Assessment in Special Education PDF

Summary

This document provides an overview of assessment methods used in special education. It covers different types of assessments, including observation, standardized tests and interviews. It also discusses key concepts such as validity, reliability and different types of tests used in special education.

Full Transcript

Assessment in Special Education ​ Assessment: A process that involves collecting information about a student to make decisions. ○​ Testing: A set of questions or tasks administered to an individual to determine knowledge or skills. ​ Three ways in which a student may be identified fo...

Assessment in Special Education ​ Assessment: A process that involves collecting information about a student to make decisions. ○​ Testing: A set of questions or tasks administered to an individual to determine knowledge or skills. ​ Three ways in which a student may be identified for assessment of a suspected disability: ○​ The student’s classroom teacher may identify specific symptoms within the classroom that seem to indicate the presence of some problem. ○​ The student’s parents may call or write to the school or to the director of special education and request their child be evaluated. ○​ Other school personnel or outside professionals may suspect the presence of a learning disability and ask the student’s parents for permission to evaluate the student individually. ​ Under IDEIA, an evaluation of a child for a suspected disability must be made by a multidisciplinary team (MDT) of qualified professionals. ​ Observation: An assessment technique whereby one observes the student in his or her natural environment. ○​ Ecological Assessment: Involves directly observing and assessing the child in the many environments in which he or she routinely operates. ​ Ecological Assessments provide valuable information about: ​ Academic skills ​ Motor/Physical skills ​ Communication skills ​ Social skills ​ Management skills ○​ Common Observational Techniques: ​ Anecdotal Recording: The observer describes incidents or behaviors observed in a particular setting in concrete, narrative terms. ​ This DOES NOT draw inferences about feelings or motives. ​ It provides insight into cause and effect: ○​ Antecedent: What happened before the behavior occurred? ○​ Behavior: What did the student/child do? ○​ Consequence: What happened after the behavior occurred? ​ Event Recording: The observer is interested in recording the number of times a specific behavioral event occurred. ​ Ex: How many times does the student hit or get out of his or her seat? ​ Duration Recording: This method requires a watch or clock so that a precise measurement of how much time a student spends doing something of concern to the teacher or assessment team can be recorded. ​ Interview: An assessment technique is conducted face to face, whether in person or via video call or telephone, between an interviewer and interviewee, where recorded responses to questions are obtained. ​ Portfolio Assessments ○​ A purposeful collection of student works that exhibits the student’s efforts, progress, and achievement in one or more areas. ​ Validity: The extent to which an instrument measures what it is supposed to measure ​ Reliability: The consistency of measurements. ○​ In assessment, reliability relates to the confidence in an instrument to give the same score for a student if the test was given more than once. ○​ A reliable test produces similar scores across various conditions and situations, including different evaluators and testing environments. ​ Types of Tests ○​ Norm-referenced test (NRT): Designed to compare student performance to that of other students. ​ In special education, almost every NRT compares an individual’s student’s score against national averages ​ Emphasizes how the student’s performance compares with that of a particular group of individuals ○​ Standardized tests: Administered and scored consistently; all children receive the same questions and procedures. ​ In special education, these include intelligence tests, math, reading, spelling, writing tests, and perceptual tests. ​ Basal: The starting point of the test. ○​ All items before the basal are not given to the student. These items are considered already correct. ○​ Example: The examiner may start with question 14 on an IQ test because of the child's age. ​ Ceiling: The point where the student has made a predetermined number of errors and stops administering all other items on this test. It is the “ending point” of the test. ○​ Criterion-Referenced Tests (CRT): Scored according to a standard, or criterion, that the teacher, school, or test publisher decides represents an acceptable level of mastery. ​ Mastery: A level or performance on a CRT that shows that a student has demonstrated the knowledge, skills, and abilities for a unit of instruction or subject area defined by a predetermined standard. ​ In other words, it describes “what a student can do.” ​ Basic Statistical Terminology Used in Special Education Assessment ○​ Central Tendency: A measure that attempts to describe a whole data set with a single value representing the middle or center of its distribution. ​ Mean: The average is calculated by adding up all of the scores in your distribution by the total number of scores. In the distribution: 8, 10, 8, 14, and 40, what is the mean score? Step 1: 8 + 10 + 8 + 14 + 40= 80 Step 2: 80/5= 16 The mean is 16. ​ Median: The midpoint in the distribution. It is the middle score. ​ Calculating the median is done by ordering the scores from LOWEST to HIGHEST. Then, cross off the low score and the high score. Repeat step 2 until there is only one number left. In the distribution of scores: 8, 10, 8, 14, 40, calculate the median. Step 1: 8, 8, 10, 14, 40 Step 2: 8, 8, 10, 14, 40 The median is 10. ​ What happens if you have an even number of units? ○​ Repeat the steps above, and when you get to the final two numbers, you take the average of the two numbers. In the distribution of scores: 8, 10, 12, 8, 14, 40, calculate the median. Step 1: 8, 8, 10, 12, 14, 40 Step 2: 8, 8, 10, 12, 14, 40 Step 3: 10 + 12 / 2 = 11 The median score is 11. ​ Mode: The score that occurs most frequently in the distribution. Create a tally and frequency chart. What is the mode in the distribution of 8, 10, 8, 14, 40? Step 1: Score Tally Frequency 40 I 1 14 I 1 10 I 1 8 II 2 The mode is 8. What is the mode in the 8, 10, 8, 10, 14, 40 distribution? Step 1: Score Tally Frequency 40 I 1 14 I 1 10 II 2 8 II 2 The modes are 8 and 10. (Bimodal distributionion= 2 modes) What is the mode in the distribution of 8, 9, 10, 12, 14, 40, 14 40, 12, 10, 9, 8? Step 1: Score Tally Frequency 8 II 2 9 II 2 10 II 2 12 II 2 14 II 2 40 II 2 There is no mode since all scores appear twice. ○​ Range: The difference between the highest and lowest score in the distribution. In the distribution 8, 10, 8, 14, 40, what is the range? Step 1: 40–8= 32 The range is 32. ​ Importance of the Normal Curve ○​ Standard deviation: Tells you how spread out the data is. ​ About 68% of values will be within 1 standard deviation of the mean. ​ About 95% of values will be within 2 standard deviations of the mean. ○​ Normal Curve: In a normal distribution with a mean of 90 and a standard deviation of 10, approximately what percentage of scores fall between: ​ 80 and 90? (Answer: 34%) ​ 80 and 100? (Answer: 68%) ​ 80 and 110? (Answer: 81.5%) ​ 100 and 110? (Answer: 13.5%) ○​ Percentile Rank (%ile) ​ A score indicating the percentage of people or scores that occur at or below a given score Example 1: If a student receives a percentile of 75 in a class, this means that he did as well as or better than 75% of the students in the class. Example 2: If a students scores in the 16th percentile, this means she scored as well as or better than only 16% of the population. ○​ Stanines ​ An abbreviation for standard nines, is a type of standard score that has a mean of 5 and a standard deviation of 2. ​ A stanine of 7 is 1 standard deviation above the mean (5+2) ​ A stanine of 9 is 2 standard deviations above the mean (5+2+2) ​ A stanine of 1 is two standard deviations below the mean (5–2–2)

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