correlational research Flashcards

1
Q

whats the difference between a predictor variable and a criterion variable

A

predictor variable is generally the independent variable, and the criterion variable is general the dependent variable

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2
Q

what are the three characteristics that a correlational coefficient describes

A

the direction, form, and strength of a relationship

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3
Q

whats the difference between quantitative and categorical variables

A

quantitative have meaningful, numerical value such as scores on rating scales

categorical are distinct categories based on qualitative differences

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4
Q

which correlational coefficient is used for two variables at the ratio or interval level

A

pearsons r

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5
Q

which correlational coefficiant is used for two variables at the ordinal level

A

spearman rank-order r

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6
Q

which correlational coefficient is used when there is one dichotomous (2 categories) variable

A

point-biserial r

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7
Q

what test do you use if both variables are non-numerical

A

chi square test

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8
Q

The likelihood that the sample’s
association came from a population
in which there is no association

A

p value

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9
Q

The magnitude, or strength, of a relationship between
two or more variables

A

effect size

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10
Q

what is the coefficient of determination

A

the squared value of a correlation

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11
Q

what is the coefficient of determination used for

A

it measures the percentage of variability in one variable, determined or predicted by its relationship to the other variable

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12
Q

what are the strengths of correlational research (3)

A
  1. describes relationships
  2. nonintrusive
  3. high external validity
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13
Q

what are the weaknesses of correlational research (4)

A
  1. cannot assess causality
  2. third variable problem
  3. directionality problem (dont know which effects the other)
  4. low internal validity
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14
Q

what are outliers

A

an extreme or highly unusual score. highly deviant from the rest of the data

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15
Q

what are the two types of outliers

A

online outliers and offline outliers

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16
Q

what do online outliers do to the correlation coefficient

A

they inflate the correlation coefficient

17
Q

true or false: offline outliers inflate the correlational coefficient

A

false, they weaken the relationship

18
Q

how do you detect outliers

A

scores that are + or - 3 standard deviations from the mean, or median absolute deviation

19
Q

how do you handle outliers

A

either remove from the dataset before inferential stat analysis, or keep it in but recode with values equal to 3 SDs from the mean

*must be reported

20
Q

what is restriction of range

A

a sample under study does not include full range of variables

21
Q

a statistical procedure for studying multivariate relationships

A

multivariate regression

22
Q

Statistical analysis that computes the relationship between the predictor variable and the criterion variable, controlling for other predictor variables.

A

multiple regression/multivariate regression

23
Q

Holding a potential third variable constant, statistically or
experimentally, when investigating the relationship between
two other variables

A

controlling for third variable

24
Q

what does it mean to control for a third variable

A

finding the unique overlap between the predictor and criterion of interest; removing proportion of variability that can be explained by third variable

25
what is β (beta) in multivariate regression
a standardised regression coefficient that can compare relative strength from the same regression analysis
26
Statistical process of finding the linear equation
regression
27
whats the difference between beta and b
beta is standardised, b is not. b also cannot compare within the same analysis like beta
28
true or false: beta uses golf rules. the smaller the beta, the stronger predictor it is
false, the larger the beta the stronger the predictor
29
Variable that helps explain the relationship between the predictor and criterion
mediator
30
whats the difference between a mediator, a moderator, and a third variable
mediator explains the relationship, moderator controls the level of the relationship, third variable is external and needs to be ruled out
31
examines development by observing or measuring a group of cohorts over time
longitudinal developmental research
32
- Whether two variables measured at the same point in time are correlated - Cannot establish temporal precedence
cross-sectional longitudinal correlations
33
what are autocorrelations
the correlation of each variable with itself across different time points. is it consistent over time?
34
Correlation between an earlier measure of one variable with a later measure of the other variable (Correlation between X at time 1 and Y at time 2)
cross-lag correlations