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General: #1: Available Macintosh Statistical Software; #2: Relationship between F and R-square; #3: Data codebooks; #4: DF for a correlation text (H0: rho=0); #5: Point biserial correlation; #6: Estimation methods in structural equation modeling; #7: Finite population correction factor; #8: Comments/Codebook in an external data file; #9: Standard error of the measurement; #10: Negative factor loadings; #11: When covariates are not helpful; #12: Computing explained variance in factor analysis; #14: Anti-logs; #15: Eigenvalues less than 1.0; #16: Number of factors from a factor analysis; #17: Testing multivariate skewness and kurtosis; #18: Sample size for multiple regression; #19: Centering variables prior to computing interaction terms for a multiple regression analysis; #20: Simple main effects tests; #22: Multilevel models; #24: Contrast coding; #25: Handling missing or incomplete data; #26: How to perform pairwise comparisons of sample correlation coefficients; #27: What is a good kappa coefficient?; #28: How to compare correlation coefficients from the same sample; #29: Adjusted Bonferroni comparisons; #33: Handling non-normal data in structural equation modeling (SEM)
#36: Connecting to published statistical and mathematical applications on the ITS Windows Terminal Server
#40: Making a consulting appointment
AMOS: #1: AMOS Availability; #2: AMOS clipboard error 521; #3: Multiple group analysis; #4: Fitting a latent growth curve model; #5: Handling missing data using AMOS; #6: Nested model comparisons; #7: Handling non-normal data using AMOS
HLM: #1: HLM Availability; #2: HLM Output File Error Message; #3: Level-1 Regression Equations; #4: R-squared in a Hierarchical Model; #5: Confidence Intervals for Random Effects
#6: Graphing Multilevel Models
LISREL: #1: Accessing LISREL on ITS Systems; #2: Heywood cases and LISREL; #3: Covariance matrix not positive definite; #4: Total coefficient of determination for structural equations; #5: P-values for coefficient tests; #6: Reading missing data directly into LISREL; #7: Comparing groups using LISREL; #8: Assessing model identification; #9: Access Violation using LISREL on the ITS Windows Terminal Server
Minitab: #1: Moving rows to columns
Mplus: #1: Mplus availability; #2: Saving Mplus command files on the Windows Terminal Server; #3: Mplus Defaults
SAS: #3: Reading Adjacent Year, Month, and Day values using SAS; #6: Removing duplicate observations in a SAS dataset; #7: SAS Linesize option; #8: Catching data entry errors with SAS; #9: Creating a counter variable in SAS; #10: SAS chi-square test of indepdence and the phi coefficient; #11: Computing a Kappa statistic using SAS; #13: Using the SAS KEEP & DROP Statements; #15: Percentile ranks with SAS; #16: SAS/GRAPH scatter plots of predicted values; #17: Selection of a random subset of data in SAS; #18: Formatting dates for output in SAS; #20: File relationships in SAS; #21: Plot size settings in PROC PLOT; #22: Variable labels in SAS; #23: Summing variables with missing data in SAS; #24: Data as percentages in SAS; #25: Appending mean values to each observation in SAS; #26: Confirmatory factor analysis using SAS; #27: Pagesize option in SAS; #28: Plotting a regression line using SAS/GRAPH; #29: Internal consistency statistics using SAS; #30: Missing F-ratios and P-values in SAS GLM ANOVA; #31: Transfer of SAS datasets; #32: Uncompressing .Z files within SAS; #33: SAS missing values; #34: Reading hierarchical raw data files; #36: Using SAS Macro Language; #37: Jacknife regression using SAS; #38: Reading in a subset of cases in SAS; #39: Reading variable-length character strings into SAS; #40: Testing homogeneity of cell covariance matrices with SAS; #41: Special characters in SAS variable name; #43: Repeated measures ANOVA with SAS PROC GLM; #44: Hierarchical Regression Using SAS; #45: Identifying nonmatches in a SAS match MERGE; #47: Confidence intervals for cross-tabulated frequencies in SAS; #48: One-way ANOVA from summary statistics; #49: Overlaid lines in SAS/GRAPH; #50: Superimposed SAS/GRAPH plot; #51: PC SAS/GRAPH device names; #52: Printing color output from SAS/GRAPH; #53: SAS test of marginal homogeneity; #54: Debugging SAS code; #55: SAS System Options in the UNIX environment; #56: Removing centering and header information; #57: Mean substitution for missing values in SAS; #58: Placement of IF statements in SAS; #59: Counting occurrences of