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a set of inter-related constructs (concepts), definitions, propositions, that present a systematic view of phenomena by specifying relations among variables for the purposes of explaining and predicting phenomena |
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the ____ tests the theory |
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this is the statement of the relationship between the independent and the dependant variables |
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this is the investigator's hunch or expectation |
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another name for a guiding hypothesis |
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what is the statement that allows verification by using a test? |
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"there will be no statistically significant difference" |
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the null hypothesis is based on the _____ of _____ |
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what is the laws of proof? |
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if one can falsify the null then the opposite or alternative must be accepted |
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define directional hypothesis (hd) |
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there will be a statistically significant difference in
indicates where the difference will be found(ie the direction)
* not commonly used in research, except in epidemiology b/c assumed exposure to diseases or agents usually doesn't result in better health! |
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this variable is the characteristic that the researcher controls or manipulates according to the purpose of the study
used to classify or categorize subjects or groups |
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a measure of the effect of the independent variable
used to measure outcomes or compare differences
may be measured before and after the conditions are manipulated |
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these are variables that interfere in a study "bugs", must be eliminated(controlled)
characteristics not of primary interest that affect the dependent variable |
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intervening (confounding) variables |
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name the four levels of measurement |
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Definition
Nominal
ordinal
ratio
interval |
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examples of nominal levels of measurement and definition |
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Definition
mutually exclusive categories, but have no order or meaning
male, female,
No mathmatics** |
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define ordinal levels of measurements |
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Definition
mutually exclusive categories based on some defined characteristics and the relative amt of that characteristic with a logical order to the categories
ex agree, disagree,
never use math on this level of data** |
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which levels of data do you not use math on? |
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Definition
NO math on
Nominal
Ordinal |
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classifies objects into mutually exclusive categories based on defined characteristics
logical order
and equal units of differences
example= units
can use math |
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ratio levels of measurement |
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Definition
mutually exclusive categories, based on some defined characteristic and the relative amt. of that characteristic with a logical order, equal units of difference and a meaningful zero point, representing absence of the characteristic
example= # of cigarettes
WBC count
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2 types of categorical data |
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2 types of continuous measures |
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formula for observed measurement= |
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observed measurement= the true value + error |
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can you use means, standard deviations for ordinal level data? |
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are small or large sample sizes vulnerable? |
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small are more vulnerable |
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chance variation is also called what? |
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_____focuses on the consistency with which a measurement is taken? |
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discuss instrument reliability |
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focuses on the consistency of measurement by a particular instrument- what if the instrument is faulty?
the key with instrument reliability is calibration |
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intra-rater reliability focuses on what? |
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Definition
consistency with which an individual takes measurements
is it done the same by the person every time?
poor technique?
consistenly following technique? |
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inter-rater reliability focus on what? |
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Definition
consistency in measurements between or among more than 1 individuals taking the measurements.
must be an adequate assurances that changes are true rather than b/c of error-
*does everyone follow the same protocol for measuring? |
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is the pearson correlation appropriate for measuring reliability? why or why not? |
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Definition
No, b/c it ignores systematic errors |
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wwhat is the preferred measure for reliability for continuous data? |
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Definition
ICC-itra-class correlation coefficient |
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the best ways to improve reliability are to do what? |
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Definition
follow a protocola and practice the protocol before taking measurements |
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0 to 1.00
0.9 or above -excellen reliability
.75-0.89 good to verygood
below 0.75 mod to poor
the lower the worse |
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Definition
1. rateres and ratings do not agree
2. lack of sufficient variability of subjects' scores(range)
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what does measuring validity mean? |
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Definition
does the test or measure actually do what it is intended to do?
are we measuring what we think we are measuring? |
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what type of validity?
does the mesurement appear appropriate? |
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what type of validity
is the measurement based on theory? |
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waht type of validity
is the test broad enough to address the scope of the content?
(example: anatomy, only covers sm. part of the body, not the whole thing) |
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what type of validity?
how does the test perform?
is it useful? |
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what type of validity
does the test predict a specific phenomenon or outcome? |
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what type of validity?
does the test perform as well as an accepted test?
does a smaller test do as good as a bigger, or the gold standard? |
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what type of validity?
does the test predict well enough to determine an intervention? |
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what type of validity is concerned with limiting or controlling factors and events, other than the independent variable, which may cause changes in the outcome(dependent variable) |
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which type of validity is concerned with factors which may affect the generalization of the conclusions drawn from a study |
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what are the three temporal threats to internal validity? |
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Definition
history, maturation, and attrition
history-passage of time,
maturation-age(developmental changes, like that of a toddler)
attrition-drop out, ex. if happy with treatment drop out of study, the only ones left are those who are not being helped
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what are the threats to measuring effects on internal validity |
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Definition
testing-the act of testing itself, once testing is done learning is done about test, can't repeat
instrumentation- what if there is a problem with instrument chosen to test (ex in class testing writing with "pencil-like object" but not really pencil, this learning affects handwriting also)
statistical regression to the mean-tendancy for outliers to move toward the mean as test is repeated, due to laws of probability
sampling-bias
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population effects to external variability |
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Definition
1. accessibility-the subject may not represent the entire population, which may include individuals wha have comprimised access to medical care and treatment
2. subject treatment interaction-everybody reacts differently-we are all genetically different. |
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ecological threats and concerns related to external validity |
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Definition
1. description of the variables-not given enough data to exactly replicate and get same results
2. multiple treatments (test order)-potentiation of therapies-fatigue, physiology of test-what was done first |
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this is an effect on test subjects knowing they are test subjects, they have better compliance than those not be tested-it is a threat to external validity |
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discuss pre-test/post-test sensitization |
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individuals anticipate what will be tested, this is an external validity threat
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what is it called when a person's charissma or the person doing the study affects the outcome ? |
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Rosenthal effect-example of a threat to external validity |
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Definition
R=randomized
M=subjects are matched
O= means measurement
X=treatment
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what type of design is
characterized by
- no control group
- sesitivity to temporal threats to internal validity
- poor generalization
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the investigator measures temp. of a sample of children on day before and one day after innoculation
plot and this is an example of what? |
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Definition
O X O
pre-experimental design
"before-after"
no control grom is described
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what type of design
- is the gold standard
- randomized-likelihood is balanced
- there is a control group-comparison
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randomization is used to help _____ factors among groups |
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randomization means what?
