The Brief COPE scale was designed to assess a broad range of coping responses among adults for all diseases7, 8. It contains 28 items and is rated by the four-point likert scale, ranging from "I haven't been doing this at all" (score one) to "I have been doing this a lot" (score four). Chapter 3: Understanding Test Quality-Concepts of Reliability and Validity. Test reliability and validity are two technical properties of a test that indicate the quality and usefulness of the test. These are the two most important features of a test. You should examine these features when evaluating the suitability of the test for your use. Using SPSS Reliabilities Analyze à Scale à Reliabilities Move the desired items into the "Items" window. Be sure "Alpha" is showing in the Model window Click the "Statistics" button Be sure "Scale" and "Scale if item deleted" buttons are checked. ****** Method 1 (space saver) will be used for this analysis ****** _ In order to do this and then check their reliability (using Cronbach's alpha), you will first need to run a test such as a principal components analysis (PCA). You can learn how to carry out principal components analysis (PCA) using SPSS Statistics, as well as interpret and write up your results, in our enhanced content. Accelerat ing t he world's research. Kettle Test--A Brief Measure of Cognitive Functional Performance: Reliability and Validity in Stroke Rehabilitation Adina Hartman-maeir American Journal of Occupational Therapy Cite this paper Downloaded from Academia.edu Get the citation in MLA, APA, or Chicago styles Related papers Download a PDF Pack of t he best relat ed papers Ket t le t est --a brief Levene's test examines if 2+ populations have equal variances on some variable. This condition -known as the homogeneity of variance assumption- is required by t-tests and ANOVA. So how to run and interpret this test in SPSS? This simple tutorial quickly walks you through. Read more The Shapiro-Wilk test examines if a variable is normally distributed in a population. This assumption is required by some statistical tests such as t-tests and ANOVA. The SW-test is an alternative for the Kolmogorov-Smirnov test. This tutorial shows how to run and interpret it in SPSS. Read more is opened in SPSS Key in values and labels for each variable Run frequency for each variable Check outputs to see if you have variables with wrong values. Check missing values and physical surveys if you use paper surveys, and make sure they are really missing. Sometimes, you need to recode string variables into numeric variables 13 Using the method of reliability Kuder Richardson KR-20 and KR-21 produces a value before the training on reliability values KR-20 = 0.6328, and KR-21 = 0.6000, after the training, the reliability Reliability on the other hand is defined as 'the extent to which test scores are free from measurement error' [20]. It is a measure of stability or internal consistency of an instrument in measuring certain concepts [21]. According to [22], there are various types of reliability depending on the number of Recently, a colleague of mine asked for some advice on how to compute interrater reliability for a coding task, and I discovered that there aren't many resources online written in an easy-to-understand format - most either 1) go in depth about formulas and computation or 2) go in depth about SPSS without giving many specific reasons for why you'd mak