Research and Program Evaluation Flashcards

1
Q

parsimony

A

interpreting results in the simplest way

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2
Q

occams razor

A

parsimony = interpreting results in the simplest way

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3
Q

RA Fisher

A

pioneered hypothesis testing

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4
Q

P

A

probability

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5
Q

type i

A

reject the null when its true

alpha

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6
Q

type ii

A

accept the null when its false

beta

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7
Q

increased sample size means…

A

decrease of type i and ii errors

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8
Q

t - test

A

two sample groups, use t-table, similar to z table
t score = (Z x 10) + 50
t score M=50 SD=10

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9
Q

positively skewed

A

tail to the right

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10
Q

negatively skewed

A

tail to the left

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11
Q

abscissa

A

x-axis

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12
Q

ordinate

A

y-axis

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13
Q

range

A

highest - lowest (sometimes plus 1)

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14
Q

how does range react to sample size

A

range increases with sample size increase

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15
Q

important variance/sd vaues

A

1 SD = 68
2 SD = 95
3 SD = 99

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16
Q

platykurtic distribution

A

flatter curve

17
Q

required response rate for surveys

A

50-75%

18
Q

hawthorne effect

A

when subjects perform better just because they are part of an experiment, reacting to the presence of the investigation

19
Q

rosenthal effect

A

experimenter expectancy effect, the experimenter beliefs about the subject or the test may cause special or different treatment for those subjects

20
Q

halo effect

A

when a trait not being measured influences the rating of a trait that is being measured. attractiveness and likability

21
Q

analysis of covariance (ANCOVA)

A

allows the researcher to correct for differences in covariates between various samples.

22
Q

ways to test differences between groups or ANOVA’s

A

duncans multiple range, tukeys or scheffes test

23
Q

types of sampling for a true experiment

A

random sampling and systemic sampling

24
Q

indicative vs deductive reasoning

A
inductive = goes from one case to a generalization across a population 
deductive = takes many cases and applies to one case