Analyzing Assessment Data for Nursing Students

Analyzing Assessment Data
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Analyzing Assessment Data
Nursing education consists of both practical and theoretical training processes. Clinical education is a vital element in this professional learning, allowing students to acquire the right skills, knowledge, and patient care competencies. Like any other learning program, assessment is vital in professional nursing education. It ensures that nurses are competent and safe practitioners. Instructors evaluate the level of students' learning and performance. The assessment helps educators identify ways to enhance learning and improve learners' ability to help learners become self-directed and effective. This paper aims to evaluate sample test results to determine the efficiency of student learning.
Summary of statistics
They can use assessment data to determine whether or not the learners are accomplishing their learning outcomes. For test results to be useful in making decisions, this data needs to be interpreted. A total of 24 students took part in the test, which consisted of 100 items. The scores ranged between 48% and 92 percent, with the highest point value being 100. The mean score of this test was 72.690 and had a standard deviation of 9.813. The median score was 73, and the test reliability was 0.844. The test recorded a standard error of measurement of 3.872.
Reliability refers to the extent to which an assessment tool accurately and consistently measures learning. Reliable results mean that when an assessment is delivered again to the same participants under similar circumstances, you will reach almost the same conclusions. In the sample statistics, reliability was 0.844, meaning the test is reliable. A test is considered to have higher reliability when the reliability coefficient is close to 1.0 (Ferris& O'Flynn, 2015).
The raw score is the basic score on a test that analyzes the number of questions each student answered correctly. It also represents the items answered right out of all items on the test. The trends in this sample are measured using mean and median scores. They provide a numerical summary of the learner's performance. Instructors can use this information to express students' progress by converting the basic scores into standard scores. The range for this sample represents two scores in the distribution; the lowest and highest scores. It helps in determining the variability of the test score. For instance, in this case, the highest score is 92, while the lowest is 48. The range for this test is (92-48) = 48.
Standard Error of Measurement
The standard error of measurement estimates the error expected for a score on a particular assessment. All standardized tests are prone to error. Since changing conditions often affect performance, an individual taking a test today is likely to get a different score if the same test is administered next week. This sample's statistical data indicates an SEM of 3.872, a large standard error of measurement. Instructors can use this information to determine how close the sample mean score is to the hypothetical true mean score (Ferris & O'Flynn, 2015).
Item analysis
The quality of...