Midterms 1 Flashcards

(80 cards)

1
Q

the act of assigning numbers or
symbols to characteristics of things according to
rules

A

Measurement

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2
Q

methods used to provide
concise description of a collection of quantitative
information

A

Descriptive Statistics

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3
Q

methods used to provide
concise description of a collection of quantitative
information

A

Descriptive Statistics

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4
Q

method used to make
inferences from observations of a small group of people
known as sample to a larger group of individuals
known as population

A

Inferential Statistics –

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5
Q

– the property of “moreness”

A

Magnitude

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6
Q

– the difference between two points
at any place on the scale has the same meaning as the
difference between two other points that differ by the
same number of scale units

A

Equal Intervals

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7
Q

– when nothing of the property being
measured exists

A

Absolute 0

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8
Q

a set of numbers who properties model
empirical properties of the objects to which the
numbers are assigned

A

Scale

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9
Q

takes on any value within the
range and the possible value within that range is infinite
- used to measure a variable which can theoretically be
divided

A

Continuous Scale –

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10
Q

– can be counted; has distinct, countable
values
- used to measure a variable which cannot be
theoretically be divided

A

Discrete Scale

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11
Q

– refers to the collective influence of all the
factors on a test score or measurement beyond those
specifically measured by the test or measurement

A

Error

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12
Q

Four Levels of Scales of Measurement

A

Nominal
Ordinal
Interval
Ratio

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13
Q

– involve classification or categorization
based on one or more distinguishing characteristics
- Label and categorize observations but do not make
any quantitative distinctions between observations

A

Nominal

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14
Q

rank ordering on some characteristics is also
permissible
- median

A

Ordinal

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15
Q
  • contains equal intervals, has no absolute zero
    point (even negative values have interpretation to it)
  • Zero value does not mean it represents none
A

Interval

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16
Q

has true zero point (if the score is zero, it means
none/null)
- Easiest to manipulate

A

Ratio

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17
Q

defined as a set of test scores arrayed
for recording or study

A

Distribution

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18
Q

– straightforward, unmodified
accounting of performance that is usually numerical

A

Raw Scores

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19
Q

– all scores are listed
alongside the number of times each score occurred

A

Frequency Distribution

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20
Q

being manipulated in the
study

A

Independent Variable

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21
Q

nonmanipulated
variable to designate groups

A

Quasi-Independent Variable –

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22
Q

statistics that
indicates the average or midmost score between the
extreme scores in a distribution

A

Measures of Central Tendency –

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23
Q

– the average of all the raw scores
- Equal to the sum of the observations divided by the
number of observations

A

Mean

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24
Q

the middle score of the distribution
- Ordinal, Interval, Ratio
- Useful in cases where relatively few scores fall at the
high end of the distribution or relatively few scores fall
at the low end of the distribution

A

Median

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25
most frequently occurring score in the distribution
Mode
26
an indication how scores in a distribution are scattered or dispersed
Variability
27
statistics that describe the amount of variation in a distribution
Measures of Variability
28
– equal to the difference between highest and the lowest score
Range
29
– dividing points between the four quarters in the distribution ▪ Specific point
Quartile
30
– equal to the square root of the average squared deviations about the mean
Standard Deviation
31
also known as Gaussian Curve o Bell-shaped, smooth, mathematically defined curve that is highest at its center
Normal Curve –
32
– 2 – 3 standard deviations above and below the mean
Tail
33
– right side of the graph is mirror image of the left side
Symmetrical Distribution
34
nature and extent to which symmetry is absent
Skewness
35
few scores fall the high end of the distribution ▪ The exam is difficult
Positive Skewed
36
– when relatively few of the scores fall at the low end of the distribution ▪ The exam is easy
Negative Skewed
37
– steepness if a distribution in its center
Kurtosis
38
relatively flat
Platykurtic
39
– relatively peaked
Leptokurtic
40
– somewhere in the middle
Mesokurtic
41
raw score that has been converted from one scale to another scale
Standard Score
42
– results from the conversion of a raw score into a number indicating how many SD units the raw score is below or above the mean of the distribution
Z-Scores
43
– a scale with a mean set at 50 and a standard deviation set at 10
T-Scores
44
– a method of scaling test scores on a nine- point standard scale with a mean of five (5) and a standard deviation of two (2)
Stanine
45
one that retains a direct numerical relationship to the original raw score
Linear Transformation
46
required when the data under consideration are not normally distributed
Nonlinear Transformation –
47
statistical method that uses a sample data to evaluate a hypothesis about a population
Hypothesis Testing
48
– states there is a change, difference, or relationships
Alternative Hypothesis
49
– no change, no difference, or no relationship
Null Hypothesis
50
used to define concept of “very unlikely” in a hypothesis test
Alpha Level or Level of Significance
51
composed of extreme values that are very unlikely to be obtained if the null hypothesis is true
Critical Region
52
statistical hypotheses specify either an increase or a decrease in the population mean
Directional Hypothesis Test or One-Tailed Test
53
– used to test hypotheses about an unknown population mean and variance
T-Test
54
number that provides us with an index of the strength of the relationship between two things
Correlation Coefficient
55
an expression of the degree and direction of correspondence between two things
Correlation
56
– used when two variables being correlated are continuous and linear
Pearson r/Pearson Correlation Coefficient/Pearson Product-Moment Coefficient of Correlation
57
frequently used if the sample size is small and when both sets of measurement are in ordinal
Spearman Rho/Rank-Order Correlation Coefficient/Rank-Difference Correlation Coefficient
58
extremely atypical point located at a relatively long distance from the rest of the coordinate points in a scatterplo
Outlier
59
used for prediction ▪ Predict the values of a dependent or response variable based on values of at least one independent or explanatory variable
Regression Analysis
60
comparison or determining differences
T-Test (Independent)
61
2 groups are equal
Equal Variance
62
groups are unequal
Unequal Variance
63
one groups nominal (either matched or repeated measures) + 2 treatments
T-test (Dependent)/Paired Test
64
3 or more IV, 1 DV comparison of differences
One-Way ANOVA
65
– 2 IV, 1 DV
Two-Way ANOVA
66
reject the null and accept the alternative if [ obtained value > critical value ]
Critical Value
67
reject null and accept alternative if
P-Value (Probability Value)
68
refer to the performances by defined groups on a particular test
Norms –
69
an expression of the percentage of people whose score on a tests or measure falls below a particular raw score
Percentiles
70
average performance of different samples of testtakers who were at various ages at the time the test was administered
Age Norms
71
– developed by administering the test to representative samples of children over a range of consecutive grade levels
Grade Norms
72
derived from a normative sample that was nationally representative of the population at the time the norming study was conducted
National norms
73
– normative sample can be segmented by any criteria initially used in selecting subjects for the sample
Subgroup Norms
74
– provide normative information with respect to the local population’s performance on some tests
Local Norms
75
– certain tests have different normative groups for age groups
Age-Related Norms
76
– tendency to stay at about the same level relative to one’s peers
Tracking
77
– compares each person with the norm
Norm-Referenced Tests
78
– compares each person with the norm
Norm-Referenced Tests
79
describes specific types of skills, tasks, or knowledge that the test taker can demonstrate
Criterion-Referenced Tests –
80
describes specific types of skills, tasks, or knowledge that the test taker can demonstrate
Criterion-Referenced Tests –