RDSU - Library

The RDSU has established an agreement with UCLA to access a number of their online statistical seminars. The RDSU also plans to produce online seminars specific to researcher interests. These will also be made available to UCLA researchers.

Online Seminars currently available:

• Using SPSS to enter data - UCLA
• Using SPSS to explore data - UCLA
• Using SPSS to modify data - UCLA
• Using SPSS to manage data - UCLA
• Using SPSS to analyze data (part 1) - UCLA
• Using SPSS to analyze data (part 2) - UCLA

• Using SAS to enter data - UCLA
• Using SAS to explore data - UCLA
• Using SAS to modify data - UCLA
• Using SAS to manage data - UCLA
• Using SAS to analyze data (part 1) - UCLA
• Using SAS to analyze data (part 2) - UCLA

• Using RDSU's Data Entry System - UW

The RDSU Mini Seminar Series are a series of short movies discussing a specific problem or question.

• Mini Seminar 1.0 QUESTION: What's the big deal about skewed distributions? (8Mins 11Secs)

• Mini Seminar 2.0 QUESTION: Is it a problem if I use factor analysis on dichotomous data in scale development?(20Mins 48Secs)
• Mini Seminar 2.0 accompanying document

• Mini Seminar 3.0 QUESTION: What are Factorial Survey Methods? (36Mins 07Secs)

• Mini Seminar 4.0 QUESTION: The Issues of using Crossover Designs. (20Mins 08Secs)

The RDSU collects and provides inovative online statistical and data analytic demonstrations. These are usually java based routines.

• Demo 1 Professor Gary McClelland provides an excellent illustration of negative effects of using median splits in a regression context.
• Demo 2 Professor Russ Lenth's Java applets for power and sample size. If you do not have access to PASS, this is the next best thing.
• Demo 3 Demonstration designed to teach the effects of leverage points on a regression line.
• Demo 4 Review interpretation of simple bivariate correlations.
• Demo 5 A modern Quincunx - the Central Limit Theorem in action.

Geo-graphical and geo-statistical examples

• Mini Seminar 5.0 Using Mondrian1

• Mini Seminar 6.0 Using Mondrian2

• Mini Seminar 7.0 Geo-Vista Demo

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Documents currently available:

The RDSU has been collecting statistical, design and methodological papers for years, and has a substantial library which is open to the public.

All documents are in Adobe Acrobat PDF format. You may obtain the PDF reader FREE from either the Simonds Center or online at: http://www.adobe.com/products/acrobat/readstep2.html.

• RDSU Priorities and Activities
• Policy on Access to the Research, Design, and Statistics Unit Services
• Analysis of Pretest and Postest Differences
• Inferring Causation from Corresponding Correlations
• Exploratory Factor Analysis
• Repeated Measures Analysis with Discrete Data Using the SAS System
• Statistics and Data Mining: Intersecting Disciplines
• Data Analysis Toolkit - Tools for Transforming Data - Ladder of Powers
• A Tutorial on Logistic Regression
• Multilevel models for repeated binary outcomes: attitudes and vote over the electoral cycle (book size)
• Multilevel models for repeated binary outcomes: attitudes and vote over the electoral cycle (smaller size)
• Sample Size in Factor Analysis: The Role of Model Error
• Post-hoc power: Don’t do it.
• Proximities
  Useful definitions to statistical terms.
• Brief Guide to Questionnaire Development
• Interpretation of R2 Revisited in LISREL SEM Models
• Regression Explained in Simple Terms
• Sample Size
• SEM-1 Introduction
• A SURVEY OF DATA MINING AND KNOWLEDGE DISCOVERY SOFTWARE TOOLS
• Assessing Specific Mediational Effects in Complex Theoretical Models
• COVARIATE MEASUREMENT ERROR AND THE ESTIMATION OF RANDOM EFFECT PARAMETERS IN A MIXED MODEL FOR LONGITUDINAL DATA
• Some Practical Guidelines for Effective Sample-Size Determination

Papers on Dyadic Modeling and Analysis

• Brown's Dyadic Presentation

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• The Actor-Partner Interdependence Model
• A New Methodlogical Approach in Nursing Research: An Actor, Partner, and Interaction Effect Model for Family Outcomes
• Basic Definitions and Overview
• Introduction to Dyadic Analysis: Chanllenges and Opportunities
• Structural Equation Modeling with Interchangeable Dyads
• The Dyad as the Unit of Analysis: Conceptual and Methodological Issues
• A Multilevel Structural Equation Model for Dyadic Data