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Until Spring 2010, I will be devoting most of my time to an NIMH treatment grant evaluating parent training for families with children who exhibit behavior problems. Therefore, I won't be teaching much. I will be teaching part 2 (multivariate statistics) of our doctoral statistics sequence.
Statistics II (Psych 802) |
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Power Point Slideshows Below you will find the Power Point slideshows from my lectures. These are currently innactive, as I prepare new slides for Summer, 2009.
Lecture 1 Lecture 2 Lecture 3 Lecture 4 Lecture 5 Lecture 6 Lecture 7 Lecture 8
Readings In order to save a tree, below you will find many of the readings for the class as PDF files.
SPSS Assignments Just click on the links below to download the assignments and data files.
SPSS Answers That WIll Save You Hours of Frustration 1) In my regression output, I saw that following value: -2.384E-03. What does this E notation mean? The "E" is shorthand for multiply the number on the left by 10 raised to the power of the number on the right. We refer to this as scientific notation. The value following the E tells you how many decimal places to shift your answer. If the value is negative, shift to the left. If the value is positive, shift to the right. So, the value -2.384E-03 means to shift the decimal three places to the left. When we do this, we get -0.002384 Let's suppose that SPSS displayed a very large number as 3.452E6. We would move the decimal 6 places to the right to get 3,452,000
Handouts Just click on the links below to download useful handouts. Kappa (k; Cohen, 1960) has become the preferred index for measuring interobserver agreement when data are dichotomous or nominal. Interpretation of kappa. Kappa indicates the proportion of agreement above and beyond what would be expected by chance (Cohen, 1960) and takes the form of a simple correlation coefficient that is relatively easy to interpret. Possible values range from +1.00, which indicates perfect agreement, through 0.00, which reflects chance agreement. Because kappa adjusts for chance agreement, less stringent guidelines are generally applied than those used in simple percent of agreement. Cicchetti (1994) provided a summary of interpretive guidelines for kappa. Specifically, values below 0.40 indicate poor clinical significance; values between 0.40 and 0.59 indicate fair clinical significance; values between 0.60 and 0.74 indicate good clinical significance; and values between 0.75 and 1.00 indicate excellent clinical significance. Intra-Class Correlation Handout The intraclass correlation coefficient is an index of the reliability of the ratings for a typical, single judge. We employ it when we are going to collect most of our data using only one judge at a time, but we have used two or (preferably) more judges on a subset of the data for purposes of estimating inter-rater reliability. Creating Dummy Variables in SPSS This handout will take you through every step in the creation of dummy variables. This procedure is used when you want to use a categorical variable as an independent variable in a regression equation, |
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