- S
AMHSA
- See Substance Abuse and Mental Health Services Administration.
- Sample
- A part of a larger group of
people. The sample may or may not
be chosen by chance. This term can
also be a verb, meaning to choose this smaller group.
- Sample frame
- The methods for
choosing the group of people to be studied; or the larger group from which that
group is chosen.
- Scaling
- Giving numbers, in order,
to information which was in words or ideas; for example, showing a persons
opinion by a number from this list: 1) strongly agree; 2) agree; 3) disagree; 4)
strongly disagree. Scaling always
uses numbers.
- Scale
- A test; a group of linked
questions that can be added together to form a measure of one thing.
- Scale respondent
- The person
filling out the survey or taking the test; for example, a parent, spouse,
relative, or teacher of the participant.
- Secondary analysis
- A way of
studying information that has been found or written about by someone else.
- Self-administered questionnaire
(self-report)
- A set of written questions which the person being studied
fills out and returns to the researcher.
- Self-selection
- A way of choosing
the people for a study by letting them set themselves apart from a larger group
in some way; for example, by responding to a questionnaire or by going to a
program.
- Sensitivity
-
A measure of how well a scale shows differences among people.
- SEP
- See socioeconomic
status.
- Services research
- The study of
places or groups, like a mental health center, that offer services to people.
The research usually focuses on how well the services work.
- Service utilization
- The use (or
rate of use) of health services or social services.
- SES
- See socioeconomic
status.
- Snowball sampling
- A way of finding
people to study by asking them about each other; for example, choosing one
person who was born in Germany, then asking that person for the name of a second
person born in Germany, and so on, in a chain.
- Socioeconomic status (SES)
- Also
called socioeconomic position (SEP).
A measure that combines a persons education, work history, income,
etc. into a single rating that tries to show where that person is placed in his
or her society, and what larger group (for example, the middle class) that
person is part of.
- Special populations
- Groups of
people that cant be studied in the same way and by the same rules as other
groups, for some reason.
- Specificity
- The measure of how
well a scale shows whether a certain person is a member of a certain group; for
example, how well it shows whether a client has a phobia of books, rather than
showing only whether that client has a high level of general anxiety.
- Split-half reliability
- A measure
of how well the different parts of a scale are working together; found by
comparing half the items with the other half (for example, the odd-numbered
items with the even-numbered items).
- Spurious correlation
- What looks
like a link between two things, when the link is really caused by a third
thing. For example, doctors often
own houses, but that is not just because doctors are doctors; it is also because
doctors earn a lot of money.
- SSD
- Social Security Disability.
Monthly payments from the U.S. government to disabled citizens who have
not worked and have not paid into the Social Security system.
- SSI
- Social Security Insurance.
Monthly payments from the U.S. government to disabled citizens who have
worked in the past and have paid into the Social Security system.
- Stability
- A kind of
reliability; it shows how alike measurements are at different times with
the same test or scale.
- Stakeholders
- People who have a
share or an interest in something; for example, people who receive some of the
profits of a hospital because they have helped to set up the hospital or have
given money to it in the past. Stakeholders can be clients, relatives, professionals,
community leaders, agency administrators, volunteers, etc.
- Standard deviation
- A measure of
how widely the values (amounts, numbers, scores) in a group of values are spread
around the mean (midpoint). For
example, all the scores may be very close to the midpoint, or many of them may
be much higher or lower.
- Standardized
- A term that describes
a way of giving, scoring, or reading tests or surveys; if a test is
standardized, it is like other tests and the information taken from all of them
can be compared.
- Statistics
- The study (usually
mathematical analysis) of information that is in the form of numbers or can be
given numbers; the term can also mean that information itself.
- Significance
- A mathematical test
of whether a studys results could be caused by chance or whether they really
show what they seem to show.
- Stratification
- A way of ordering
individual people within a social system. The
different rungs of the ladder depend on, for example, income, education, work,
or power. The term can also mean ranking anything on different levels,
by group or category.
- Stratified sample
- A group of
people or things chosen so that certain levels or smaller groupings (like
certain ages, incomes, or diagnoses) are kept together and a set number of
people or things from each level are in the larger group.
A stratified random sample chooses the people or things within each
grouping or level by chance, but decides ahead of time how many people or things
there will be within each level and what the levels will be.
- Structured interviews
- Interviews
that use a set list of questions the interviewer asks every person.
The interviewer writes down each persons answers on the form with the
questions.
- Substance abuse
- Addiction to
alcohol or drugs. Sometimes this
term is separated from chemical dependence, which is less severe.
- Substance Abuse and Mental Health
Services Administration (SAMHSA) --
- -An
organization of the federal government, within U.S. Health and Human Services,
which focuses on substance abuse (issues related to drug or alcohol dependence)
and on mental health.
- Survey research
- A type of study
that uses phone questions, mailed questions, interviews, or self-completed
forms, and that does not use the experimental method.
Back To Top
- T
A
- See technical assistance.
- T-test:
- -A statistical test of the difference between two means.
- Technical assistance
- Manuals,
instructions, consultations, etc. that give information or support for learning
any technical task (such as how to use email or the internet).
- Trend
- - A steady change in one
direction over time; for example, more and more parents letting their children
have later and later bedtimes over several years would be a trend.
- Test-retest method
- A way of
measuring something by first giving a test and then, after waiting a set time,
giving the same test again to the same group of people.
- Theory
- A way of explaining or
trying to explain a set of facts.
- Time series design
- A way of
studying what researchers have noticed at set times; for example, studying how
many cavities a group of children have every 6 months.
- Tools
- Ways of testing or
measuring; for example, questionnaires, rating scales, etc.
- Type I error
- A mistake based on
saying there is a difference when there is not.
- Type II error
- A mistake based on
saying there isnt a difference when there is.
- Typology
- A system that groups
information into different types.
Back To Top
- U
nit
of analysis
- What size or number is being counted as separate within a larger
group in a study; for example, an individual person, a family, a city, or a
school. This unit will be different
for different studies.
- Univariate analysis
- The study of
only one thing that might change, not a group of different things that might
each change.
- V
alidity
- The measure of how well a scale or test shows what its supposed to show.
There are several different types of validity and each type must be
tested separately:
- Construct validity
- The measure of how well the test fits the ideas behind the study
and the way the topic has been set out. Usually such a test separates 2 groups
that are known to be opposite extremes.
Content
validity The measure of how fully the whole topic of the study is covered by
the test . For a test to have
content validity, every piece of the topic should also be part of the test.
This is sometimes called Face validity.
- Convergent validity
- The measure of how well the test matches up with other tests of the
same thing.
- Criterion validity
- The measure of how well the test matches an accepted test (gold
standard) outside the study. There
are two types of criterion validity:
(a)
Concurrent validity The measure of how well the test being studied
and the gold standard test measure the same thing at the same time.
(b)
Predictive validity -- The
measure of how well the test being studied predicts some practical result that
the gold standard will find later.
- Value (statistical)
- An amount written in numbers, not in words, pictures, etc.
- Variable
- Anything that can have different values (be different sizes or amounts) at
different times; what is being measured in a study.
- Variance
- The measure of how wide the range of values (amounts, sizes, or scores
written in numbers) is; of how far apart these numbers are.
It is a number found by multiplying the standard deviation by
itself.