W9: Data Analysis III Flashcards

1
Q

What is the F ratio in an ANOVA test statistic?

A

F compares 2 estimates of variability (between and within )

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2
Q

What does ANOVA examine?

A

variability of samples

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3
Q

When is Vb greater than Vw (ANOVA table)?

A

if there is a significant difference between groups

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4
Q

The larger the F value, the greater the ratio between __ to __?

A

the greater the ratio between Vb to Vw; higher F means lower P

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5
Q

What is the F distribution used for?

A

to test hypotheses about population variances; defined mathematically (and theoretically based)

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6
Q

Do people of different age groups differ in number of hours of TV watched per day?
F = 8.903 at p< 0.001
Accept or reject null hypothesis?
Conclusion?

A

reject null hypothesis
Conclusion: there is a difference between age groups for TV hours watched

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7
Q

What is a post hoc test? When is it used?

A

tells you which variables are different from one another.
Used only when p<0.05 because difference is confirmed

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8
Q

What are the different types of post hoc tests?

A

Bonferroni, Tukis, Duncan (unreliable)

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9
Q

What is the simplest type of regression?

A

multiple linear regression- calculate slope and add additional variables

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10
Q

What is the 3 M approach?

A

model, measurement, method

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11
Q

What is the limitation of ANOVA?

A

F does not pinpoint which means are significantly different from each other

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12
Q

What are the limitations of ANOVA?

A

F does not pinpoint which means are significantly different from each other
need post hoc multiple comparison procedure

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13
Q

When is a post hoc multiple comparison procedure not needed?

A

when the F is not significant

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14
Q

What is a two way ANOVA?

A

extension of one way ANOVA, 2 simultaneous IVs of 2+ categories each (nominal/ordinal IV), 1DV (ratio)

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15
Q

what is an MANOVA?

A

multivariate analysis of variance; extension of ANOVA with 2+ DVs

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16
Q

(post hoc) If a significant main effect or interaction is found, then you can only conclude that there is…

A

a significant difference amongst levels of IVs somewhere

17
Q

What is a bivariate correlation?

A

describes how closely 2 ratio level variables co-vary together

18
Q

what is the difference between bivariate correlations and multiple regression?

A

bivariate-> analysis of 2 ratio level variables
multiple regression-> analysis of more than 2 ratio level variables (many variables analyzed together)

19
Q

What can bivariate correlations and multiple regressions do in relation to causal relationships?

A

cannot prove causal relationships but can provide evidence to support causal arguments

20
Q

When is multiple regression used?

A

to examine impact of several independent variables on dependent variable
- in applied research

21
Q

Give an example scenario when multiple regression is used

A

to predict how long a senior stays in hospital post-surgery, you might consider many possible predictors (age, severity of illness, physical function scores, depression scores)

22
Q

What is the difference between multiple nonlinear regression vs. multiple linear regression?

A

nonlinear fits variables on a best fitting “curve”
linear fits variables on best fitting line

23
Q

What makes multiple linear regression a powerful tool?

A

-isolates separate effects of IVs on DV
-estimates which IV is strongest predictor of DV
-identifies math equation describing linear relationship between IVs and DV

24
Q

What happens during the “Model” of 3Ms?

A
  • determine which variable will be treated as DV and which will be treated as IVs
  • specify greater than and less than relationships between variables
25
Q

What happens during the “Measurement” of 3Ms?

A

identify level of measurement (nominal, ordinal, ratio) for reach variable

26
Q

What happens during the “Method” of 3Ms?

A

determine which method (stat procedure) appropriate for examining relationships between variables
eg. Crosstabs (chi-square)
means (ANOVA)
correlations