Topic 6 - Correlational Research

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33 Terms

1
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what is a bivariate correlation

an association that involves exactly two variables

2
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how do you describe associations between two quantitative variables

using scatterplots and the correlation coefficient r

3
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how do you graph associations when one variable is categorical

a bar graph - shows the mean at the top of the bar

this shows the difference between group averages to see if there is an association (not rlly CC r)

4
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statistical validity of an association claim asks about…

  • factors that may have affected the scatterplot 

  • correlation coefficient r 

  • bar graph

  • difference score that led to your association claim

  • strength/precision of estimate 

  • has it been replicated 

  • any outliers 

  • is there a restriction of range

  • is the association curvilinear

5
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______ effect sizes are more important

larger

6
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____ effect sizes can ______ over many observations

"small”, compound

7
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an r of 0.05 might initially be described as

very small/weak

8
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an r of 0.10 might initially be described as

small or weak

9
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an r of 0.20 might initially be described as

moderate

10
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an r of 0.30 might initially be described as

fairly powerful

11
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an r of 0.40 might initially be described as

unusually large in psych - very powerful or too good (based on a small sample)

12
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a sample statistic will NEVER match…

the population it came from (sampling error) 

other random samples (sampling variability) 

13
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standard error quantifies…

the typical amount we expect a particular sample statistic to vary from the true population parameter

14
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central limits theorem

as long as a sample is large enough (often considered n≥30n), the distribution of its sample means will be approximately a normal distribution, regardless of the shape of the original population's distribution

15
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in simple terms, what is a confidence interval

a single samples best guess about the population’s true value

16
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what is a confidence interval made up of?

a point estimate (the SINGLE best guess within the confidence interval)

upper limit

lower limit

error bars connecting the upper and lower limit

17
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in better terms, what is a confidence interval

a range of plausible values for the population parameter based on our sample data 

18
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what is the BEST definition of a confidence interval

if we were to repeat the sample many times, about 95% of the resulting confidence intervals would contain the true population parameter 

19
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correlational research designs are NOT…

investigating causal claims

experimental

20
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how do i talk about the relationship between two group means

effect size (cohens d)

statistical significance (t-test)

21
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cohen’s d 

the distance between means in standard deviation units

22
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what is a moderator variable

a variable that adds nuance to association claims but does not affect internal validity

23
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which two variables are the most important to establish for an association claim

statistical and construct validity

24
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effect size 

describes the strength of a relationship between two or more variables 

25
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restriction of range

in a bivariate correlation, the absence of a full range of possible scores on one of the variables so the relationship from the sample underestimates the true correlation

26
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curvilinear association

an association between two variables which is not a straight line

as one variable increases, the level of the other variable increases and then decreases etc

can look like a bowl lwk

27
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directionality problem

(in a correlational study) the occurrence of both variables being measured around the same time - making it unclear which variable came first

28
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third-variable problem 

(in a correlational study) the existence of a plausible alternative explanation for the association between two variables 

29
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spurious association

a bivariate association that is attributable only to a systematic mean differences on subgroups within the sample

the original association is not present within the subgroups

30
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if both variables are quantitative in a bivariate correlational study, what graph is used

scatterplot

31
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if one variable is quantitative and the other categorical in a bivariate correlational study, what graph is used

bar graph

32
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what is used to describe the relationship in a scatterplot 

the correlation coefficient r 

33
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what is used to describe the relationship in a bar graph

the difference between the two group means