patterns in SAS character-valued data; #60: SAS cell chi-square test; #61: Overlay of histogram with Normal probability plot using SAS; #62: Reading compressed SAS transport files; #63: Replacing missing data from a second file; #64: Calling SAS macros on UNIX systems; #65: Using an array in SAS to detect missing values; #66: Customizing PROC PRINT output in SAS; #67: Generating random numbers with SAS; #68: Recoding variable values into missing values in SAS; #69: Three dimensional plotting with SAS; #70: Using the POINT and NOBS options with the SAS SET statement; #71: Displaying SAS output in Word; #72: One-to-many dataset merging with SAS; #73: Changing SAS output delimiter; #74: Generating design matrices in SAS; #75: SAS output of greater than 132 columns; #76: Formatting SAS data; #77: Computing an Intraclass Correlation using SAS; #78: Inputting missing data using SAS; #79: Counting if a condition is satisfied; #80: Duplicating observations using SAS; #81: FATAL: Unable to initialize work library on SAS for UNIX; #83: Creating a lead or lag variable using SAS; #84: Combining multiple lines into one using SAS; #85: Testing equality of slopes for two repeated measures variables in SAS; #86: Numbers and a ruler in the SAS program editor; #88: Converting SAS multivariate repeated measures data to univariate format; #89: Updating the SAS System license; #90: SAS out of memory; #93: Reverse scoring survey items using SAS; #94: Contrast coding using PROC MIXED; #95: SAS license updates for Macintosh; #96: Extracting cases with a given string from SAS; #97: Multilevel model ICC using PROC MIXED; #98: Fitting a multilevel model using PROC MIXED; #99: Fitting a three level multilevel model using PROC MIXED; #100: Simple versus weighted kappa from SAS PROC FREQ; #101: Plotting regression lines of best fit for multiple groups using SAS; #102: Rotating Axis labels in PROC GPLOT; #103: Reading SAS times and dates; #104: Custom within-subjects contrasts using PROC GLM; #105: Creating an episode splitting variable in SAS; #106: Univariate to multivariate data transposition in SAS; #107: Decomposing interactions using SAS; #108: Post-hoc tests in a crosstabulation table using SAS; #109: Identifying the last completed measure using SAS; #112: Printing RTF files in landscape mode; #113: Plotting multilevel model data; #116: Accessing SAS on the ITS UNIX time sharing servers; #117: Installing SAS 9.1.3 for Windows; #119: Running GLIMMIX on the Windows Terminal Server version of SAS
SPSS: #1: Change in R-Square using SPSS for Windows
: #4: Intraclass correlation from SPSS Windows; #5: Creating a counter variable in SPSS; #6: Binomial probabilities using SPSS; #9: Contingency tables and the test of independence in SPSS; #10: Calculating change in years in SPSS; #11: Exporting SPSS/Mac system files to other systems
#13: Tukey's test for additivity in repeated measures designs
#14: Formatting SPSS FACTOR output; #15: Dummy-coded categorical variables for SPSS REGRESSION; #16: Repeated measures post-hoc comparisons using SPSS; #17: Selecting cases randomly with SPSS; #19: Producing an SPSS variable that has group mean values; #20: Sums of variable lists in SPSS; #21: SPSS univariate vs.multivariate tests of repeated measures ANOVA; #22: Obtaining one-tailed p-values; #25: Non-linear regression (negative exponential) with SPSS; #26: Converting SPSS multivariate repeated measures data to univariate format; #28: Identifying variables and cases with missing data; #29: Converting missing values to numeric using SPSS; #30: Using SPSS LOGISTIC to create a predicted category membership variable; #31: Interaction contrasts in SPSS; #32: Testing H0: Homogenous regression slopes; #33: Computing ANOVAS from summary stats with SPSS; #34: Correlating factor loadings from separate samples using SPSS; #35: Plotting separate regression lines for each subject; #36: Intercept in SPSS MANOVA contrast; #38: Having SPSS write temporary data files to a non-default location; #39: SPSS test of homogenous regression slopes with repeated measures data; #40: Adjusted means from SPSS MANOVA in a repeated measures with grouping factor
#45: Scoring exam scores using SPSS; #46: Counting like columns in SPSS; #48: Transforming univariate data to multivariate data using SPSS; #49: Converting a string variable to a date in SPSS; #50: Decomposing interactions using SPSS; #52: Installing SPSS 15

If you have further questions, send E-mail to stats@its.utexas.edu.