not? |
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Definition
randomization= equivilant
NOT=identical |
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ex. women with RA were randomly assigned to one of 3 tx groups: heat, cold, contrast baths, edema was measured using an immersion technique one day before tx and later after they received 6 tx's (before tx and after tx measurements)
plot and describe design |
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Definition
this is a pretest-post test control group design using 3 groups. because pts are used a strict control (withholding tx) cannot be used
R O X1 O
R O X2 O
R O X3 O |
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Term
ex. in order to compare the effects of tPA and no tPA , pts presenting within 4 hrs of a CVA were randomly selected to receiveor not receive tPA. 6 days after admission to hosp. pts. wree compared
do diagram and explain this test |
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Definition
R XtPA O
R XnotPA O
tis is experimental design, but no pretest is possible b/c cannot prediagnose CVA |
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do diagram and explain type of test
in order to test the effect of pos. imagery on psycomotor skills 2 classes form the same school were used. the subjects in 1 class received instruction on visual imagery while the other class did not. Subjects' times to complete the psycomotor test battery were measured before and after one clase received visual imagery training |
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Definition
this is a quasi-experiment b/c 2 whole classes were compared and one does not know it is the equivalent
O X1 O
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O X2 O |
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this type of design has characteristics of experimental design, but lacks at least 1 of the typical characteristics that would make them"true" experimental design. |
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quasi-experimental design |
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all members defined on some specification |
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a subset of a population is a _____ |
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what type of sample?
any subject that qualifies is included |
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what type of sample?
all potentioal subjects from a specific source |
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all subjects are chosen form a protocol, for example, every fifth M and M
is what type of sample? |
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Definition
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this type of sample -subjects are chosen so that the composition lof the sample represents the population on specified characteristics
(ex. if asking nurses and 85% are female-make sure 85% of your sample is also female)
want it to look similar |
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type of sampling-every potential subject has an equal likelihood of being included in the sample |
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black jack is what type of sampling? |
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Definition
random without replacement |
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what type of sampling-after a subject is chosen at random, the subject is returned to the population, usually not used in clinical research
odds don't change-slot machine!
50 in 1 is same as 1 in 50 |
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Definition
random sampling with replacement |
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Term
what type of sampling- after a subject is chose at random the subject is not returned to the population
this method is typically used in clinical researc |
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Definition
random sampling without replacement |
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Definition
it's the proportion of outcomes that meet a criterion divided into all possible outcomes |
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Term
probability of having a girl |
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Definition
p= girl/boy, girl
1/2=50%
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replacement vs not
drawing the king of hearts in 2 draws
replacement 1/52 AND 1/52
no replacement 1/52 and 1/51
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what is the measures of central tendency? |
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- describes the population sample(descriptive statistics)
- useful as a shorthand
- describes the most typical subject
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examples of measures of central tendancy |
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what measure of central tendancy is the only one that can be used for nominal data? |
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Mode-b/c it is just stating what the most common score is |
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the most common score
all levels of measurement
may be more than 1 mode |
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the value occuring at the midpoint when the data is arranged in order of magnitude
useful for skewed distributions
ordinal, interval or ratio data |
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the sum of the scores divided by the number of subjects (mathematical average)
interval or ratio level data |
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parameters describe _____
statistics describes_____ |
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parameters- populations
statistics -samples |
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use ____ in the denominator in the equation for calculating sd because using __ underestimates the dispersion for small sample sizes |
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Definition
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greek letters are used to denote_____
latin letters are used to denote_____ |
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Definition
greek-paramenters
latin-statistics
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what is the preferred measure of central tendancy for skewed distribution? |
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the population standard deviation |
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negative skew is skewed to the ___ |
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if the sample is trimmed what does this mean? |
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outlying scores are dropped |
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if original distribution is trimmed by 10% what does this mean?
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5% trimmed on each side of curve |
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if a mean is winsorized what does this mean? |
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Definition
20% on each side dropped and replaced by the remaining highest and lowest number, this will often make the mean lower than the median |
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in a bar chart how is data seperated? |
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Definition
each bar or segment represents one category and is seperated from the others |
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bar charts are useful for ____ and _____ data |
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in a histogram what do the segments represent? |
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Definition
the bars or segments touch and represent ranges rather than single values-intervals |
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histograms are useful for what type of data? |
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Definition
interval and ratio level data |
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flattened part of the peak |
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in normal distribution -1 to +1 is____%
-2 to +2 is____%
-3to +3 is ____% |
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Definition
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