This web page describes faculty activity by Gordon Brooks within the Educational Research and Evaluation (EDRE) program , which is in the Department of Educational Studies and the Patton College of Education at Ohio University . If you have difficulty accessing these materials for any reason, please email me at brooksg@ohio.edu
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
· Gordon P Brooks, PhD, Professor, EDRE
· OHIO UNIVERSITY
· The Patton College of Education, Department of Educational Studies
· McCracken Hall #302Q, 1 Ohio University, Athens, OH 45701-2979
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
My PROGRAMS for DOWNLOAD (click here)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
MWERA 2024
· Word Cloud Workshop R Code: MWERA_Shapes_in_Clouds_241012.Rmd
· Word Cloud Workshop Knitted HTML: MWERA_Shapes_in_Clouds_241012.html
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
AERA 2024
· Paper presented: AERA24_MANOVA_Final_240411.pdf
· Paper presented: AERA24_MCP_Sample_Sizes_Final_240411.pdf
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
AERA 2023: Art of Scheff é, Barcikowski’s Human-Friendly Contrasts (Brooks & Adjanin)
· Paper presented: AERA_2023_Brooks_Adjanin_PAPER.pdf
· RMarkdown file (requires RStudio to run): AERA_2023_Brooks_Adjanin_BRIEF.RMD
· An example Output, Knitted R Markdown file: AERA_2023_Brooks_Adjanin_BRIEF.html
o The RMD file should run (RUN ALL) without changes in RSTUDIO. If you have KNITR installed in RSTUDIO, the RMD file should also KNIT without changes. You can import your own data as well (see comments in the code).
· Most current version of R Package: qqBarth
o It is not necessary to download the R package… the code file accesses it directly
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Programs Available
(Click on the program name to go to the Description and Download Link for the Program)
· TAP: Test Analysis Program (last updated December 2018)
· FISH: Friendly Introductory Statistics Help (last updated January 2022)
· MC4G: Monte Carlo Analyses for up to 4 Groups (last updated 2018)
· MCMR: Monte Carlo for Multiple Regression (last updated 2018)
· MCCM: Monte Carlo Correlation Matrices (last updated 2018)
· MUD: Messy Ugly Data Generator (last updated 2018)
· DGW: Data Generator for Windows (last updated September 2018)
· MC2G: Monte Carlo Analyses for 1 or 2 Groups (last updated 2018)
· MNDG: Multivariate Normal Data Generator (last updated 2018)
· MC3G: Monte Carlo Analyses for 3 Groups (last updated 2003)
· BMA: Basic Matrix Algebra (for statistics) (last updated 2004)
· HMF: Harmonic Mean Finder (last updated 2004)
Please note that some Anti-Virus programs and sometimes Windows itself will recommend that you do not download these programs or block you from downloading or running them. You can usually bypass this block by clicking more information and then choosing to download or run anyway. I use both Norton Anti-Virus and Kaspersky on different computers I use to compile these programs. Neither program has ever complained while I compile the programs. I have even had situations where Norton stopped me from downloading one of my own programs that I just uploaded even though I just compiled it on that same computer with Norton active… They just don't seem to like relatively new programs that don't have many users.
Available Software
· (All software is copyrighted, see User Agreement )
· Please note that all my software is constantly under development. I do my best to verify the code and the algorithms; but unfortunately, I can test the software only so much by myself (or even with help from a few colleagues and students). Please contact me if you find bugs or errors and I will do my best to fix them quickly. I also welcome any suggestions you might have to improve the programs (or even new programming ideas). Of course, this also means that if you find something you like, you should check back occasionally to see if there is a new upgrade available.
· Most of the documents available with the programs (e.g., user guides, instructor guides, lesson plans, student exercises) are in Adobe Acrobat PDF format. If you need the Adobe Reader, you can download it from their web site free.
