Valid reliability
“Statistical validity by definition refers to whether a statistical study is able to draw conclusions that are in agreement with statistical and scientific laws.” (Golafshani, 2003) With that being said, if a conclusion is drawn from a given data set after experimentation, it is said to be scientifically valid. Especially if the conclusion drawn from the experiment is scientific and relies on mathematical and statistical laws. Statistical reliability ensures the validity and precision of statistical analysis. The ability to reproduce the results over again using that same experiment.
Understanding Validity and Reliability
Take for example, a beginning archer having the target in sight. Ready, aim, fire; the shot is far left.
…show more content…
How reliable is this questionnaire? Will they get similar results if they repeat their questionnaire soon after and conditions have not changed? Take for example, a group of patients comes into the office because they have “run out of options” and are in a deep state of depression, they have heard that a chiropractor can “turn the power back on” and the adjustments are “life changing.” If a questionnaire was administered to the same workers soon after the first one, the researchers would expect to find similar levels of depression. If the levels haven’t changed, the “repeatability” of the questionnaire would be high. This is called “Test retest reliability”. (Health, I. f., …show more content…
If something is measured repeatedly, for it to be considered reliable the same results should be apparent every time when recreating the experiment using the same set of procedures.” For example, when examining a patient, taking the height of the patient measuring at 68 inches. If that patient comes in a month later and measures 70 inches this is considered to be lacking reliability. This is because under the same conditions similar results should be found when the test is repeated for it to have external reliability (consistency) in findings. (S., 2015)
“Internal reliability in psychology refers to how well a measure is consistent within itself.” (S., 2015) With the example of the tape measure above; this means the tape measure should consistently measure the same throughout. Between each inch, the measurement should consistently be the same distance between each 1/8th of an inch.
When looking at the importance of both internal and external reliability. Both are considered to be important in their own way in the reliability of research. External is important to measure something that does not change regardless of when you measure it. Whereas, internal reliability is important if one wants to use the findings in relation to other variables.
External and Internal
Another weakness in the experimental design was that the reliability of the experiment was very low. As each test subject was only tested against each amount of prior exercise once, the impact of random errors is likely very large, which can be seen by the spread of the data on the graph. Although, this was attempted to be rectified by averaging the results of all four test subjects, it does not improve reliability too
and to the left, the bullet must have been fired from the front and right of
...e been beneficial to the experiment. An error may have occurred due to the fact that measurements were taken by different individuals, so the calculations could have been inconsistent.
Possible sources of error in this experiment include the inaccuracy of measurements, as correct measurements are vital for the experiment.
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.
Another confound that may impact the results of this study could be the testing effect. Repeated testing may lead to better or worse performance. Changes in performance on the test may be due to prior experience with the test and not to the independent variable. In addition, repeated testing fatigues the subjects, and their performance declines as a result (Jackson, 2012). Because the professor is interested in determining if the implementation of weekly quizzes would improve test scores, an experimenter and/or an instrumentation effect may also affect results.
A standardised assessment system is important for both therapist and patient. With a system that clinicians have agreed upon it is much simpler to align assessments and treatments. It ensures that when three different clinicians interview a patient, they reach similar findings for the final assessment.
Internal validity, unlike external and construct validity, deals with causal relationships. In other words, the question is whether any additional research that is found is actually associated with the study that is being conducted. The question, again, is whether we can be confident that the outcome of the study is a result of the experiment itself. What this means is that internal validity is the extent to which a change in a given variable is caused by the change in another variable.
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.
¨ To be sure in experiment results the best thing is to repeat it at
Researchers need to understand methodology before a study is conducted in order to have a clear understanding of the research methods and for the researcher to become familiar with the research method used(Study.com, 2015). Concepts: Validity: Validity is the length to which a test measures what it claims to measure(Cherry,
problems, so it can be safely disregarded. These problems were not the only ones with the experiment - the major factor being that it was only performed once, with no repeats. values were taken to be correct, with no comparisons made. This could easily be rectified by performing a suitable number of repetitions. for example, 4 repetitions could be made, and an average taken.
I learned some key factors in making the determination whether statistical data is reliable: Consider the population sample and if it is representative of the inferences that the data is claiming.
The concept of validity is considered to be a theoretical view as it prompts queries on the "purpose it is valid for"? Accordingly, the nature of the concept, indicates the true aptitude of a measure, to draw open the phenomena it represents in reality (Carmines and Woods 2005). While the term validity frequently stands correlated with measurement. It stands suggested that the notion of validity be referred to as the development of interpretation, grounded on the data presented. Therefore, cultivating, that validity should be understood in conjunction with the function of the measurement.
... tested in the same manner for a specified purpose in order to maintain consistency and validity within results.