentally introduced (can be called a confounding variable)

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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) allows you to say cause and effect.

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Naturalistic observation

observe people in their natural settings. Adv: real world validity

dis: no cause and effect

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Case study

studies one person usually in great detail

adv: collects a lot of info

dis: no cause and effect

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Meta Analysis

Combines multiple studies to increase sample size and examine effect sizes.

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Descriptive Stats:

show shape of the data

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Mean

Average: use in normal distibution

a measure of central tendency that represents the typical value in a dataset.

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Median:

Middle number use in skewed distribution

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Mode:

occurs most often

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Bimodal:

has two modes: usually indicates good bad sources

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Skews

created by outlers

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Negative skews

mean is to the left (negative side) mode is to the right

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Positive skew

mean is to the right

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Range

Distance between smallest and biggest number

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Standard Deviation

average amount the scores are spread from the mean

(bigger number = more spread)

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Inferential Statistics

establishes significance (meningfulness)

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Statisrical Significance

results not due to chance experiment manipulation caused the difference in means

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Effect size

data has practical sigificance - bigger = better

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confidentiality

names kept secret

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informed consent

must agress to be part of study

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informed assent:

Minors And their parents must agree

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Debreifing

must be told the true purpose of the study (done after for deception)

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Deception

when you dont tell the whole truth based on the experiment

must be warrented

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Harm

There must be NO harm mentally and physically

short term is okay but not long term

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surveys

usually turned into correlation. subject to self report bias

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self report bias

errors when collect surve data

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social desirability

people lie to look good

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wording effct

the way questions are worded can impact your answers

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random sample

method for choosing partciapants for your study