Chpt 12: Understanding Research Results: Description and Correlation (PSY302) Flashcards

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1
Q

3 basic ways to discrete your results of a study of relationships with between variables:

A

Comparing group percents
Correlating scores of participants on 2 variables
Comparing each group means.

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2
Q

Def: Frequency Distribution

A

a set of scores typically from lowest to highest which indicates the number of times each score was obtained.

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3
Q

Def: Frequency polygons

A

uses a line to represent the frequencies of scores.

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4
Q

Def: Descriptive stats

A

precise statements of data taken from statistical math.

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5
Q

Def: Central tendency

A

a way to value the central score of each set.

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6
Q

Def: Variability

A

the amount of spread in a distribution of scores.

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7
Q

Def: Standard deviation

A

the average deviation of scores taken from the mean.

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8
Q

Def: Variance

A

the square of the SD

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9
Q

Def: range

A

Range: the diff between the highest score and the lowest.

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10
Q

_____ graphs are used when the values on the x axis are __________ categories.

A

Bar, nominal

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11
Q

_____ graphs are used when the values on the x axis are __________.

A

Line, numeric

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12
Q

Choosing the scale for a bar graph allows a common __________ that is sometimes used by scientists and often used by advertisers.

A

manipulation

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13
Q

Def: Correlation coefficient

A

a stat that describes how strongly variables are related to one another.

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14
Q

Def: Pearson product moment correlation coefficient

A

used when both variables have interval or ratio scale properties; called the Pearson r.
Provides info abt both the strength & the direction of the relationship.
Values can range from 0 to 1.00.
Results can be described visually using a scatter plot where each pair of scores is shown as a single point on a diagram.

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15
Q

If the range of possible value is __________, the magnitude of the correlation coefficient is _________.

A

restricted, reduced

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16
Q

Def: Restriction of range

A

an issue when scores on a variable are limited to a small subset of their possible values, making it more difficult to identify relationships for the variable to other variables of interest.

17
Q

The Pearson product r is designed to detect only _____ relationships.

A

linear

18
Q

If the relationship is curvilinear, the correlation coefficient will ____ indicate the existence of a relationship.

A

not

19
Q

Def: Effect size

A

Effect size: the strength of association between variables.

20
Q

The Pearson r correlation coefficient is one indicator of effect size; it indicates the strength of the linear association between 2 variables.
Small effects are near_______
Medium moderate effects are near ______
Large effects are above r = 50
Squared value of the coefficient r squared transforms the value of r to a ___________.

A

r=10, r = 30, percentage

21
Q

Reporting effect size provides a scale of ______ that is __________ across all types of studies.

A

values, consistent

22
Q

Def: Regression equations

A

Regression equations: calcs used to predict a person’s score on one variable when that person’s score on another variable is already known.
Y=a+bX where Y is the score we wish to predict, X is the score that is known, a is a constant, and b is the adjustment factor

23
Q

To predict a future behavior (criterion variable) on the basis of one’s score on some other variable. It’s necessary to demonstrate that there is a reasonably _______ correlation between the 2.

A

high

24
Q

Def: Multiple regression

A

Multiple regression: used to analyze the relationship between a criterion variable & more than one predictor variable.

25
Q

Def: Multiple correlation

A

the correlation between a combined set of 2(+) predictor variables & a single criterion variable.
Symbolized as R

26
Q

In research, a mediating variable is hypothesized to be intervening between variable ___________

A

X and Y

27
Q

In a mediation model, the independent or predictor variable affects a ________ variable. The mediating variable then affects the dependent or ________ variable.

A

mediating, criterion

28
Q

In research, a moderating variable changes or ______ the relationship between variable X and Y

A

limits

29
Q

The 2 terms, moderation and interaction, developed from diff research traditions, but they mean essentially the ___________ when you interpret research findings.

A

same thing

30
Q

When experimental research is properly designed, there’s no ___________ issue bc all extraneous variables are controlled, either by keeping the variable constant or by using ____________

A

3rd variable, randomization

31
Q

Multiple _______ can be used to statistically control l for the effects of the 3rd variables.

A

regression

32
Q

Def: Structural equation modeling (SEM)

A

Structural equation modeling (SEM): statistical techniques to evaluate a proposed set of relationships among variables.
After data has been collected, statistical methods can be applied to examine how closely the proposed model actually fits the obtained data

33
Q

Researchers typically present path diagrams to visually represent the models being _____.
These show the theoretical ________ paths among the variables.

A

tested, causal