BMA : Basic Matrix Algebra (for Statistics)
BMA is a Windows 9x/NT/2000/XP/7 program written in Delphi Pascal that performs matrix manipulations. It is designed for use in advanced statistics courses where a conceptual understanding of matrix algebra is desired without much calculation by hand. It takes the user step-by-step through several matrix algebra functions, including addition, multiplication, transposition, and inversion. The current version will be presented at the 2003 meeting of the Mid-Western Educational Research Association in Columbus, IL. BMA was most recently presented at the annual meeting of the Mid-Western Educational Research Association, October 2003, Columbus, OH:
· Brooks, G. P., Raffle, H., Fang, H., & Heh, V. (2003, October). Teaching statistics with the help of three new computer programs . Workshop presented at the meeting of the Mid-Western Educational Research Association, Columbus, OH.
o User's Guide by Hua Fang
DGW : Data Generator for Windows
DGW is a Windows 9x/NT/2000/XP/7 program written in Delphi Pascal that generates both Univariate and Multivariate data. The program assists in the process by providing simple choices for several research scenarios (e.g., 3-group analysis, regression analysis). DGW was most recently presented at the annual meeting of the Mid-Western Educational Research Association, October 2003, Columbus, OH.
· Brooks, G. P., Raffle, H., Fang, H., & Heh, V. (2003, October). Teaching statistics with the help of three new computer programs . Workshop presented at the meeting of the Mid-Western Educational Research Association, Columbus, OH.
o Download DGW.EXE Most Recent Version (September 2014)
o User's Guide by Victor Heh
FISH : Friendly Introductory Statistics Help
FISH is a Windows 9x/NT/2000/XP/7 program written in Delphi Pascal that performs introductory descriptive and correlation analyses. It is intended to be used as a supplement to introductory statistics courses. It is designed for use in basic statistics courses where a conceptual understanding of statistics is desired without much calculation by hand. It takes the user step-by-step through the calculation of means, standard deviations, z-scores, and correlations. Although some AUXILIARY MATERIALS may have been created for use with a previous version of the program, they should still be very useful with newer versions of the program; that is, changes to the program usually are not dramatic enough to make earlier manuals obsolete. An article about FISH was published in Teaching Statistics and FISH was most recently presented at the annual meeting of the Joint Statistical Meetings, August 2004, Toronto, Canada.
· Brooks, G. P., & RAFFLE, H. (2005). FISH: A new computer program for friendly introductory statistics help. Teaching Statistics: An International Journal for Teachers, 27 , 81-88. doi: 10.1111/j.1467-9639.2005.00221.x
· Brooks, G. P., RAFFLE, H., LEWIS,M., & BLOM, V. (2005). A computer program for friendly introductory statistics help. 2004 Proceedings of the American Statistical Association, Section on Statistical Education [CD-ROM]. Alexandria, VA: American Statistical Association. {Poster presented at the August, 2004, annual Joint Statistical Meeting, Toronto, Canada}
o User's Guide by Holly Raffle
o Instructor's Guide by Holly Raffle
o Sample Lesson 1 (univariate) by Marsha Lewis & Valerie Blom
o Sample Lesson 2 (z scores) by Marsha Lewis
o Sample Lesson 3 (correlation) by Valerie Blom
HMF : Harmonic Mean Finder
HMF is a little Windows 9x/NT/2000/XP/7 program written in Delphi Pascal that calculates the Harmonic Mean in a variety of ways (particularly useful for Power and Sample Size analyses). It will calculate (a) the harmonic mean, (b) the sample size needed for group 2 for a given group 1 sample size and desired harmonic mean, (c) several combinations of sample sizes that result in the given harmonic mean, and (d) the harmonic mean for 3-6 groups.
