Research has linked pre- and perinatal complications (PPCs) with increased risk for autism spectrum disorder (ASD). However, PPCs are also known risk factors for other mental health disorders. This study explored which PPCs are specific risk factors for ASD, as opposed to other forms of psychopathology, among a large sample of clinically-referred…

This study's aim was to examine the impact of pandemic emergency Home- and Community-Based Services (HCBS) payments on the continuity and security of people with intellectual and developmental disabilities (IDD). Using a multilevel logistic regression, we analyzed secondary Personal Outcome Measures interviews from 738 people with IDD (March 2020…

The study analyzed the factors that influence the individual research output of university professors in Ecuador, Peru, and Colombia, using multinomial logistic regression technique. Results showed that previous research publications are the main factor that explains subsequent research production. Age, academic rank, time invested on research,…

The aim of this quantitative study was to scrutinize the significance levels in logistic regression model used for classifying Turkish listening comprehension success (successful/unsuccessful) of the 5th grade Turkish students taking compulsory Turkish language course. The study was conducted with 286 students at 5th grade in six different private…

Biodiversity loss and rising global challenges are directly linked to the current climate crisis. Peoples' behaviors and lives are being negatively impacted daily, ushering in a new wave of physiological and emotional distress referred to as eco-anxiety, which is being experienced by young people. Urgent concerns for the need for environmental…

This study examines the extent to which parental involvement factors predict the likelihood of Hispanic non-native English speakers' (NNESs) postsecondary education (PES) enrollment after controlling for socioeconomic status and linguistic factors. A nationally representative Education Longitudinal Study dataset and a binary multilevel logistic…

Using data from a large-scale senior exit survey administered at public high schools in New York City, this study aims to parse out what quantitative and qualitative characteristics of postsecondary advising are most influential in predicting students' likelihood to attend college. We apply a broader conceptual framework for postsecondary…

This study tests theories of social learning and strain to explain non-medical prescription drug use (NMPDU) among Latino college students at a Hispanic-Serving Institution (HSI). Logistic regression analyses indicate social learning and negative stressors help explain such usage, while refined models suggest that Latinos use of NMPD is primarily…

We investigated the relationship between Asian parent empowerment and their children's college enrollment in a sample of 357 Asian parents from various ethnic subgroups using the High School Longitudinal Study 2009. A multinomial logistic regression indicated differences in Asian students' college enrollment by ethnic subgroup and income and in…

A log-linear model (LLM) is a well-known statistical method to examine the relationship among categorical variables. This study investigated the performance of LLM in detecting differential item functioning (DIF) for polytomously scored items via simulations where various sample sizes, ability mean differences (impact), and DIF types were…

Background and Aims: The fastest growing group of students with disabilities are those with Autism Spectrum Disorder (ASD). States annually report on post-high school outcomes (PSO) of exited students. This study sought to fill two gaps in the literature related to PSO for exited high-school students with ASD and the use of state data and…

Background: Increasing COVID-19 vaccine intention in college students is essential to mitigate serious illness and transmission to higher risk populations. We currently do not have an adequate understanding of college students' perceptions and likelihoods of getting vaccinated against COVID-19. Purpose: To quantitatively examine the demographic…

Background: Students' attitudes and satisfaction are important predictors of educational quality, especially under such special situation as large scale home-based online education during the COVID19 epidemic. Objectives: This study investigated middle school students' attitudes and satisfaction about home-based online education during COVID19…

When contextual features of test-taking environments differentially affect item responding for different test takers and these features vary across test administrations, they may cause differential item functioning (DIF) that varies across test administrations. Because many common DIF detection methods ignore potential DIF variance, this article…

The standard regression technique for modeling binary response variables in education research is logistic regression. The odds ratios from these models are used to quantify and communicate variable effects. These effects are sometimes pooled together as in a meta-analysis. We argue that this process is problematic as odds ratios calculated from…