STAT WEBLINKS

SITE: http://www.psychstat.smsu.edu/introbook/normal.htm 

PURPOSE: You can convert z scores to areas under the normal curve, or find the area under the normal curve corresponding to two different z scores. 

SITE:  http://www.statsoft.com

KEYWORDS: Variables, Normal Distribution, p-value, distribution tables, t-test , multiple regression

OVERVIEW: The link of interest in this site is the Electronic Statistics Textbook located on the homepage as the first listing of available resources. STATSOFT is the company that produces a statistics program. Generally this material looks ok. The textbooks table of contents offer four main subjects that are valuable in explaining statistical terms. They are as follows: Elementary Concepts, Basic Statistics, Distribution Tables and Statistical Glossary. Click on the Electronic Statistics Textbook to enter the link.

MULTIPLE REGRESSION

Click on the topic LINEAR REGRESSION from the textbook menu

ELEMENTARY CONCEPTS

1.      Click on the first term under the table of contents on the right side of the screen

2.     Click on the underlined topic of interest from this page. 

3.     Helpful subtopics with detailed answers to introductory questions include:

1.     What are variables?

2.     Dependent vs. Independent Variables

3.     Measurement scales

4.     What is statistical significance (p-value)?

5.     Why the normal distribution is important?

BASIC STATISTICS

1.   Click on the second term under the table of contents on the right side of the screen.

2.     Click on the first and third bulleted headings, Descriptive Statistics and t-test for independent samples for information pertaining to these relevant topics.

STATISTICAL GLOSSARY

1.        Scroll down the table of contents headings until Statistical Glossary appears (sixth from the last selection) and click on it for a thorough alphabetical listing of statistical terms.

DISTRIBUTION TABLES

1.       Click on this topic from the table of contents for illustrations of various tables (third from the last selection).

2.       The Z Table, t table and Chi-Square table may be of interest

PURPOSES: This online textbook covers a wide variety of information from the novice to an experienced student in statistics.

SITE:  http://trochim.human.cornell.edu/kb/contents.htm

KEYWORDS:  Sampling, Normal Distribution, t-test, Reliability, Validity, Survey, Scaling, Design , SIMPLE REGRESSION

OVERVIEW: Dr. W  William Trochim is a professor of Policy Analysis and Management at Cornell University and calls his site the Research Methods Knowledge Base. Dr. Trochims definitions and explanations of statistical terms, both beginner and advanced, are comprehensive and easily understood.   

All of the material is helpful here but for the purposes of this class, most relevant is the chapter GENERAL LINEAR MODEL under the section INFERENTIAL STATISTICS. This is a good explanation of the simple regression model in a graphical format.

Other, more basic stuff that may prove helpful:

From the fourth heading, Sampling, all of the subtopics may be useful to you: external validity, sampling terminology, statistical terms in sampling, probability sampling and nonprobability sampling.

The fifth heading, Measurement, provides the following useful subtopics: construct validity, reliability, survey research, scaling and qualitative measures.

The sixth heading, Design, offers good explanations for the following: internal validity and introduction to design.

The seventh heading, Analysis, provides information regarding: descriptive statistics (mean, standard deviation, correlation etc.) and inferential statistics (t-test).

PURPOSES: Dr. Trochim provides comprehensive and well-described basic examples.

SITE: http://davidmlane.com/hyperstat/index.html 

KEYWORDS: multiple regression

OVERIVEW: This is the hyperstat program home page. They have an online tutorial.

1. Click on chapter 15 (Prediction)
2. There are several topics here providing some background.
3.  CHAPTER 1 has a bit on simple regression
4.  CHAPTER 5 has several items on multiple regression

This page also links you to some other text sources as follows below. If some of the pages come up asking for a password, just click cancel, and the pages may still come up.

Text
Inferences for regression
by H. J. Newton, J. H. Carroll, N. Wang, and D. Whiting

Multiple regression
by StatSoft

Regression by G. David Garson.

Linear regression, multiple regression
by Sunkara, V. Patil, R. Bellary, G. Quisumbing, H. Le, and Z. Zhou

The general linear model, Regression toward the mean by William Trochim

Correlation coefficient
by Will Hopkins of the University of Otago

SITE: http://www.exeter.ac.uk/~SEGLea/multvar2/multreg1.html 

KEYWORDS: Multiple regression

OVERVIEW: Dr. Steven Lea, Department of Psychology, University of Exeter (England): Introduction to multiple regression course

SITE: http://www.exeter.ac.uk/~SEGLea/multvar2/multreg2.html

KEYWORDS: Multiple regression; dummy variables

OVERVIEW: More advanced issues in multiple regression from Dr. Lea.

SITE: http://www.windsor.igs.net/~nhodgins/multiple_regression_research_analysis.html

OVERVIEW: Some simple points about multiple regression.

SITE: http://m1.aol.com/imsap/MMR.html

KEYWORDS: interaction terms

OVERVIEW: Some comments on entering interaction terms, with some graphic backup, from Scott Petersen, someone with an MA in I-O psychology

SITE: http://m1.aol.com/imsap/homogeneity.html

KEYWORDS: assumptions, homogeneity of variance

OVERVIEW: Talks about homogeneity of variance assumption, also from Scott Petersen