Measuring Adaptive Functioning in a Correctional Setting
An Analysis of the Problems in Everyday Living Test (Pedl)
Bibliographic Data
| ID | 21424929 |
|---|---|
| Authors | Maria Aparcero (0000-0002-5614-4949, Fordham University, corresponding author), Hyunjung Lee (0000-0003-0783-5484, Fordham University), Charity Wijetunga (The University of North Carolina School of Medicine), Erin M Conley (Fordham University), Bryn Rosenfeld (0000-0003-1399-2777, Fordham University), Heining Cham (0000-0002-2933-056X, Fordham University) |
| Year | 2024 |
| Volume | 51 |
| Issue | 12 |
| Pages | 1838-1858 |
| Publication date | 2024-12-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Criminal Justice and Behavior (JOURNAL) |
| Journal identifiers | ISSN: 0093-8548 • E-ISSN: 1552-3594 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/00938548241268135 |
| OpenAlex | W4401682744 |
| Language | EN |
| References cited | 38 |
Identifying incarcerated individuals with poor adaptive functioning (AF) is critical to ensuring their safety and preserving their legal rights, particularly when a diagnosis of intellectual disability (ID) is considered. This study examined the utility of the Problems in Everyday Living Test (PEDL) to identify incarcerated individuals with deficits in AF who may warrant further assessment for ID. The sample consisted of 154 incarcerated adults housed in mental health units in a large urban jail. Latent class analysis supported a three-class model consistent with Impaired, Borderline, and Intact groups, which differed in the level of AF and other indicators of ID. A cutoff score of 13 in the PEDL was optimal to identify incarcerated individuals with deficits in AF, possible intellectual impairment, and a history of special education. Study findings provided preliminary support for using a 12-item modified version of the PEDL as a screening tool in correctional settings
Borderline intellectual functioning · Cognition · Intellectual disability · Latent class model · Mental health · Psychiatry · Test (biology) · Clinical Psychology · Down syndrome and intellectual disability research · Healthcare Decision-Making and Restraints · Psychology · Schizophrenia research and treatment
Diagnostic and Statistical Manual of Mental Disorders
Latent Class Analysis and Finite Mixture Modeling
Latent Class Analysis With Distal Outcomes
Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling
Ten frequently asked questions about latent class analysis.
A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research
Auxiliary Variables in Mixture Modeling
A Coefficient of Agreement for Nominal Scales
Validity, interrater reliability, and measures of adaptive behavior
Estimating Latent Structure Models with Categorical Variables
| Citation velocity | historical |
|---|---|
| Highly cited | No |