The Effects of Artificial Intelligence on Implementors' Fidelity of Instructional Strategies During Handwashing Acquisition in Children with Autism.

Handwashing is a vital skill for maintaining health and hygiene. For individuals with intellectual and developmental disabilities (IDD), such as autism spectrum disorder, evidence-based strategies, such as prompting and task analysis, may be effective in teaching these skills. Due to the shortage of experts who teach individuals with IDD skills such as handwashing, staff working with children need a means of ensuring these instructional strategies are implemented with fidelity.

Exact solutions for area-based delay discounting analyses.

Novel methods are provided for calculating a model-based area under curve (MB-AUC) using exact solution. These model-specific calculations produce an AUC ratio that does not need numerical approximation nor access to the source discounting data to perform. This approach supports a calculation of MB-AUC that is useful in summarizing current and retrospective discounting analyses using fitted models (e.

A behavioral economic demand analysis of mothers' decision to exclusively breastfeed in the workplace.

The present study determined whether behavioral economic demand analysis could characterize mothers' decision to exclusively breastfeed in the workplace. Females, aged between 18 and 50 who have given birth in the past three years, completed a novel demand task with hypothetical scenarios, in which they returned to work with a 2-month-old baby. Participants rated their likelihood of breastfeeding their baby at a workplace lactation room versus formula-feeding their baby at their desk.

A cluster analysis of mothers of reproductive age based on their attitude and risk of alcohol use.

The rates of alcohol use and binge drinking are increasing among women. To examine factors that can differentiate women with low-risk alcohol use from those with high-risk alcohol use, the present study explored whether there would be distinct subgroups of mothers who differed in their attitudes and risk of alcohol use. A sample of 141 women aged between 18 and 50 years old who had given birth within 3 years was recruited on Amazon Mechanical Turk.

Meta-Analytic Methods to Detect Publication Bias in Behavior Science Research.

Publication bias is an issue of great concern across a range of scientific fields. Although less documented in the behavior science fields, there is a need to explore viable methods for evaluating publication bias, in particular for studies based on single-case experimental design logic. Although publication bias is often detected by examining differences between meta-analytic effect sizes for published and grey studies, difficulties identifying the extent of grey studies within a particular research corpus present several challenges.

Predicting Intention to Take a COVID-19 Vaccine in the United States: Application and Extension of Theory of Planned Behavior.

Purpose: This study aims to apply and extend the theory of planned behavior (TPB) to predict intention to take a COVID-19 vaccine.

Design: Cross-sectional.

Setting: Online.

Meta-analyses and effect sizes in applied behavior analysis: A review and discussion.

For more than four decades, researchers have used meta-analyses to synthesize data from multiple experimental studies often to draw conclusions that are not supported by individual studies. More recently, single-case experimental design (SCED) researchers have adopted meta-analysis techniques to answer research questions with data gleaned from SCED experiments. Meta-analyses enable researchers to answer questions regarding intervention efficacy, generality, and condition boundaries.

An exact solution for unit elasticity in the exponential model of operant demand.

Research applying the behavioral economic demand framework is increasingly conducted across disciplines. With respect to psychopharmacology and substance abuse, real and hypothetical purchase tasks are regularly used to evaluate the demand for various substances and reinforcers, such as alcohol. At present, a variety of methods has been introduced to solve for the point of unit elasticity, or Pmax, in the exponential model of demand; however, these methods vary in their potential for error.

The Demand Curve Analyzer: Behavioral economic software for applied research.

Free and open-source software for applying models of operant demand called the Demand Curve Analyzer (DCA) was developed and systematically evaluated for use in research. The software was constructed to streamline the use of recommended screening measures, prepare suitable scaling parameters, fit one of several models of operant demand, and provide publication-quality figures. The DCA allows users to easily import price and consumption data into spreadsheet-based controls and to perform statistical modeling with the aid of a graphical user interface.

Discounting model selection with area-based measures: A case for numerical integration.

A novel method for analyzing delay discounting data is proposed. This newer metric, a model-based Area Under Curve (AUC) combining approximate Bayesian model selection and numerical integration, was compared to the point-based AUC methods developed by Myerson, Green, and Warusawitharana (2001) and extended by Borges, Kuang, Milhorn, and Yi (2016). Using data from computer simulation and a published study, comparisons of these methods indicated that a model-based form of AUC offered a more consistent and statistically robust measurement of area than provided by using point-based methods alone.

The discounting model selector: Statistical software for delay discounting applications.

Original, open-source computer software was developed and validated against established delay discounting methods in the literature. The software executed approximate Bayesian model selection methods from user-supplied temporal discounting data and computed the effective delay 50 (ED50) from the best performing model. Software was custom-designed to enable behavior analysts to conveniently apply recent statistical methods to temporal discounting data with the aid of a graphical user interface (GUI).

THE GOOD NUTRITION GAME: Extending the Good Behavior Game to Promote Fruit and Vegetable Intake.

Background: Consumption of diverse and nutritious food is challenging for children diagnosed with Autism Spectrum Disorder.

Objective: We created the Good Nutrition Game and implemented the intervention among students diagnosed with Autism Spectrum Disorder at a therapeutic after-school socialization program.

Method: We divided students into two teams in each session.

Home behavioral economics: Childcare decisions in the United States and Norway.

This research investigated how a couple decides which parent stays home as a childcare provider by attempting to determine the economic value on maternal care versus paternal care while examining the potential effects of nationality, gender role attitudes, and social support. We collected data from 240 American participants and 250 Norwegian participants who were asked to decide how much a mother needs to earn to allow her husband to stay at home to provide childcare and how much a father needs to earn to allow his wife to stay at home and provide childcare, in addition to items assessing gender role attitudes. No effect of social support was found, but Norwegians were slightly more likely than Americans to place a heavier earning burden on the husband.

Inherently irrational? A computational model of escalation of commitment as Bayesian Updating.

Monte Carlo simulations were performed to analyze the degree to which two-, three- and four-step learning histories of losses and gains correlated with escalation and persistence in extended extinction (continuous loss) conditions. Simulated learning histories were randomly generated at varying lengths and compositions and warranted probabilities were determined using Bayesian Updating methods. Bayesian Updating predicted instances where particular learning sequences were more likely to engender escalation and persistence under extinction conditions.

Teaching self-control with qualitatively different reinforcers.

This study examined the effectiveness of using qualitatively different reinforcers to teach self-control to an adolescent boy who had been diagnosed with an intellectual disability. First, he was instructed to engage in an activity without programmed reinforcement. Next, he was instructed to engage in the activity under a two-choice fixed-duration schedule of reinforcement.