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where can statistics commonly be found
newspapers, advertisements, financial news, sports, weather, and journal articles
how are statistics used in journal articles
to measure relationships between variables, summarize and depict data, and evaluate experimental results
what is the goal of learning statistics in this context
to understand simple calculations, evaluate statistical use, and interpret results correctly
what do we usually work with in research—samples or populations
samples
what is a population
larger group from which a sample is drawn
what type of letters are used to describe sample values
latin
what type of letters are used to describe population parameters
greek
what is a variable in measurement
a defined phenomenon that is being measured
what does measurement involve
assigning values to outcomes
what are objective measures
measurements of physical quantities and qualities using equipment
are objective measures usually numeric
yes
what are subjective measures
ratings or judgments made by humans about quantities or qualities
what are examples of subjective measures
pain, quality of life, patient satisfaction
what are some categorical subjective variables
gender, religion, blood type
what are the four categories of measurement scales
nominal, ordinal, interval, and ratio
how are the four measurement scales ordered
in order of increasing complexity
why does the type of measurement scale matter
because certain types of statistics are best used with specific types of data
which scale type is the simplest
nominal
which scale type is the most complex
ratio
what is the origin of the term "nominal"
it comes from the Latin nomin, meaning "name”
what do nominal scales do
they place variables into categories using labels
do nominal categories differ in quality or quantity
quality
what comparisons can be made with nominal data
A = B or A ≠ B (equivalence or non-equivalence)
can someone belong to more than one nominal category at the same time
no
what are examples of nominal variables
diagnosis, gender, religion, blood type, political preference
how useful are nominal scales for statistical analysis
not much can be done
what do ordinal scales measure
variables ordered along a continuum (rank order)
what does ranking in ordinal scales tell us
whether one observation is above or below another
can ordinal data show how large the differences are between ranks
no
what are examples of ordinal variables
pain scale, satisfaction levels, and height ranked
how useful is ordinal data for statistical analysis
not much can be done
what does "interval" in interval scales mean
it refers to equal spaces between measurement units
what is a key feature of interval scales
they have equal intervals between values
do interval scales have a true zero point
no
what does an interval scale allow you to identify
equal intervals between any two measurements
what are examples of interval scales
fahrenheit and celsius temperature
what can be concluded from interval-scale temperature differences
whether something is warmer or colder, but not true ratios
can interval data be used for statistical analysis
yes
what does "ratio" in ratio scales mean
it comes from the Latin ratio, meaning calculation
what is the defining feature of ratio scales
they have equal intervals and an absolute zero
what does an absolute zero mean
the complete absence of the variable
why are ratio scales the most precise
they include all characteristics of nominal, ordinal, and interval scales plus a true zero
what does an absolute zero allow you to do
make true ratio statements (twice as much)
what is an example of a ratio vs. interval scale
interval: 0°C (arbitrary zero).
ratio: 0 Kelvin (absolute zero, no heat)
what does a nominal scale show
how many cases are in each category
what does an ordinal scale show
the relative position of things on a continuum
what does an interval scale show
how many points units one measure is greater or less than another
what does a ratio scale show
how many times larger or smaller one is to another with the chance of absolute zero
what happens if measurement tools are faulty
it is difficult to accept or reject a research hypothesis
what should good measurement do
minimize error
what are the two qualities any assessment tool must have
reliability consistency and validity does what it should
what is test-retest reliability
same measurement twice on the same participant to test stability over time and correlate the two tests
what is the ideal correlation coefficient for test-retest reliability
aim for plus 0.8
what is inter observer reliability
two or more clinicians independently assess the same patient to check consistency from rater to rater and correlate results
what is internal consistency
the extent that results on different items correlate with each other
how is internal consistency measured
using cronbach alpha aim for alpha above 0.8
give an example of internal consistency
exams on a topic in a class should show consistency on how different questions are answered
what is measurement validity
the test does what it is supposed to do accuracy of the test
does validity refer to the test or the results
validity refers to the results of the test not the test itself
can test results be partially valid
yes
what is content or face validity
how well items represent the entire universe of items for an exam ask an expert if items assess what you want low content validity means test did not reflect material presented
what is predictive or criterion validity
how well a test predicts a criterion predicts future values
what is construct validity
verified by comparing the test to other tests measuring similar qualities to see correlation often difficult to establish
what is the purpose of a screening test
identifying the presence of disease or not
what are the four possible outcomes of a screening test
true positive, false positive, false negative, true negative
what is sensitivity
proportion of people who test positive who really have the condition true positive
what is specificity
proportion of people who test negative who really do not have the condition true negative
what does sensitivity of 1 and specificity of 1 mean
perfect valid test
what is the purpose of descriptive statistics
organizing and summarizing raw data to get an accurate look at what the data looks like
what are examples of descriptive statistics
frequency distribution average score degree one score varies from another tables graphs histograms polygons
what does central tendency measure
the most typical or representative scores in a group of data
what does variability measure
the extent to which scores are spread out
what are parametric tests
assume samples are drawn from a normal distribution and have the same variability use interval or ratio data
what are non parametric tests
do not assume normal distribution or homogeneity use ordinal or nominal data
what is the first step with a set of data
find an average
what are the three commonly used averages
mean, median, mode
what is the mean
arithmetic center of gravity
what is the median
middle score
what is the mode
the most common score
what does the mean describe
the center or balance point of a frequency distribution
how do you calculate the mean
sum of scores divided by number of cases sigma over n
what is the median
the middle value of a set of ordered numbers with 50 percent of scores on each side
how do you calculate the median for an even number of cases
take the two middle values and find their average
how do you calculate the median for an odd number of cases with no duplicates
select the middle value
does the median change if data at the center repeats
yes
how do you calculate the median with repeating data
first divide n by 2 to find the middle position count cases from the left use lower limit of repeated number then go fraction of the way needed between lower and upper limits
what is the mode
the most frequent value or category in a distribution
what is the mode used for
most frequently occurring value used for nominal ordinal and sometimes interval ratio data
what is the median used for
exact center of rank ordered data when odd or average of two middle values when even used for ordinal and interval ratio data particularly when skewed
what is the mean used for
arithmetic average sum of xs divided by n used for interval ratio data
why should measures of variability be reported
reporting only an average without variability may misrepresent a set of data two datasets can have the same average but different variability
what are three measures of variability
range, variance, standard deviation
what is the range
difference between the highest and lowest score
why can the range be unreliable
if the high or low is an outlier
what is the most important measure of variability
standard deviation
what is the variance
the average of the squared deviations from the mean divided by the number of cases
what is the standard deviation
the square root of the variance
what is the range
difference between the highest and lowest score easy to calculate but highly unstable
why do we square deviations when calculating variance
the sum of the average deviation about the mean is zero squaring makes all positive
how is sample variance calculated
sum of squared differences between observations and their mean divided by n minus 1