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Establishing reliability and validity
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Recommended: Establishing reliability and validity
1. Explain in a short paragraph what you understand by the term “reliability”. (2)
a. Reliability means that a rater or instrument is consistent and reliable in their measurements from trial to trial. When a measurement is reliable it can be reproduced over and over again and still consistently be free from error. However, it is impossible for a measurement to be completely free of error. Therefore, it is important that the measurement error is calculated. This is the difference between the observed and true values. A reliable measure will have a small measurement error.
2. Explain why the intraclass correlation coefficient is preferred to Pearson’s correlation coefficient as a measure of reliability? (2)
a. The Intraclass Correlation (ICC)
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Known groups validity is when the validity of a measurement is determined by the degree to which the instrument can detect different scores between the groups. This test is used when the groups are already known to vary on the variables being tested and determines how sensitive the instruments detection of difference is.
Example: Known groups validity may be used to validate an instrument that is created to measure the amount of body image anxiety that exists between groups. It would be expected that a group of people diagnosed with anorexia would score higher on body image anxiety than a group of healthy individuals. Therefore, if the measurements gathered by the instrument followed this pattern we would conclude that the measure was valid. A finding of no difference between the group diagnosed with anorexia and the healthy group would lead to the conclusion that the measurement was not valid because the instrument was not able to detect this difference.
6. In order to compute the 95% confidence interval for Functional reach test (mean) or [Pre_FRT], you need to know 2 pieces of information about the Pre_FRT score in this sample. (3)
a. What are these 2 pieces of information?
i. Sample mean and SEM(standard error of the
Valid-The effect seen is actually related to the intervention and is not a random occurrence
“Reliability refers to consistency in terms of how well items in an instrument correlate with one another, providing justification for the creation of a scale or index (DeVillis, 2012), or consistency
What is the difference between a.. If a study is confounded, the researcher is not absolutely certain that changes in the dependent variable were caused by the manipulation of the independent variable, or some other uncontrolled variable. In a non-equivalent control group post-test only design, any differences observed between the two classes may be due to the non-equivalence of the groups and not to the injection of quizzes. No pre-test measures were given to establish equivalence. Another confounding factor that may impact the results of this study could be the testing effect.
In order to understand why these tests are necessary, there must be an understanding of
In addition to logical consistency, testability is an important piece when evaluating a theory. According to Akers & Sellers (2013), “a theory must be testable by objective, repeatable evidence” (p.5); thus, if the theory is not testable then it has no scientific value. There are several reasons why a theory might not be testable; such as its concepts may not be observable or reportable events and tautology. Tautology refers to a statement or hypothesis that is tr...
Validity is essentially the degree to which a conception is founded and parallels accurately to the real world. Validity is the tool that measures what the particular research was anticipated to measure (Schmitt & Brown, 2012). There are several different types of validity but the ones that will be discussed in this paper are concurrent and predictive. Concurrent validity is taking an already validated point and testing it with another measurement tool. This means that there was already a hypothesis proven right or wrong and now the researcher will be testing this same hypothesis but will being using another type of tool to see if the result...
Reliability is doing what you say you are going to do, when you say you are going to do it. If someone is reliable, you are able to depend on him or her at work or school. Working with someone who is reliable is working with someone whom you trust versus working with someone who is not dependable.
These concerns are the problem of 'generality ' and the problem of 'extent '. Before these concerns can be understood, we need to understand the two forms of belief forming processes, namely, belief forming process 'type ' and belief forming process 'token '. A 'type ' is a form of belief forming process whereas a 'token ' is individual sequence of events that lead to a certain belief formation. In other words a token is an instance of type. Between them only belief forming process type is repeatable and hence can be used for reliability test.
However, both characteristics of reliability and validity are important and can be used in many studies, such as the self-rating and other- ratings of daily behavior. Reliability refers to the internal consistency, inter-rater reliability, test-retest, and standardized scoring. In other words reliability means that study scores have to be constant with repeatability of the findings. Validity also refers to convergent validity, discriminant validity, and predictive validity. Validity refers to the reliability or credibility of the research. If the findings in a study, reliability and validity are valid they must be reliable.
7. Reliability - Reliability is the degree to which a test can be repeated with the same results. Tests with high reliability yield scores that are less susceptible to insignificant or random changes in the test taker or the testing environment.
In the absence of a consistent classification, assortment and assessment of subjects will become nearly unmanageable. Researchers use diagnostic sets that empower them to draw deductions and comparison among different research groups.
What I understand this to mean, is that the data has self-assurance that the values are appropriate when we repeat a test several times. The value that is given is a representation of a range in values that demonstrates confidence at 90, 95, or 99% that it is correct. The most commonly used is 95%. The reason why this is significant is due to the fact that it demonstrates practicality and relevance in that the estimates are most likely the true and valid results.
Possible sources of error in this experiment include the inaccuracy of measurements, as correct measurements are vital for the experiment.
Reliability was tested and the figures obtained for Cronbalch’s alpha were low at 0.016. Cronbalch’s alpha results can be supplemented by other tests to increase accuracy.
... tested in the same manner for a specified purpose in order to maintain consistency and validity within results.