Level of measurement Flashcards
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)
Nominal Scale
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
Ordinal Scale
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
Interval Scale
Represents the highest, most precise level of
measurement
(2) Has meaningful true zero point.
(3) Example:
o Height
o Weight
o Time
o Distance
Ratio Scale
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
Population
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
Sample
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.
n= N/1+N.e2
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
Frequency Distribution
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)
Construction of Simple Frequency Distribution Table
Multiply each X value by its frequency
(2) Add the products: (ΣX)
Sum of Score (ΣX)
Fraction of the total group that is
associated with each score (X)
o Formula: -p= f/n
Proportions
Formula: -p (100) = f/n (100)
Percentage
Group score together; make use of class
intervals
(2) Rows of a FD = highest X - lowest X + 1
Grouped Frequency Distribution
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
Construction of Grouped Frequency Distribution Table
When a continuous variable is measured, the
resulting measurements correspond to
intervals on the number line rather than single
points
Frequency Distribution
Real Limits and Frequency Distribution