Related Experiment Video
Updated: Dec 14, 2025
06:57
Modeling Verbal Behavior Deficits with the Stimulus Control Ratio Equation, SCoRE
Published on: May 14, 2019
10.8K
Citation Analysis of The Analysis of Verbal Behavior (2008-2018)
Tom Cariveau1, Halley Robbins1, Catia Cividini-Motta2
1Department of Psychology, University of North Carolina Wilmington, 601 S. College Rd., Wilmington, NC 28403 USA.
The Analysis of Verbal Behavior
|July 24, 2020
Summary
This study analyzed citations in The Analysis of Verbal Behavior (TAVB) from 2008-2018. Findings show TAVB articles primarily cite books and chapters, with self-citations being most common.
Area of Science:
- Behavior Analysis
- Scientific Communication
- Bibliometrics
Background:
- The Analysis of Verbal Behavior (TAVB) has seen calls for increased integration and collaboration.
- Previous citation analysis (Petursdottir et al., 2009) covered TAVB from 1983-2007, noting high self-citation and references to behavior-analytic journals.
- Understanding TAVB's citation landscape is crucial for assessing its reach and impact.
Purpose of the Study:
- To replicate and extend previous citation analysis of TAVB.
- To examine references within TAVB articles (2008-2018) and citations to TAVB from other venues.
- To assess current citation practices and their implications for TAVB's impact.
Main Methods:
- Citation analysis of articles published in TAVB between 2008 and 2018.
- Analysis of the sources referenced by TAVB articles.
- Analysis of which journals cite TAVB articles.
Main Results:
- Self-citations remained the predominant form of citation within TAVB.
- Articles published in TAVB most frequently referenced books and book chapters.
- The analysis provides an updated view of TAVB's referencing patterns and citation relationships.
Conclusions:
- Self-citation and referencing books/chapters are prominent practices in TAVB.
- These citation patterns may influence the journal's broader impact and integration within the field.
- Consideration of these findings can inform strategies for enhancing TAVB's reach and collaborative potential.
Related Concept Videos
01:11Statistical Analysis: Overview
13.3K
When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
13.3K
01:10Qualitative Analysis
1.1K
Qualitative analysis is the process of identifying elements, ions, or compounds in an unknown sample. It is the first and most fundamental type of analysis based on the hierarchy of analytical goals. This hierarchy is significant as it provides a structured approach to scientific research, with qualitative analysis serving as the initial step, providing essential information before moving on to quantitative or other forms of analysis.
There are two main approaches to qualitative analysis:...
There are two main approaches to qualitative analysis:...
1.1K
03:46Qualitative Analysis
23.4K
For solutions containing mixtures of different cations, the identity of each cation can be determined by qualitative analysis. This technique involves a series of selective precipitations with different chemical reagents, each reaction producing a characteristic precipitate for a specific group of cations. Metal ions within a group are further separated by varying the pH, heating the mixture to redissolve a precipitate, or adding other reagents to form complex ions.
For instance, group IV...
For instance, group IV...
23.4K
01:11Variability: Analysis
362
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
The range is a simple measure of variability, indicating the difference between the highest and...
362
02:46Chi-square Analysis
42.5K
The chi-square test is a statistical hypothesis test. It is used to check whether there is a significant difference between an expected value and an observed value. In the context of genetics, it enables us to either accept or reject a hypothesis, based on how much the observed values deviate from the expected values.
The chi-square test was developed by Pearson in 1990.
The first step of performing a Chi-square analysis is to establish a null hypothesis, which assumes that there is no real...
The chi-square test was developed by Pearson in 1990.
The first step of performing a Chi-square analysis is to establish a null hypothesis, which assumes that there is no real...
42.5K
01:12Statistical Methods to Analyze Parametric Data: ANOVA
1.3K
Analysis of Variance, or ANOVA, is a powerful statistical technique used to analyze parametric data, primarily in research and experimental studies. It's designed to compare the means of two or more groups, assisting researchers in identifying any significant differences between these group means. There are two main types of ANOVA based on the complexity of the analysis: one-way and two-way.
One-way ANOVA is applied when a single independent variable or factor is scrutinized. It compares...
One-way ANOVA is applied when a single independent variable or factor is scrutinized. It compares...
1.3K