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Psychology Toolbox
research design
data analysis
random factors
100

a bell curve represents

what is a normal distribution

100

What is the IV

independent variable: the variable being manipulated

100

research that uses numerical data

quantitative

100

comparing the mean scores between two non associated samples

independent t - test

100

testing the same participants at multiple time points

within subjects design

200

in a normal distribution where do most of the scores fall

closest to the mean

200

what is the DV

dependent variable: variable being measured

200

prediction about an experimental outcome

hypothesis

200

paired sample t-test is

a test that compares the mean scores between two related samples

200

p=0.75

not significant

300

mean, mode and median are are measures of what

central tendency

300

the consistency of a psychometric measure is? 

reliability

300

a prediction that there will be no significance differences between groups

null hypothesis

300

conducting a test where different groups of participants are exposed to different experimental conditions is __________

same participants exposed to multiple conditions _____________

between subjects design : within subjects design

300

interpret 3*(3*3)

mixed design

IVs 3

levels 3, 3 & 3

conditions 27

400

Z score is an example of what?

a standardised score

400

how well a psychometric measure tests what it is meant to test?

validity

400

main issue with conducting Laboratory observational research

ecological validity: can results be generalised outside of the lab

400

what is a one way ANOVA?

analysis of variance: tests 2 or more groups between subjects design

400

interpret each part of this: 

F (1, 22) =1.29, p=.268

F: ANOVA out put test

(df groups,df participants)

F statistic

P value

500

95% of the population fall between what z scores below and above the mean

-1.96 to 1.96

500

research that does not use numerical data

qualitative

500

what research design would i use if i want to look at the effect that hours of study has on exam results

correlational design

500

repeated measures ANOVA

within subjects analysis of variance: tests same participants at multiple time points or with multiple conditions

500

what is a p value

a number calculated from a statistical test that allows you to determine how likely you are to have found a particular set of observations 

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