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 ****** _ 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. 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). 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 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 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 Langkah Pertama, buka Program SPSS dan klik Variable View, dibagian pojok kiri bawah program SPSS. Kemudian pada bagian Name tuliskan Item_1 ke bawah sampai Item_7 (karena ada 7 buah item soal angket). Selanjutnya pada bagian Decimals ubah semua menjadi angka 0, lalu pada bagian Measure ganti menjadi Scale. 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. A test-retest reliability coefficient was calculated on this individual statement (item) since individual items can not have a Cronbach's alpha internal consistency reliability calculated. The statement presented to each student was, "I am pleased with my graduate program at The Ohio State University." Students were asked to respond to the Recently, a colleague of mine asked