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Comps > Final ANOVA study guide > Flashcards

Final ANOVA study guide Flashcards

1
Q

type one error

A

rejecting a true null hypothesis

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2
Q

alpha

A

type 1 error

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3
Q

type 2 error

A

accepting a false null

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4
Q

beta

A

type 2 error

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5
Q

decreased alpha leads to what

A

increased beta & vise versa

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6
Q

increased type 2 error leads to

A

decreased level of significance, decreased type 1 error, less power, lacking ability to detect significance when it does exist

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7
Q

increased type 1 error leads to

A

increased level of significance, decreased type 2 error, greater power, increase likelihood of telling significant difference (power)

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8
Q

power

A

probability of rejecting a false null hypothesis and obtaining a statistically significant result

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9
Q

power equation

A

1-beta

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10
Q

if power =.8

A

find significance 80% of the time

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11
Q

ways to increase power

A

increase sample size, increase type 1 error rate, homogenous groups, intensify tx’s to observe greater differences, one tail over two tail, stronger design in pair t-test rather than pooled

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12
Q

a decreased type 1 error

A

decreased power and less likely to tell significant differences

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13
Q

p < alpha

A

rejecting null

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14
Q

p > alpha

A

fail to reject null (retain it)

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15
Q

Beta

A

probability that x has no effect when it does __ % of the time

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16
Q

alpha

A

probability of concluding x has an effect when it does NOT __ % of the time

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17
Q

power = .99

A

b=.01, effects of x truely have an effect on y, it will be detected 99% of the time

18
Q

CR Assumptions

A

variances are equall (homogeneity of variance), normally distributed across groups of DV , no outliers, indendence observed in design

19
Q

making F more robust

A

increase sample size

20
Q

post hoc liberal tests

A

greater power, increased type 1 error, greater ability to detect a significant difference when it does exist

21
Q

RM & RMF assumptions

A

independence observe in design, normally distributed DV, homogeneity of variance, sphercity (homo across p levels)

22
Q

If sphericity is violated and ANOVA is sig

A

researcher is confident in result, type 1 error < alpha

23
Q

increased type two error rate with violated sphericity

A

insig anova and –> less confidence in results

24
Q

CRF-pq assumptions

A

independence, normality across DV groups, homogenity of variances; tx combos=SS, interaction between Tx effects sig?, fix or random tx, no interatiion BTWN groups

25
Q

SPF assumptions

A

independence, Tx level a normally distrubuted, tx a observations have equal variances, sphericity, no interaction between tx groups

26
Q

ANCOVA assumptions

A

independence, normal distribution of tx a, equal variances of tx a, x & y relate but don’t interact, w/in group reg coeff are equal, cov is w/o error & has no effect on IV

27
Q

Regression & correlation assumptions

A

x has linear relationship with y, all important x’s in model, all unnecessary x’s (unrelated to y) not in model, data pair independence (x1 does not relate to x2)

28
Q

specific regression assumptions

A

homoskedasity of residuals (check scatter plot & residual plots), residuals are normal (mean = 0), model is properly specified with above assumptions (R2 and eliminated no sig x’s)

29
Q

correlation assumptions

A

bivariate normality of x and y, even random dispersion of residuals

30
Q

CR

A

one between, one indepent factor. no single person in multiple groups; one level of observation

31
Q

RM

A

one within, subjects have commonality across all levels & recieve all tx’s. one group with p levels of obvs.

32
Q

CRF-pq

A

2 groups with one level, participants are not repeated in groups. looking at interaction. Main effect a is looking at significance of group 1 and then of group 2. SME looking at effect of gender specific to paper or electronic; looking at format specific to male & female

33
Q

SPF

A

1 btwn 1 within. people take one group but complete all levels within group. take paper or electronic with all subjects (math, science, and english)

34
Q

ANCOVA

A

look at effects of IV on DV when controlling for a continuous factor

35
Q

are april ACT scores sig different for males or females?

A

CR, one between, one way

36
Q

are dec and april act scores different across individuals?

A

RM, one within

37
Q

is there an interaction between gender and course taken on April ACT scores?

A

CRF-pq (2-3)

38
Q

are april ACT scores sig different for males and females in different courses?

A

CRF-pq (2-3)

39
Q

does the tennis ball bounce differently depending upon court and swing?

A

crf-pq 22

40
Q

are dec and april act scores sig dif for students in different courses?

A

spf

41
Q

are april ACT scores different for students in different courses when taking into account practice ACT?

A

ANCOVA

Comps (5 decks)

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