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Research Comps > Statistical Analyses > Flashcards

Statistical Analyses Flashcards

1
Q

Pearson Correlation

A

Used to determine the extent of the linear relationship between 2 variables

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2
Q

How many IVs and DVs with a Pearson Correlation

A

0 IV
0 DV
Instead, 2+ variables (measured on the same people)

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3
Q

Independent Groups t-test

A

determines relationship between an IV with 2 levels and a DV with interval characteristics

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4
Q

Independent Groups t-test # of IVs and DVs

A

1 IV - between subjects, 2 levels

1 DV - interval characteristics

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5
Q

Correlational Groups t-test

A

determines relationship between an IV with 2 levels and a DV with interval characteristics

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6
Q

Correlational Groups t-test # of IVs and DVs

A

1 IV - within subjects, 2 levels

1 DV - interval characteristics

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7
Q

One-way ANOVA

A

determine a relationship between IV with more than 2 levels and a DV

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8
Q

One-way ANOVA # of IVs and DVs

A

1 IV - between subjects, 3 or less levels

1 DV - interval characteristics

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9
Q

One-way repeated-subjects ANOVA

A

determine relationship between IV with 3 or less levels and DV but single group receives all conditions of interest

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10
Q

one-way repeated-subjects ANOVA # of IVs and DVs

A

1 IV - within subjects, 3 or less levels

1 DV - interval characteristics

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11
Q

Tukey HSD test

A

post-hoc test used after null hypothesis has been rejected to determine the nature of the relationship between variables
(planned contrast is considered more appropriate)

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12
Q

Two-way (factorial) between-subjects ANOVA

A

involves 1 DV and 2 or more IVs with 2 or more levels

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13
Q

Two-way (factorial) between-subjects ANOVA # of IVs and DVs

A

IVs - 2 or less, between subjects

DV - 1, interval characteristics

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14
Q

Two-way (factorial) repeated measures ANOVA

A

involves 1 DV and 2 or more IVs with 2 or more levels but single group receives all conditions of interest

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15
Q

Two-way (factorial) repeated measures ANOVA

A

IVs - 2 or less, within subjects with 2 or less levels

DVs - 1, interval characteristics, variables

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16
Q

One-way between subjects ANCOVA

A

assess the influence of 1 IV on 1 DV after effects of 1 or more covariates have been removed

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17
Q

One-way between subjects ANCOVA # of IVs and DVs

A

IVs - 1, 2 or less between subjects
DVs - 1, interval characteristics
Covariate - 1 or more

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18
Q

One-way repeated measures ANCOVA

A

assess the influence of 1 IV on 1 DV after the effects of covariates is removed

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19
Q

One-way repeated measures ANCOVA # of IVs and DVs

A

IVs - 1, within subjects, 2 or less levels
DVs - 1, interval characteristics
Covariates - 1 or more

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20
Q

Two-way (factorial) between-subjects ANCOVA

A

assess influence of 1 IV on 1 DV after effects of covariates removed

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21
Q

Two-way (factorial) between subjects ANCOVA # of IVs and DVs

A

IVs - 1, between subjects, 2 or more levels
DVs - 1, interval characteristics
Covariates - 1 or more

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22
Q

Two-way (factorial) repeated-measures ANCOVA

A

assess influence of 1 IV (within groups) on 1 DV after effects of covariates have been removed

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23
Q

Two-way (factorial) repeated-measures ANCOVA # of IVs and DVs

A

IVs - 1, within subjects, 2 or more levels
DVs - 1, interval characteristics
Covariates - 1 or more

