Suppressor Variables in Social Work Research: Ways to Identify in Multiple Regression Models

Journal of the Society for Social Work and Research - United States
doi 10.5243/jsswr.2010.2
Full Text
Abstract

Available in full text

Date
Authors
Publisher

University of Chicago Press

Related search

Social Psychology, Demographic Variables, and Linear Regression: Breaking the Iron Triangle in Voting Research

Political Behavior
SociologyPolitical Science
1992English

Challenges in Social Work Research – Conflicts, Barriers and Possibilities in Relation to Social Work

European Journal of Social Work
SociologySocial SciencesPolitical ScienceSocial Work
2019English

Table 3: Multiple Linear Regression Models Developed to Explain the Observed Fluxes Using All Environmental Variables.

English

Gaussian Process Regression With Multiple Response Variables

Chemometrics and Intelligent Laboratory Systems
Analytical ChemistryComputer Science ApplicationsProcess ChemistrySpectroscopyTechnologySoftware
2015English

Selection of Variables in Regression Models Based on Inflated Distributions

Pakistan Journal of Statistics and Operation Research
StatisticsProbabilityUncertaintySimulationManagement ScienceModelingOperations Research
2011English

A Discussion of the Selection of Variables in Multiple Regression Analysis

Japanese journal of applied statistics
1999English

Algorithm 55. Multiple Regression With Stepwise Selection of Variables

Applicationes Mathematicae
1978English

Developing Logistic Regression Models to Identify Salt-Affected Soils Using Optical Remote Sensing

Advances in Systems Analysis, Software Engineering, and High Performance Computing
2019English

Some Applications of Nonlinear Regression Models in Forestry Research

Forestry Chronicle
Forestry
1983English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy