## Multiple Regression with Discrete Dependent Variables

*John G. Orme and Terri Combs-Orme*

- Published in print:
- 2009
- Published Online:
- May 2009
- ISBN:
- 9780195329452
- eISBN:
- 9780199864812
- Item type:
- book

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780195329452.001.0001
- Subject:
- Social Work, Research and Evaluation

This book presents detailed discussions of regression models that are appropriate for discrete dependent variables, including dichotomous, polychotomous, ordered, and count variables. The major ... More

## Strategies to Approximate Random Sampling and Assignment

*Patrick Dattalo*

- Published in print:
- 2009
- Published Online:
- February 2010
- ISBN:
- 9780195378351
- eISBN:
- 9780199864645
- Item type:
- book

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780195378351.001.0001
- Subject:
- Social Work, Research and Evaluation

Random sampling (RS) and random assignment (RA) are considered by many researchers to be the definitive methodological procedures for maximizing external and internal validity. However, there is a ... More

## Micro-Econometrics for Policy, Program and Treatment Effects

*Myoung-jae Lee*

- Published in print:
- 2005
- Published Online:
- February 2006
- ISBN:
- 9780199267699
- eISBN:
- 9780191603044
- Item type:
- book

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/0199267693.001.0001
- Subject:
- Economics and Finance, Econometrics

This book brings to the fore recent advances in econometrics for treatment effect analysis. It aims to put together various economic treatment effect models in a coherent fashion, determine those ... More

## Regression and Model Fitting

*Andrew J. Connolly, Jacob T. VanderPlas, Alexander Gray, Andrew J. Connolly, Jacob T. VanderPlas, and Alexander Gray*

### in Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data

- Published in print:
- 2014
- Published Online:
- October 2017
- ISBN:
- 9780691151687
- eISBN:
- 9781400848911
- Item type:
- chapter

- Publisher:
- Princeton University Press
- DOI:
- 10.23943/princeton/9780691151687.003.0008
- Subject:
- Physics, Particle Physics / Astrophysics / Cosmology

Regression is a special case of the general model fitting and selection procedures discussed in chapters 4 and 5. It can be defined as the relation between a dependent variable, y, and a set of ... More

## Ordinary Least Squares and Logistic Regression Analysis

*David Sanders and Malcolm Brynin*

### in Research Strategies in the Social Sciences: A Guide to New Approaches

- Published in print:
- 1998
- Published Online:
- November 2003
- ISBN:
- 9780198292371
- eISBN:
- 9780191600159
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/0198292376.003.0003
- Subject:
- Political Science, Reference

Setting out the basic regression model, and comparing the analytic efficacy of the OLS the model and its extension to logistic regression.

## Regression Approach to the Test for Difference Stationarity (I)

*Michio Hatanaka*

### in Time-Series-Based Econometrics: Unit Roots and Co-integrations

- Published in print:
- 1996
- Published Online:
- November 2003
- ISBN:
- 9780198773535
- eISBN:
- 9780191596360
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/0198773536.003.0005
- Subject:
- Economics and Finance, Econometrics

This chapter describes the augmented Dickey-Fuller method for the case where Δxt is i.i.d. Difference stationarity is tested as the null hypothesis against trend stationarity, assuming that {xt} may ... More

## Identifying factors associated with the spatial distribution of disease

*Dirk U. Pfeiffer, Timothy P. Robinson, Mark Stevenson, Kim B. Stevens, David J. Rogers, and Archie C. A. Clements*

### in Spatial Analysis in Epidemiology

- Published in print:
- 2008
- Published Online:
- September 2008
- ISBN:
- 9780198509882
- eISBN:
- 9780191709128
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780198509882.003.0007
- Subject:
- Biology, Disease Ecology / Epidemiology

This chapter presents analytical techniques of regression and discrimination as a means of quantifying the effect of a set of explanatory variables on the spatial distribution of a particular ... More

## Making Social Sciences More Scientific: The Need for Predictive Models

*Rein Taagepera*

- Published in print:
- 2008
- Published Online:
- September 2008
- ISBN:
- 9780199534661
- eISBN:
- 9780191715921
- Item type:
- book

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780199534661.001.0001
- Subject:
- Political Science, Comparative Politics, Political Economy

Society needs more from social sciences than they have delivered. One reason for falling short is that social science methods have depended excessively on regression and other statistical approaches, ... More

## Forbidden Areas and Anchor Points

*Rein Taagepera*

### in Making Social Sciences More Scientific: The Need for Predictive Models

- Published in print:
- 2008
- Published Online:
- September 2008
- ISBN:
- 9780199534661
- eISBN:
- 9780191715921
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780199534661.003.0008
- Subject:
- Political Science, Comparative Politics, Political Economy

The outcomes of sociopolitical processes often depend on the factor in shortest supply; this makes multiplication of factors superior to their addition. Naïve linear regression may not detect all ... More

## Why We Should Shift to Symmetric Regression

*Rein Taagepera*

### in Making Social Sciences More Scientific: The Need for Predictive Models

- Published in print:
- 2008
- Published Online:
- September 2008
- ISBN:
- 9780199534661
- eISBN:
- 9780191715921
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780199534661.003.0012
- Subject:
- Political Science, Comparative Politics, Political Economy

When data are scattered, Ordinary Least-Squares (OLS) regression produces two quite distinct regression lines – one for y versus x and another for x versus y – and both may differ appreciably from ... More