Research Lecture 4 Flashcards

(60 cards)

1
Q

DGI is a ___ measure

A

ordinal

note: uses a 4 point ordinal scale (0-3) to score each item

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2
Q

The DGI is use to rank an individuals performance in dynamic gait tasks rather than precisely measure amt of change or improvement

A
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3
Q

methods for organizing and summarizing data

A

descriptive statistics

for ex: tables and graphs used to organize data and descriptive values (avg scores) are used to summarize data

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4
Q

descriptive value for a population is ___

A

parameter

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5
Q

descriptive value for a sample is ____

A

statistic

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6
Q

number of cases:
population
sample statistic

A

population: N
sample statistic: n

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7
Q

mean
population
sample statistic

A
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8
Q

proportion
population
sample statistic

A
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9
Q

variance

A
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10
Q

standard deviation

A
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11
Q

correlation

A
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12
Q

regression coefficient

A
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13
Q

descriptive statistics

after collecting data the first task for a researcher is to _____ and ____ the data to get an general overview of the results

A

organize and simplify

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14
Q

one method of simplifying and organizing data is to ____

A

construct a frequency distribution

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15
Q

presents an organized picture of the entire set of scores, and it shows where each individual is located relative to others in the distribution

A

frequency distribution

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16
Q

used when a set of scores covers a wide range of values

A

grouped frequency distribution

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17
Q

frequency distribitions are displated as

A

histograms

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18
Q

if the scores in population are measured on an interval or ratio scale and the N is large, it’s customary to present the distribution as a ____

A

smooth curve rather than a jagged histogram

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19
Q

the smooth curve emphaizes

A

the fact that the distribitoin is not showing the exact freq in each category

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20
Q

examples of smooth curves

A

IQ
GRE
SAT

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21
Q

ideally you want the shape of your data distribution to be _____

A

symmetrical or have a normal distribution

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22
Q

skewed

A

scores pile up on one side of distribution leaving a tail of a few extreme values on the other side

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23
Q

two sides are close to mirror images of each other

A

symmetrical

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24
Q

non symmetrical distribition of data

A

skewed

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25
scores bunched at low values with the tail pointing to the high values
postive skew
26
scored bunched at high values with tail pointing to low values
negative skew
27
kurtosis
the peakedness of the distribution leptokurtic vs platykurtic
28
leptokurtic
higher and thinner peak
29
platykurtic
lower and broader peak
30
used to determine whether sample data has been drawn from a normally distributed population
normality test
31
generally performed to verify whether the data involved in research have a normal distribution
normality test
32
if it is found that sample data was not drawn from the normally distributed population ____
there are statistical steps that should be taken
33
stem and leaf display
another way to display frequency distribution -each score is divided into a stem consisting of the first digit or digits and a leaf consisting of the final digits -then go through the list of scores, one at a time, and write the leaf for each score beside its stem
34
a stat measure that describes the center of the distribution and represents the entire distribution of scores as a single number
central tendency
35
three commonly used technique for measuring central tendency
mode mean median
36
mode
the frequent score
37
bimodal vs multimodal
having two modes having several modes
38
what data is mode appropriate for
nominal ordinal interval ratio
39
median
if the scores in a distribution are listed in order from smallest to largest, midpoint of list
40
50% of scores in the distribution have values that are equal to or less than the median
true
41
median is appropriate for what levels of data
ordinal interval ratio
42
median is not appropriate for
nominal data
43
advatange of the median
unaffected by extreme scores
44
the most commonly used central tendency
mean
45
computation of the mean requires scores that are numerical values measured on _____
interval/ratio scale
46
DO NOT DO INTERVAL/RATIO STATS ON ORDINAL OR NOMINAL DATA
47
Is mean affected by extreme scores
yes
48
can you do mean for GDI
no because its ordinal
49
should you report the mean? when a distribution contains a few extreme scores (skewed), the mean will be pulled toward the extreme (towards the tail). in this case, the mean will not provide a "central" value
no
50
should you report the mean? with data from nominal scale it is impossible to compute a mean, and when data are measured on an ordinal scale(ranks)
no
51
should you report the mean? mean of gender (coded as 0 and 1)
no
52
in a symmetrical distribution, the ___ and __ are always equal
mean and median
53
in a skewed distribution the mode will be located at the peak at _____ the mean will be displaced towards the ____ on the other side the median is usually located?
the peak on one side tail on the other side between mean and mode
54
measure to express how spread out the scores are in a distribution
variability
55
what accompanies a measure of central tendency
variability
56
variability serves as both a ___ measure and an important component of most ____
descriptive measure inferiential stat
57
as a _______ variability measures the degree to which the scores are spread out or clustered together in a distribution
descriptive statistics
58
variability provides a measure of how accurately any individual score or sample represents the entire population
inferential statistics
59
less variability -->
better representation
60