monofilament test

(noun)

A test to evaluate the perception of fine touch that consists of touching various dermatomes with a nylon monofilament to detect any subjective absence of touch perception.

Related Terms

Examples of monofilament test in the following topics:

  • Assessing CNS Disorders

    • An example of a specific type of neurological test is a monofilament test which evaluates fine touch by applying pressure to the skin with a set of nylon filaments.
    • These are tested by their individual purposes (e.g., the visual acuity can be tested by a Snellen chart).
    • A reflex hammer is used for this testing.
    • Fine touch can be evaluated with a monofilament test, touching various dermatomes with a nylon monofilament to detect any subjective absence of touch perception.
    • Tests include:

  • Eva's test atom

  • Quantitative or Qualitative Data?

    • Different statistical tests are used to test quantitative and qualitative data.
    • Paired and unpaired t-tests and z-tests are just some of the statistical tests that can be used to test quantitative data.
    • A t-test is any statistical hypothesis test in which the test statistic follows a t distribution if the null hypothesis is supported.
    • A z-test is any statistical test for which the distribution of the test statistic under the null hypothesis can be approximated by a normal distribution.
    • One of the most common statistical tests for qualitative data is the chi-square test (both the goodness of fit test and test of independence).

  • Standardized Tests

    • A standardized test is a test that is administered and scored in a consistent manner.
    • A standardized test is a test that is administered and scored in a consistent manner.
    • Finally, critics have expressed concern that standardized tests may create testing bias.
    • Testing bias occurs when a test systematically favors one group over another, even though both groups are equal on the trait the test measures.
    • Critics allege that test makers and facilitators tend to represent a middle class, white background and standardized testing matches the values, habits, and language of the test makers.

  • Tips for Testing Series

    • Convergence tests are methods of testing for the convergence or divergence of an infinite series.
    • Convergence tests are methods of testing for the convergence, conditional convergence, absolute convergence, interval of convergence, or divergence of an infinite series.
    • When testing the convergence of a series, you should remember that there is no single convergence test which works for all series.
    • Here is a summary for the convergence test that we have learned:
    • The integral test applied to the harmonic series.

  • test

  • Standardized Tests

    • Standardized tests are identical exams always administered in the same way so as to be able to compare outcomes across all test-takers.
    • Standardized tests are assessments that are always administered in the same way so as to be able to compare scores across all test-takers.
    • Standardized tests are usually created by a team of test experts from a commercial testing company in consultation with classroom teachers and university faculty.
    • Standardized tests are perceived as being "fairer" than non-standardized tests and more conducive to comparison of outcomes across all test takers.
    • Some recent standardized tests incorporate both criterion-referenced and norm-referenced elements in to the same test.

  • The t-Test

    • A t-test is any statistical hypothesis test in which the test statistic follows a Student's t-distribution if the null hypothesis is supported.
    • A t-test is any statistical hypothesis test in which the test statistic follows a Student's t-distribution if the null hypothesis is supported.
    • Gosset devised the t-test as a cheap way to monitor the quality of stout.
    • Gosset's work on the t-test was published in Biometrika in 1908.
    • The form of the test used when this assumption is dropped is sometimes called Welch's t-test.

  • Exercises

    • In general, are rank randomization tests or randomization tests more powerful?
    • What is the advantage of rank randomization tests over randomization tests?
    • Test whether the differences among conditions for the data in Problem 1 is significant (one tailed) at the .01 level using a rank randomizaton test.
    • (S) Test the difference in central tendency between the two conditions using a rank-randomization test (with the normal approximation) with a one-tailed test.
    • (SL) Test the difference in central tendency between the four conditions using a rank-randomization test (with the normal approximation).

  • The Existence of Inverse Functions and the Horizontal Line Test

    • Recognize whether a function has an inverse by using the horizontal line test