Useful Links

Below are some links of interest for the course. They are divided into five parts. The first part is the link to the Adobe Connect online aspect, in case you lose your invite. The second part is a series of links to the course documents. The third part is several links to journals and research article sources. The fourth part consists of links directly to data sources. The final part consists of links to statistical and typesetting programs (and distributions).

Connect Pro

This is the link to the logon page of Adobe’s Connect Pro, which serves as the media through which we can collaborate, teach, and learn across distances.

	Syllabus	This document lays out the general expectations for the course, including assignments, research paper, and weekly topics.
	Style Sheet	This document gives mechanics about how I want your documents to look for this course. Please follow it carefully.
	References	This document demonstrates how to cite and reference your sources of information using the APSA citation style.
	Experimental Description Form	This document helps you structure your research before you begin collecting data. Doing this helps you determine if your experiment is even feasible.

	Lecture II	This is the recording (audio and video) for Lecture II: Comparing Means — the sequel. Note: There are a few minutes of dead space in the beginning.
	Lecture III	This is the recording (audio and video) for Lecture III: Post Hoc Tests and Linear Regression. Note: There are a couple minutes of dead space in the beginning.
	Lecture IV	This is the recording (audio and video) for Lecture IV: Monte Carlo Techniques. Note: There are a couple minutes of dead space in the beginning.
	Lecture V	This is the recording (audio and video) for Lecture V: A Full Linear Analysis, with Parametric Bootstrapping.
	Lecture VI	This is the recording (audio and video) for Lecture VI: Mid-Semester Laboratory. I'm not sure how helpful it is after the homework discussion, but if you are patient, I make a few points worth hearing again.
	Lecture VII	This is the recording (audio and video) for Lecture VII: Research Update. It also includes the part on prediction lines, which will be useful for this week's assignment.
	Lecture VIII	This is the recording (audio and video) for Lecture VIII: Generalized Linear Models (Gaussian). This lecture introduced GLMs to you and why we need this new paradigm if we want to fit more types of dependent variables.
	Lecture IX	This is the recording (audio and video) for Lecture IX: Generalized Linear Models (Binomial). This lecture discusses how to fit models with binary dependent variables. It covers most of the first half of Forsberg Chapter 7.
	Lecture X	This is the recording (audio and video) for Lecture X: Accuracy Measures. This lecture discusses many ways of measuring accuracy. It covers most of the second half of Forsberg Chapter 7.
	Lecture XI	This is the recording (audio and video) for Lecture XI: Count and Lifetime Dependent Variables. This lecture discusses modeling count dependent variables (Poisson, quasiPoisson, Negative Binomial), the bias-variance tradeoff, and lifetime dependent variables (Gamma). It covers most of Forsberg Chapters 8 and 10.
	Lecture XII	This is the recording (audio and video) for Lecture XII: Nominal and Ordinal Regression. This lecture discusses modeling nominal and ordinal dependent variables. It covers most of Forsberg Chapter 9.
	Lecture XIII	This is the recording (audio and video) for Lecture XIII: Survival Time analysis. In addition to the two presentations, this lecture covers how to model dependent variables that are survival times, and experience censoring.
	Lecture XIV	This is the recording (audio and video) for Lecture XIV: Time Series and Cross Sectional Time Series Analysis.
	Lecture XV	This is the recording (audio and video) for Lecture XV: The Final Lab, including the homework and the foreign package.

	FEMP Resources	This is a listing (with direct links) of several important journals in the field of Fire and Emergency Management.
	Edmon Low Library	This links to the page within the OSU's library website that lists all of the journals available to OSU students online.

US Census Bureau

The mission of the US Census Bureau is to serve as the leading source of quality data about the nation’s people and economy. As such, it is a fantastic source of information about the United States of America.

	CRAN	The Comprehensive R Archive Network (CRAN) is the source for the R program as well as a source for much of its documentation and extensions. You can also access (or download) the An Introduction to R document from here.
	MiKTeX	The MiKTeX distribution allows one to easily create documents in LaTeX. Download this in order to typeset your homework in LaTeX format. This program merely makes it easier to use LaTeX. You will still need a text processor, like Notepad (ewww!), WinEdt (the one I use), or LEd (freeware).
	CTAN	The TeX Archive Network (CTAN) is a set of fully-mirrored ftp sites providing the most complete, up-to-date TeX-related software possible.
	StatSoft	StatSoft’s electronic version of their textbook allows you to study specific topics in statistics. (They do, however, use screenshots of their proprietary statistics program.)