Exam 1 Flashcards

1
Q

Observational research

A
  • investigator measures relationships between events or conditions
  • no manipulation
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2
Q

experimental reserach

A

involves an investigator that directly manipulates conditions to measure a response

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3
Q

reliable

A

consistent across repitions

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4
Q

valid

A

obtained with sound method of measurement

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5
Q

precise

A

collected values are most nearly accurate

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6
Q

objective

A

data is collected by an impartial investigator

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7
Q

constant

A

characteristic that can only assume one value does not need to be measured

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8
Q

variable

A

any characteristic that can “vary” what is measured and typically makes up data

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9
Q

discrete variable

A

limited to certain values
- e.g. whole numbers or categories

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10
Q

continuous variables

A

theoretically assume any value

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11
Q

nomial scale

A

mutually exclusive categories, no logical order

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12
Q

ordinal scales

A

logical order, but no indication of size of difference (rank order)

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13
Q

ratio scale

A

equal intervals and an aboslute zero

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14
Q

interval scale

A

equal intervals but no absolute zero

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15
Q

what is an absolute zero

A

indicates an instance where variables dont exist

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16
Q

internal validity

A

result observed in the DV is entirely due to the treatment of the IV

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17
Q

external validity

A

the result can be generalized to the wider world

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18
Q

random sample

A

each member of the population has an equal chance of being selected

19
Q

stratified sample

A

ensure representation of subgroups within the population of interest

20
Q

convenience sample

A

members are selected based on “ease and proximity”

21
Q

Percintles

A

comparison to the range of scores/characteristics obtained from the larger sample or population

22
Q

what is the equation to calculate percentile

A

percentile = # of scores at and below the value/total # of scores

23
Q

what is the equation to calculate raw scores from percentiles with a frequency distribution dataset

A

(PN-C/f)i +L

24
Q

probability

A

long run proportion of a particular outcome

25
trimmed means
mean that ignores the highest and lowest values
26
geometric mean
restricted to positive scores (financial investments, returns, growth rate)
27
harmonic mean
price to earning ratios in finance (also restricted to positive scores)
28
equation for variance
V = (Sum (x-mean)^2)/(N-1)
29
standard deviation
the square root or variance
30
coefficient of variation
CoV = SDx/mean * 100
31
when to use coefficient variation
when there are two datasets are different in magnitudes to compare to each other
32
Z-scores
- used to figure out how far away a piece of data is from the rest of the group - express the raw score in SD units
33
what is the quation for Z scores
Z = x - mean/SDw
34
T scores
used to compare a sample population mean to the mean of the population. esp when sample pop is small or SD is not there - only can be used on normally distributed data
35
equation for T scores
T = 10Z + 50
36
positive skew
the tail is in the positive direction
37
no skewness
a normal distributoin
38
negative skewness
the tail is in the negative direction
39
what is the equation for skewness
S = sum Z^2/N then divide by SEs = sqrt (6/N)
40
kurtosis
the steepness of a distribution
41
platykurtic
wide range of scores, low concentration around mean - k<0
42
leptokurtic
narrow range of scores high concentration around mean - K > 0
43
mesokurtic
moderate range, moderate concentration
44
what is the equation for kurtosis
K = (sumZ^4/N) - 3.0 then difvide by SEk = sqrt (24/N)