Level of measurement Flashcards

1
Q

Has no numerical value
(2) “Categorical scales/data”
(3) Classifies person/object in two or more
categories
(4) Example:
o Sex (Male, Female)

o Employment Status (Full-time, Part-
time, No current Employment,

Retired)

A

Nominal Scale

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2
Q

Classifies subjects and ranks them in terms of
the degree to which they possess characteristic
of interests
(2) Put the subjects in order from highest to
lowest or from most to least
(3) Classifies person/object in two or more
categories

A

Ordinal Scale

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3
Q

Has all characteristics of a nominal scale and
an ordinal scale but is based upon
predetermined equal intervals
(2) Interval data are real numbers
(3) An interval scale does not have a true zero
point

A

Interval Scale

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4
Q

Represents the highest, most precise level of
measurement
(2) Has meaningful true zero point.
(3) Example:
o Height
o Weight
o Time
o Distance

A

Ratio Scale

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5
Q

The total of entire group of individuals, events,
objects, observations, or reactions to create
stimuli that have unique patterns of qualities
and from which information is desired by the
researcher
(2) Referred to as the universe in the statistical
investigation

A

Population

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6
Q

A portion or subset of the population used to
gather information from the population
(2) Refers to a set of individuals, objects,
observations, reactions, that truly represents
the unique qualities or characteristics of the
population

A

Sample

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7
Q

Determine the population where the data needs
to be gathered
(2) Determine the kind of sample to be drawn from it
(3) Determine the desired sample size using Slovin’s
sampling formula.

A

n= N/1+N.e2

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8
Q

Organized tabulation of the number of
individuals located in each category on the
scale of measurement
(2) Either a table or a graph
(3) Two elements of an FD:
o Set of categories that make up the
original measurement scale
o Record of the frequency, or number of
individuals in each category

A

Frequency Distribution

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9
Q

List the different measurement categories (X
values) in a column from highest to lowest
(2) Beside each X value, indicate the frequency (f),
or the number of times that particular
measurement occurred in the data
(3) Note: the frequencies can be used to find the
total number of scores in the distribution (Σf =
N)
(4) → Summation of f = population (N)
→ Sample (n)

A

Construction of Simple Frequency Distribution Table

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10
Q

Multiply each X value by its frequency
(2) Add the products: (ΣX)

A

Sum of Score (ΣX)

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11
Q

Fraction of the total group that is
associated with each score (X)
o Formula: -p= f/n

A

Proportions

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12
Q

Formula: -p (100) = f/n (100)

A

Percentage

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13
Q

Group score together; make use of class
intervals
(2) Rows of a FD = highest X - lowest X + 1

A

Grouped Frequency Distribution

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14
Q

Should have about 10 class intervals
(2) Width of intervals should be a relatively simple
number (2,5,10,20)
(3) Bottom score in each interval should be a
multiple of the width
(4) All intervals should be the same width; should
cover the range of scores completely with no
gaps and no overlaps

A

Construction of Grouped Frequency Distribution Table

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15
Q

When a continuous variable is measured, the
resulting measurements correspond to
intervals on the number line rather than single
points
Frequency Distribution

A

Real Limits and Frequency Distribution

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16
Q

A picture of the information available in a
frequency distribution table

A

Frequency Distribution Graphs

17
Q

Measurement scale; values
increasing from left to right

A

Horizontal
line: X-axis
(abscissa)

18
Q

Frequencies; values increasing from
bottom to top

A

Vertical
line: Y-axis
(ordinate)

19
Q

List numerical scores along X-axis
(2) Draw a bar above each X value so that:
o Height of the bar corresponds to the f
for that category
o Width of the bar extends to the real
limits of the category
(3) No spaces/gaps between bars

A

Histogram

20
Q

Drawing a stack of blocks instead of bars
(2) 1 block = 1 individual

A

Modified Histogram

21
Q

List numerical scores along X-axis
(2) A dot is centered above each score; vertical
positions of the dot correspond to f
(3) A continuous line is drawn from dot to dot to
connect the series of dots
(4) Draw a line down to the X-axis at each end of
the range of scores
for simple FD and grouped FD (use
midpoint)

A

Polygon

22
Q

Same as a histogram, but spaces are created
between adjacent bars
(2) To emphasize that the scale consists of
separate, distinct categories

A

Bar Graph

23
Q

Specific shape that can be precisely

defined by an equation

A

Normal Distribution

24
Q

Greatest f in the middle; smaller f’s

toward either extreme
We cand draw a vertical line through the
middle such that one side of the distribution is
a mirror image of the other

A

Symmetrical

25
Q

The scores tend to pile up toward one end of
the scale and taper off gradually at the other
end
Tail of a distribution - the section where the
scores taper off toward one end of a
distribution
(3) Positively skewed - tail to the right
(4) Negatively skewed - tail to the left

A

Skewed Distributions