steps for Single case statistics using norm data:
- Raw score: score the test using test manual/instructions. For example what are the requirements to score a 8 on a test.
- Look up the norm data. For example people usually score a 6
- Standardize based on norm data: Compute adjusted score considering age, sex, and/or education OR compare to norm group matched on age, sex, and/or education. You do this by using the Adjusted score calculation underneath the table of the norm data. Here you will fill in the information about your patient, this will give you their adjusted score. Get scaled score, percentile, and/or z-score (depending on the norm data), for this you can look at the tables (Equivalent score=your computed adjusted score). Then look at your scale to percentille z-scores, to computed your z-score. z = NORMSINV(percentile of your score example 0.50) = ....
- Interpret: Check whether z-score/percentile is significant using the standard normal curve (score is lower then -1.645) or two-sided (score is lower then -1.96 or higher then 1.96)). If your score doenst fall in this you can say your score is significant. mention if the test was one or two sided!
- Report: percentile, z-score, one-sided or two-sided, interpretation.
Norm data: You want to know if the patient peforms differently than before the onset of the disease or illness. Most of the time you don't have such a baseline measure and have to make a estimate. You can do this with:
- Patient interview: ask the patient self and/or their loved ones about their impairments. You want to things like their job, a architect will have more visuospatial constructions skills then a secretaris.
- Norm data: waht do people score that are similar to your patient on a given test? does he fall within the expected range of performance or not? The used norm group must match your patient. You can collect norm data with standarized tests. All clinicals or researchers should use the same test materials and test protocol. Side not: Always think critically about which subpopulation the norm data came from. If this doenst match it can lead to wrong conclusions. --> when using norm data look at age, the subpopulation, when was it collected etc
steps for Single Case statistics without norm data
- Raw score
Collect data of a control group: Calculate the mean and standard deviations for this group. using excel: Mean = AVERAGE(…) or GEMIDDELDE(…). SD = STDEV(…)
Standardize basend on control data using z-score: Where does your participants score lie on a normal distribution. To compute this use:![](data:image/png;base64,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)
Formulas in excel: z = NORMSINV(p) or z = STAND.NORM.INV(p). p = NORMSDIST(z) or STAND.NORM.VERD(z)
Interpret: Do this the same way as you would when you do have the norm data.
Reasons to use a small control group:
- Obtain a homogeneous, well-matched group: Large control groups are typically heterogenous with respect to certain background variables. However, there might be a strong need to match the control group on all or certain crticial demograpic variables to the patient => allows stronger matching
- Effortful to compose a large control group (e.g. brain scans) Composing a large control group could be very effortfull (for example when also brain scans in the controls must be collected)
- Small group of control patients. Control groups could be a small group of control patients
- Certain patient behaviors instantly seen as deviant. Certain patient behaviors can more or less instantly to be seen as deviant. Hence only a few controls suffices (i.e. use an absolute score rather than relative score). For example, if a patient does not recall his own name this is so clearly erroneous that there is no need for a large control sample
Modified t-test: you use this to correct for the higher chance at a false positive/type 1 error when using a small control group. Compared to the z-test it also takes the sample size in account. H0= patneint did come from the control population. H1= patient did not come from the control population
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)
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)
Monte Carlo Simulation: to test whatever using a z-test or modified t-test leads to a higher change at type 1 error.
- Take a sample size (N)
- Take this sample size plus a observation from a normal distribution
- Test this using both a z-test and modified t-test and repeat this
- Compare the results --> z-test results in lager % of type 1 error, especially in smaller sample sizes.
problems with assumptions: There is often no normal distribution. The control/normal group scores really high (positvely skewed distribution), while the patient group scores really low (negatively skewed distribution). Or leptokurtric distribution of control scores, the score range is limited on either side. When using a z-test you get a more extreme skew.
Modified t-test (practical)
- Raw score
- Compute mean and standard deviation of control group
- Standarize based on control data using modified t-test.
- Manually: use the t-test calculation shown above in excel. See the example below
- SINGLIMS_ES program: you can fill in all the data and the program will calculate this for you. It will also give you the p-value and effect size and other additional data.
- Interpret: comporte the t tot the critical t-value. Is it higher or lower? It has to fall in the significant part of the normal distribution
Single dissociation: If patient A is impaired on task X but performs normally on task Y, then we may claim to have a dissociation between tasks.
- Patient differs from controls on task X
- Patient doesn’t differ from controls on task Y
- Patient’s performance on task X and Y differ
Double dissociation: Patient A is impaired on task X (e.g. speaking), and not on task Y (e.g. comprehension) Patient B is impaired on task Y (e.g. comprehension), and not on task X (e.g. speaking)
Revised Standardized Difference Test (RTSD): t= difference between two tests : standard error of the difference
--> Use a program for this: DISSOCS_ES. Fill in your data.
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