Contents
General |
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Computes asymptotic confidence intervals for Cronbach’s Alpha following the formula presented by Iacobucci & Duhachek (2003). Advancing Alpha: Measuring reliability with confidence. Journal of Consumer Psychology, 13, 478-487. |
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Computes bootstrap confidence intervals for Cronbach’s Alpha. |
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This MS EXCEL program lets you (a) compute a correlation coefficient from raw data (b) test whether a correlation is significantly different from zero or from some user specified value, (c) test whether 2 or more independent correlations are equal, and (d) test whether two dependent correlations are equal. You can also use it to compute Cronbach’s alpha. |
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This SAS IML program computes the agreement among judges' categorical judgments adjusted for chance agreement. |
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Computes intraclass correlations (ICCs) for judgment studies. Computes reliability estimates for both fixed and random judges. Estimates the number of judges required for any given level of reliability. |
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Intro Stat SAS Manual (Brannick’s class) |
A manual on how to use SAS for multiple regression and related topics. Includes both data and proc steps with examples. Your choice of .htm or .pdf files. |
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MS Excel spread sheet computes p values from obtained values of z, t, chi-square and F. Computes values of the same distributions give p values. |
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A checklist of things to remember when doing or evaluating a meta-analysis. |
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Data from published meta-analyses |
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Software |
Programs for analyzing data |
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AnCova | Analysis of Covariance (1 continuous variable, one binary - categorical varriable; you input the means for the categorical variable, the mean and SD for the continuous variable, and the correlation of the covariate with the dependent variable). |
This SAS IML program generates a sampling distribution of correlation coefficients. You input rho (population correlation), the sample size, and the number of samples. |
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Sampling distribution of correlations used to estimate power. |
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Reg1 | Regression (2 continuous independent variables). You input the Means, SDs, and correlations for all three variables. |
Sample1 sampling distributions |
SAS IML program samples means from a normal distribution. You input the population mean, SD, sample size, and number of samples. |
Sample 2 sampling distributions |
SAS IML program samples means from a uniform (rectangular) distribution. You choose the range, sample size, and number of samples. |
Sample 3 sampling distributions |
SAS IML program samples standard deviations from a normal distribution. You choose the population mean, SD, sample size and number of samples. |
Mean
differences sampling distribution |
SAS IML program lets you pick means, SDs, and sample sizes for 2 independent groups. Data for each group drawn from a normal distribution. |
Raw d
sampling distribution |
SAS IML program to compute d, standardized mean difference. You input mu1, mu2, SD1, SD2, N1, N1, number of samples. It outputs sampling distribution of d. |