Midterms 1 Flashcards
(80 cards)
the act of assigning numbers or
symbols to characteristics of things according to
rules
Measurement
methods used to provide
concise description of a collection of quantitative
information
Descriptive Statistics
methods used to provide
concise description of a collection of quantitative
information
Descriptive Statistics
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
Inferential Statistics –
– the property of “moreness”
Magnitude
– 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
Equal Intervals
– when nothing of the property being
measured exists
Absolute 0
a set of numbers who properties model
empirical properties of the objects to which the
numbers are assigned
Scale
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
Continuous Scale –
– can be counted; has distinct, countable
values
- used to measure a variable which cannot be
theoretically be divided
Discrete Scale
– refers to the collective influence of all the
factors on a test score or measurement beyond those
specifically measured by the test or measurement
Error
Four Levels of Scales of Measurement
Nominal
Ordinal
Interval
Ratio
– involve classification or categorization
based on one or more distinguishing characteristics
- Label and categorize observations but do not make
any quantitative distinctions between observations
Nominal
rank ordering on some characteristics is also
permissible
- median
Ordinal
- contains equal intervals, has no absolute zero
point (even negative values have interpretation to it) - Zero value does not mean it represents none
Interval
has true zero point (if the score is zero, it means
none/null)
- Easiest to manipulate
Ratio
defined as a set of test scores arrayed
for recording or study
Distribution
– straightforward, unmodified
accounting of performance that is usually numerical
Raw Scores
– all scores are listed
alongside the number of times each score occurred
Frequency Distribution
being manipulated in the
study
Independent Variable
nonmanipulated
variable to designate groups
Quasi-Independent Variable –
statistics that
indicates the average or midmost score between the
extreme scores in a distribution
Measures of Central Tendency –
– the average of all the raw scores
- Equal to the sum of the observations divided by the
number of observations
Mean
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
Median