24
Q

One-way between subjects MANOVA

A

relationship between 1 IV and 2+ DVs

25
Q

One-way between subjects MANOVA # of IVs and DVs

A

IVs - 1, between subjects, 2+ levels

DVs - 2+, interval characteristics

26
Q

One-way repeated measures MANOVA

A

relationship between 1 IV (within subjects) and 2+ DVs

27
Q

One-way repeated measures MANOVA # of IVs and DVs

A

IVs - 1, within subjects, 2+ levels

DVs - 2+, interval characteristics

28
Q

Two-way (factorial) between subjects MANOVA

A

relationship between 2+ IVs and 2+ DVs

29
Q

Two-way (factorial) between subjects # of IVs and DVs

A

IVs - 2+, between subjects, 2+ levels

DVs - 2+, interval characteristics

30
Q

Two-way (factorial) repeated measures MANOVA

A

relationship between 2+ IVs (within subjects) and 2+ DVs

31
Q

Two-way (factorial) repeated-measures MANOVA

A

IVs - 2+, within subjects, 2+ levels

DVs - 2+, interval characteristics

32
Q

One-way between subjects MANCOVA

A

relationship between 1 IV and 2 DVs after adjusting for covariates

33
Q

One-way between subjects MANCOVA # of IVs and DVs

A

IVs - 1, between subjects, 2 or more levels
DVs - 2, interval characteristics
Covariates - 1+

34
Q

One-way repeated measures MANCOVA

A

relationship between 1 IV (within subjects) and 2 DVs after adjusting for covariates

35
Q

One-way repeated measures MANCOVA # of IVs and DVs

A

IVs - 1, within subjects, 2 or more levels
DVs - 2, interval characteristics
Covariates - 1+

36
Q

Two-way (factorial) between subjects MANCOVA

A

relationship between IVs and DVs after adjusting for covariates

37
Q

Two-way (factorial) between subjects MANCOVA # of IVs and DVs

A

IVs - 2+, between subjects, 2+ levels
DVs - 2, interval characteristics
Covariates - 1+

38
Q

Two-way (factorial) repeated measures MANCOVA

A

assessing influence of IVs (within subjects) on DVs after adjusting for covariates

39
Q

Two-way (factorial) repeated measures MANCOVA # of IVs and DVs

A

IVs - 2+, within subjects, 2+ levels
DVs - 2, interval characteristics
Covariates - 1+

40
Q

Standard Multiple Regression

A

assesses relationship between IVs and DVs though IVs can be continuous
all IVs entered at once but each assessed as it if had been entered last
each IV evaluated in terms of what it adds to the prediction of the DV

41
Q

Standard Multiple Regression # of IVs and DVs

A

IVs - 2+, continuous or discrete

DVs - 1, continuous

42
Q

Sequential (hierarchical) Multiple Regression

A

Assesses relationship between IVs and DVs though IVs can be continuous
IVs entered in an order specified by the researcher
order assigned according to logical or theoretical considerations (based on hypothesis or past research)
each IV assessed in terms of what it adds to the equation at its own point of entry

43
Q

Sequential (hierarchical) Multiple Regression # of IVs and DVs

A

IVs - 2+, continuous or discrete

DVs - 1, continuous

44
Q

Path Analysis

A

extension of Multiple Regression
test models of causal relationships among variables, specify and test models of causal relationships among variables
estimate direct and indirect effects

45
Q

Goals of Path Analysis

A

understand patterns of correlations among the regions and explain as much of the regional variable as possible with the model specified
focus is on the entire model (reject, modify, or accept)

46
Q

Endogenous Variables

A

In path analysis
those variables modeled as dependent on other variables
all arrows point away

47
Q

Exogenous Variables

A

In path analysis
those not dependent on other variables
arrows point to it

48
Q

Structural Equation Modeling

A

per Ullman, 2001:

described as a combination of exploratory factor analysis and multiple regression

49
Q

Manifest Variables

A

In SEM - serve as indicators of the underlying construct represented by the observable variables

50
Q

Latent Variables

A

usually theoretical constructs that cannot be observed directly

51
Q

Discriminant Function Analysis

A

describes major differences among groups following a MANOVA analysis
Predict/classify subjects into groups based on a combination of measures
Examines the capacity of multiple variables to distinguish groups

52
Q

Factor Analysis

A

used to identify underlying factors responsible for covariation among independent varables

53
Q

Steps in factor analysis

A

choice of variables
selection of the proper number of factors to retain
method of rotation

54
Q

What is the citation for research designs?

A

Mertler and Vaneeta, 2013

55
Q

What is involved in a two-way mixed model ANOVA?

A

At least 1 within and 1 between subjects with an IV
2 or more IV’s
1 DV

56
Q

What is the purpose of the mixed model ANOVA?

A

Used to test for differences between two or more independent groups whilst subjecting participants to repeated measures.

Research Comps (3 decks)

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