2. What is a standard score?
A standard score is a scores that enables us to refer to the performance of an individual pupil in relation to the whole population where the mean is 100 and the standard deviation is usually 15. It also allows schools to base their assessments per school year. This is due to standarised scores taking into account the age of the pupil. A pupil in year 9 that has a date of birth of September would generally be expected to get a higher raw score than a pupil born in July, both pupils being in the same academic year. However, when calculating the standard score the age will be taken into account. This ensures that relevant interventions/arrangements can be put in place for pupils based on the standard score.
3. What scores are considered to fall within the average range?
Standardised scores that are
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One standard deviation is usually represented by 15 points from the mean. 2 standard deviations are calculated usually by 30 points from the mean.
One standard deviation away from the mean in either direction represents around 68% of the population that took that test. Two standard deviations away from the mean represent 95% of the population.
8. What is reliability? What reliability should we choose when selecting a test?
Reliability of a test is measured by how accurate and consistent that test is when measuring a target skill. For a test to be reliable it must have reliability of 0.8 or over. A reliable test should give us a consistent score every time it is completed, i.e. if it a pupil was to complete the same test that was delivered by 2 different assessors on 2 different days, a reliable test should still give us the same outcome on both tests on both days.
9. What is validity? Name and describe the three mains types of validity.
Validity is a measurement of how well a test measures the skill that needs to be
Rounded to the closest hundreth, the standard deviation for the set is approximately 19.52. Juxtaposed
Standard Deviation for the mean column is 0.476Standard Deviation for the median column is 0.754Standard deviation for the mean column has least variability
Standard Deviation of Mean= 0.4762Standard Deviation of Median= 0.7539The standard deviation of the Mean is smaller, which means all of the data points will tend to be very close to the Mean. The Median with a larger Standard Deviation will tend to have data points spread out over a large range of values. Since the Mean has the smaller value of the Standard Deviations, it has the least variability.
The mean birth weight of infants born at a certain hospital in the month of April was 128 oz. with a standard deviation of 10.2 oz. Which of the following is a correct interpretation of standard deviation?
-The shape of both data sets fall within the rule of thumb estimate and that actual standard deviation. There is a much high range for both and that is because there are several data samples that fall outside of the standard deviation.
and SD are _______________________ statistics. The mean is the measure of Central tendency of a distribution while SD is a measure of dispersion of its scores. Both X and SD is descriptive statistics.
Standard deviation is a way of visualizing how spread out points of data are in a set. Using standard deviation helps to determine how rare or common an occurrence is. For example, data points falling within the boundaries of one standard deviation typically account for about 68% of data and those between (+/-)1 standard deviation and (+/-)2 standard deviations make about 27% combined. This can be better visualized by using a bell graph. Using the mean and standard deviation, the points where standard deviations occur can be drawn on the graph to better understand which data is rare and which is common.
Answer: The standard deviation tells about the difference between the actual value and the observed or the distance between two values.
Content validity is achieved when the content of the assessment matches the educational objectives. Criterion validity is demonstrated by the ability of the test to relate to external requirements. Construct validity takes into account the educational variables, such as the native language of the students, to predict the test outcomes. Reliable assessments have consistent results; Reliability refers to the consistency of a measure. A test is considered reliable if we get the same result repeatedly.
2. For the following set of scores, fill in the cells. The mean is 74.13 and the standard deviation is 9.98.
Standard deviation is important in comparing two different sets of data that has the same mean score. One standard deviation may be small (1.85), where the other standard deviation score could be quite large (10)(Rumsey,
It is made up of four major parts: standards for particular applications, technical standards for test construction and evaluation, professional standards for test use, and standards for administrative procedures. A test that is technically adequate meets the criteria for validity, reliability, and norms. Validity is “the appropriateness, meaningfulness, and usefulness of the specific inferences” that can be made from the test results. (American Psychological Association 9) Validity is the degree to which a test measures what it is intended to measure. Reliability is the extent to which the test results are dependable and consistent. Unrelated to the purpose of the test, errors in measurement can be viewed through inconsistencies in the performance, motivation, or interests of students being tested. Norms can be shown in age or grade equivalence, standard scores, and percentiles. They are generally shown in charts showing the performance groups of students who have taken the test. Norms show the comparison of the performance of new groups of test takers with the samples of students on whom the test was standardized. Goodwin and Driscoll (59-60) note that standardized tests have the following qualities: They provide a “systematic procedure for describing behaviors, whether in terms of numbers or categories.” They have an established format and set materials. Also, they present the same tasks and
Internal consistency--The application and appropriateness of internal consistency would be viewed as reliability. Internal consistency describes the continuous results provided in any given test. It guarantees that a range of items measure the singular method giving consistent scores. The appropriateness would be to use the re-test method in which the same test is given to be able to compare whether the internal consistency has done its job (Cohen & Swerdlik, 2010). For example a test that could be given is the proficiency test which provides three different parts to the test, but if a person does not pass the test the same test is given again.
Have you ever thought about what college you want to go to after high school? In order to get into that college, you must be accepted. Colleges look for a numerous amount of criteria in order for you to get accepted, and one of those things colleges look for is your standardized test score. The standardized test is a test administered and scored in a consistent, or “standard”, way (edglossary.org). Seeing that you must get a high enough score on the test in order for your dream college to accept you, the tests are difficult, but are very worth it at the end. Colleges have been accepting students into their school with standardized test scores for more than 50 years, and with that being said, it has seemed to work pretty well (content.time.com). In the end, standardized test scores show that you deserve to go to that college, and is also a way of showing that you’ve worked hard for so long to accomplish something huge.
We know that +/- 1.96 standard deviations from the mean will contain 95% of the values. So, we can get the standard deviation by: