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JBean

Jerry Bean

Recently Published

Bean-Bowen ESSP Social Isolation Scale IRT Replication
This article illustrates how RMarkdown can be used in the research replication Process.
Using R in Social Work Research: An Item Response Theory Analysis of the School Success Profile Future Orientation Scale
This document is one of a series designed to illustrate how the R statistical computing environment can be used to conduct various types of social work research. In this report, we present an example of using R to conduct an item response theory analysis (IRT) of the Future Orientation Scale (FOS) included in the School Success Profile compendium of scales designed for use by school social workers.
Using R for Social Work Research: Item Response Theory
This document is one of a series designed to illustrate how the R statistical computing environment can be used to conduct various types of social work research. In this report, we present an example of using R to conduct an item response theory analysis (IRT) of the Academic Motivation Scale (AMS) included in a compendium of scales designed for use by school social workers.
Using R in Social Work Research: Exploratory Factor Analysis
This document is one of a series designed to illustrate how the R statistical computing environment can be used to conduct various types of social work research. In this report, we present an example of using R to conduct an exploratory factor analysis (EFA) of a set of items designed to measure the perceptions of middle and high school students had about their school. The items evolved over a series of middle and high school needs assessment projects and the EFA was designed to assess the extent to which they measured a construct we call called school climate.
Using R for Social Work Research: Computing Effect Sizes for Intervention Research
This document is one of a series designed to illustrate how the R statistical computing environment can be used in various types of social work research. In this report, we present examples about how to use R packages to compute various effect sizes commonly used in intervention research and reported in meta-analysis studies.
Using R for Social Work Research: Meta-Analysis
This document is one of a series of documents illustrating how R can be used in social work research. In this report, we present an example of using R to conduct a meta-analysis.
Using R for Social Work Research: Structural Equation Modeling
This document is one of a series designed to illustrate how the R statistical computing environment can be used to conduct various types of social work research. In this report, we present an example of using R for structural equation modeling studies.
Using R for Social Work Research: Confirmatory Factor Analysis
This document is one of a series designed to illustrate how the R statistical computing environment can be used to conduct various types of social work research. In this report, we present an example of using R for confirmatory factor analysis studies.
Using R for Social Work Research: Intervention Research
This document is one of a series designed to illustrate how the R statistical computing environment can be used to conduct various types of social work research. In this report, we present an example of using R to plan and analyze an intervention evaluation study.
Using R for Social Work Research: Survey Research
This document is one of a series designed to illustrate how the R statistical computing environment can be used to conduct various types of social work research. In this report, we present an example about how R can be used for social work survey research.