MC2G : Monte Carlo Analyses for 1 or 2 Groups
MC2G is a Windows 9x/NT/2000/XP/7 program written in Delphi Pascal that runs Monte Carlo simulations for several single sample and two-sample tests: Independent t, Dependent t, Single-sample t, Mann-Whitney-Wilcoxon, Wilcoxon Signed Rank, Pearson Correlation, Spearman Rank-Order Correlation. By providing the total number of rejections at the user-specified level of significance, MC2G performs robustness analyses when means are equal (or correlations are zero) and power analyses when the means are not equal (or correlations are non-zero). The original purpose of the program was to assist in the instruction of power analysis and violations of assumptions for introductory educational statistics courses. However, with a little effort the program can be used to answer actual Monte Carlo research questions.
MC2G was most recently presented at the annual meeting of the Mid-Western Educational Research Association, October 2003, Columbus, OH, and a program announcement and example lesson plans for MC2G was published in 2003 in Understanding Statistics .
· Brooks, G. P., Abdulla, A., Al-Harbi, K., Kanyongo, G., Kyei-Blankson, L., & Gocmen, G. (2002, April). Teaching introductory statistics with the help of Monte Carlo methods . Paper presented at the meeting of the American Educational Research Association, New Orleans, LA.
· Brooks, G. P. (2003). Using Monte Carlo methods to teach statistics: The MC2G computer program. Understanding Statistics, 2 , 137-150.
o Sampling Distribution Lesson Plan
o Robustness Lesson Plan by Khaleel Al-Harbi
o Power Lesson Plan by Abdulbaset Abdulla
o Sample Size Lesson Plan by Gibbs Kanyongo
MC3G : Monte Carlo Analyses for 3 Groups
MC3G is a Windows 9x/NT/2000/XP/7 program written in Delphi Pascal that runs Monte Carlo simulations for 3-level ANOVA. By providing the total number of rejections at the user-specified level of significance, MC3G performs robustness analyses when means are equal and power analyses when the means are not equal. The original purpose of the program was to assist in the instruction of power analysis and violations of assumptions for introductory educational statistics courses. However, with a little effort the program can be used to answer actual Monte Carlo research questions. MC3G was most recently presented at the annual meeting of the American Educational Research Association, April 2002, New Orleans, LA.
· Brooks, G. P., Abdulla, A., Al-Harbi, K., Kanyongo, G., Kyei-Blankson, L., & Gocmen, G. (2002, April). Teaching introductory statistics with the help of Monte Carlo methods . Paper presented at the meeting of the American Educational Research Association, New Orleans, LA.
· MC3G has essentially been replaced by MC4G (see below), but it does do a few things differently.
o Robustness Lesson Plan by Gulsah Gocmen
o Sample Size Lesson Plan by Lydia Kyei-Blankson
MC4G : Monte Carlo Analyses for up to 4 Groups
MC4G is a Windows 9x/NT/2000/XP/7 program written in Delphi Pascal that runs Monte Carlo simulations for One-Way ANOVA (with 2, 3, or 4 levels). By providing the total number of rejections at the user-specified level of significance, MC4G performs robustness analyses when means are equal and power analyses when the means are not equal. It can also be used to estimate required sample sizes. Its initial purpose was to illustrate a variety of Type I Error problems associated with ANOVA (e.g., violations of assumptions, compared to multiple t tests, probability of at least one Type I Error from multiple orthogonal tests). MC4G was most recently presented at the annual meeting of the American Psychological Society, May 2004, Chicago, IL, and an article about MC4G is in press to be published in 2005 in Teaching of Psychology .
· Brooks, G. P., & Raffle, H. (2004, May). Using Monte Carlo software for ANOVA to teach abstract statistical concepts . Paper presented as a Teaching Institute poster at the meeting of the American Psychological Society, Chicago, IL.
· Raffle, H., & Brooks, G. P. (2005). Using Monte Carlo software to teach abstract statistical concepts: A case study. Teaching of Psychology, 32 , 193-195. doi: 10.1207/s15328023top3203_12
o MC4G Instructor's Manual by Holly Raffle
o Multiple t-Test Type I Error Inflation Lesson Plan by Hua Gao
o Violation of Homoscedasticity Student Worksheet by Holly Raffle
o Violation of Homoscedasticity Lesson Plan by Gulsah Gocmen
o Underappreciated Factors that Effect Statistical Power by Gordon Brooks, George Johanson, & Robert Barcikowski
o Asymptotic Alpha: Characterizing Type I Error Rates under Heterogeneity of Variances by Gordon Brooks, Victor Heh, & Hua Fang
MCCM : Monte Carlo Correlation Matrices
MCCM is a Windows 9x/NT/2000/XP/7 program written in Delphi Pascal that performs Monte Carlo analyses for several bivariate correlations simultaneously, particularly useful to show the effect on Type I error (or power) when testing several bivariate correlations all at alpha of .05. That is, it will generate data to illustrate the effect on Type I error of running multiple bivariate correlations simultaneously. The user can specify item means and standard deviations as well as correlations.
MCMR : Monte Carlo for Multiple Regression
MCMR is a Windows 9x/NT/2000/XP/Vista/7 program written in Delphi Pascal that performs Monte Carlo analyses for Multiple Linear Regression with up to 6 predictors. The user must specify means and standard deviations as well as correlations, but can also import a single file for analysis. MCMR was most recently presented at the annual meeting of the American Educational Research Association, March 2008, New York, NY, and an article about MCMR was in Multiple Linear Regression Viewpoints (www.glmj.org/).
· Brooks, G. P. (2008, March). A Monte Carlo program for multiple linear regression. Paper accepted for presentation at the 2008 meeting of the American Educational Research Association, New York, NY.
· Brooks, G. P. (2008). A Monte Carlo program for multiple linear regression. Multiple Linear Regression Viewpoints, 34(2), 15-43.
o Instructor's Guide from AERA 2008 (very large file, about 12 MB)
MNDG : Multivariate Normal Data Generator
MNDG is a Windows 9x/NT/2000/XP/7 program written in Delphi Pascal that generates Multivariate Normal data. A program announcement for MNDG was published in 2002 in Applied Psychological Measurement .
· Brooks, G. P. (2002). MNDG: Multivariate Normal Data Generator. Applied Psychological Measurement, 26, 353-354 .
MUD : Messy Ugly Data Generator
MUD is a Windows 9x/NT/2000/XP program written in Delphi Pascal that generates data to mimic survey/questionnaire data. The user can specify item means and standard deviations as well as inter-item correlations. The user can specify an embedded multiple-item scale with separate inter-item correlations (the total scale score is used in calculating correlations for the questionnaire variables).
· Paper presented at AERA 2006
TAP : Test Analysis Program
TAP is a Windows 9x/NT/2000/XP/7 program written in Delphi Pascal that performs test analyses and item analyses based on classical test theory. TAP is a classical test and item analysis program. It provides reports for examinee total scores, item statistics (e.g., item difficulty, item discrimination, point-biserial), options analyses, and other useful information. TAP also provides individual examinee reports of total scores and item responses. Although any AUXILIARY MATERIALS may have been created for use with a previous version of the program, they should still be very useful with newer versions of the program; that is, changes to the program usually are not dramatic enough to make earlier manuals obsolete. TAP was most recently presented at the annual meeting of the American Psychological Society, May 2004, Chicago, IL, and a program announcement for TAP was published in 2003 in Applied Psychological Measurement .
· Brooks, G. P., Johanson, G. A., Lewis, M., & Kyei-Blankson, L. (2003, April). Using the Test Analysis Program in introductory measurement courses . Paper discussion presented at the meeting of the American Educational Research Association, Chicago, IL.
· Brooks, G. P., & Johanson, G. A. (2003). Test Analysis Program. Applied Psychological Measurement, 27, 305-306.
o Download TAP.EXE Most Recent Version, May require more RAM memory (N<25000)
o User's Guide by Marsha Lewis (written for TAP4 but mostly still valid)
o Instructor's Guide by George Johanson (written for TAP4 but mostly still valid)
o Download TAP10K.EXE 2014 Version (still with N<9999)
o Download TAP6.EXE 2005 Version
User Agreement
Carefully read the following User Agreement ( License , Terms of Use , and Disclaimer of Warranty ). Use of the software provided by the author constitutes acceptance of these terms and conditions of use. If you do not agree to the terms of this agreement, do not use the software.
License
ALL software (computer programs described above and listed below) is copyrighted software (copyrighted by the author, Gordon P. Brooks) and is NOT in the public domain. The user is granted license, not ownership, to use the software on any computer, subject to the restrictions described in the User Agreement and Disclaimer.
| BMA: Basic Matrix Algebra (for Statistics).............{Copyright © 2003-2018} |
|
| * | DGW: Data Generator for Windows......................{Copyright © 2003-2018} |
| * | FISH: Friendly Introductory Statistics Help.............{Copyright © 2003-2018} |
| * | HMF: Harmonic Mean Finder.................................{Copyright © 2004-2018} |
| * | MC2G: Monte Carlo Analyses for 1 or 2 Groups.....{Copyright © 2002-2018} |
| * | MC3G: Monte Carlo Analyses for 3 Groups............{Copyright © 2001-2018} |
| * | MC4G: Monte Carlo Analyses for up to 4 Groups...{Copyright © 2003-2018} |
| * | MCCM: Monte Carlo Correlation Matrices.............{Copyright © 2004-2018} |
| * | MCMR: Monte Carlo Multiple Regression..............{Copyright © 2004-2018} |
| * | MNDG: Multivariate Normal Data Generator........{Copyright © 2001-2018} |
| * | MUD: Messy Ugly Data Generator.........................{Copyright © 2004-2018} |
| * | TAP: Test Analysis Program....................................{Copyright © 2003-2018} |
The software is Freeware. The user is licensed to make an unlimited number of exact copies of the software, to give these exact copies to any other person for their personal use, and to distribute the software in its unmodified form only via disk or local area network. If these methods of distribution are unavailable, any person wanting to use the software should be directed either to contact the author or to visit the author's internet web site (the URL is provided below and may be posted on any web site).
If you find the software useful, if you copy it for others, if you find problems or bugs in the software, if you post a link to the author's web site, or if you use the software for teaching, educational, or consulting purposes, you are requested to inform the author:
| * | Author: Gordon P. Brooks, Ph.D. |
| * | Address: McCracken Hall 302Q, Dept of Educational Studies, Ohio University, Athens, OH 45701 |
| * | Telephone: 740-593-0880 |
| * | Email: brooksg@ohio.edu Web Page (primary): https://people.ohio.edu/brooksg/ |
| * | Web Page (mirror): ohiouniversityfaculty.com/brooksg/ |
Terms of Use
The software may be used and copied for personal use subject to the following license restrictions:
· the software shall be copied and supplied in its original, unmodified form;
· the software shall not be sold or used for profit, nor may any amount or fee be charged for use, rental, lease, or distribution of the software;
· the software shall not be included or bundled with any other goods or services;
· the software may not be decompiled, disassembled, or otherwise modified;
any such unauthorized use without expressed, written permission granted by the author shall result in immediate and automatic termination of this license.
Disclaimer of Warranty
Great effort has been made to ensure the accuracy of the software, the algorithms and subroutines used, and the results produced by the software, both on screen and printed. However, no warranty is expressed or implied concerning the function or fitness of the software, subroutines, or results provided by the software. That is, the software is provided on an "as is" basis without warranty of any kind. The author shall have neither liability nor responsibility to any person or entity with respect to any liability, loss, or damage directly or indirectly arising from the use of or inability to use the software or the results of the analyses provided by the software, even if the author has been advised of the possibility of such damages or claims. In no event shall any liability exceed the license fee paid to the author of the software. In the event of invalidity of any provision of this license, the user agrees that such invalidity shall not affect the validity of the remaining portions of this license.
All rights not expressly granted here are reserved to the author of the software.