Family Life Project Executive Function Task Battery

2010 ◽  
Author(s):  
Michael T. Willoughby ◽  
◽  
Clancy B. Blair ◽  
R. J. Wirth ◽  
Mark Greenberg
2013 ◽  
Vol 78 (5) ◽  
pp. 24-35 ◽  
Author(s):  
Michael Willoughby ◽  
Margaret Burchinal ◽  
Patricia Garrett-Peters ◽  
Roger Mills-Koonce ◽  
Lynne Vernon-Feagans ◽  
...  

2016 ◽  
Vol 50 (4) ◽  
pp. 359-372 ◽  
Author(s):  
Michael T. Willoughby ◽  
Brooke Magnus ◽  
Lynne Vernon-Feagans ◽  
Clancy B. Blair ◽  

Substantial evidence has established that individual differences in executive function (EF) in early childhood are uniquely predictive of children’s academic readiness at school entry. The current study tested whether growth trajectories of EF across the early childhood period could be used to identify a subset of children who were at pronounced risk for academic impairment in kindergarten. Using data that were collected at the age 3, 4, and 5 home assessments in the Family Life Project ( N = 1,120), growth mixture models were used to identify 9% of children who exhibited impaired EF performance (i.e., persistently low levels of EF that did not show expected improvements across time). Compared to children who exhibited typical trajectories of EF, the delayed group exhibited substantial impairments in multiple indicators of academic readiness in kindergarten (Cohen’s ds = 0.9–2.7; odds ratios = 9.8–23.8). Although reduced in magnitude following control for a range of socioeconomic and cognitive (general intelligence screener, receptive vocabulary) covariates, moderate-sized group differences remained (Cohen’s ds = 0.2–2.4; odds ratios = 3.9–5.4). Results are discussed with respect to the use of repeated measures of EF as a method of early identification, as well as the resulting translational implications of doing so.


2016 ◽  
Vol 29 (1) ◽  
pp. 107-120 ◽  
Author(s):  
Michael T. Willoughby ◽  
Nisha C. Gottfredson ◽  
Cynthia A. Stifter ◽  

AbstractThis study tested the prospective association between observational indicators of temperament, which were obtained across multiple assessments when children were 6–36 months of age, and parent and teacher reports of children's attention-deficit/hyperactivity disorder (ADHD) behaviors, when children were in first grade. Data were drawn from the Family Life Project and included 1,074 children for whom temperament and either parent- or teacher-reported ADHD behavioral data were available. The results of variable-centered regression models indicated that individual differences in temperament regulation, but not temperamental reactivity, was uniquely predictive of parent- and teacher-reported ADHD behaviors. Latent profile analyses were used to characterize configurations of temperamental reactivity and regulation. Person-centered regression models were subsequently estimated in which temperamental profile membership replaced continuous indicators of temperamental reactivity and regulation as predictors. The results of person-centered regression models indicated that temperamental reactivity and regulation both contributed (both alone and in combination) to the prediction of subsequent ADHD behaviors. In general, the predictive associations from early temperament to later ADHD were of modest magnitude (R2 = .10–.17). Results are discussed with respect to interest in the early identification of children who are at elevated risk for later ADHD.


2021 ◽  
pp. 1-18
Author(s):  
Seulki Ku ◽  
Clancy Blair

Abstract We identified family risk profiles at 6 months using socioeconomic status (SES) and maternal mental health indicators with data from the Family Life Project (N = 1,292). We related profiles to executive function (EF) at 36 months (intercept) and growth in EF between 36 and 60 months. Latent profile analysis revealed five distinct profiles, characterized by different combinations of SES and maternal mental health symptoms. Maternal sensitivity predicted faster growth in EF among children in the profile characterized by deep poverty and the absence of maternal mental health symptoms. Maternal sensitivity also predicted higher EF intercept but slower EF growth among children in the profile characterized by deep poverty and maternal mental health symptoms, and children in the near poor (low SES), mentally healthy profile. Maternal sensitivity also predicted higher EF intercept but had no effect on growth in EF in the near poor, mentally distressed profile. In contrast, maternal sensitivity did not predict the intercept or growth of EF in the privileged SES/mentally healthy profile. Our findings using a person-centered approach provide a more nuanced understanding of the role of maternal sensitivity in the growth of EF, such that maternal sensitivity may differentially affect the growth of EF in various contexts.


2020 ◽  
Vol 5 (5) ◽  
pp. 1221-1230
Author(s):  
Jane Roitsch ◽  
Kimberly A. Murphy ◽  
Anastasia M. Raymer

Purpose The purpose of this study was to investigate executive function measures as they relate to clinical and academic performance outcomes of graduate speech-language pathology students. Method An observational design incorporating correlations and stepwise multiple regressions was used to determine the strength of the relationships between clinical outcomes that occurred at various time points throughout the graduate program (clinical coursework grades throughout the program and case study paper scores at the end of the program), academic outcomes (graduate grade point average and Praxis II exam in speech-language pathology scores), and executive function (EF) scores (EF assessment scores, self-reported EF scores). Participants were 37 students (36 women, M age = 24.1) in a master's degree program in speech-language pathology at a southeastern U.S. university during the 2017–2018 academic year. Results Findings of this preliminary study indicated that a limited number of objective EF scores and self-reported EF scores were related to clinical and academic outcomes of graduate speech-language pathology students. Conclusion As results of this preliminary study suggest that EF tests may be related to clinical and academic outcomes, future research can move to study the potential role of EF measures in the graduate admissions process in clinical graduate programs such as speech-language pathology.


2009 ◽  
Vol 14 (1) ◽  
pp. 4-11 ◽  
Author(s):  
Jacqueline Hinckley

Abstract A patient with aphasia that is uncomplicated by other cognitive abilities will usually show a primary impairment of language. The frequency of additional cognitive impairments associated with cerebrovascular disease, multiple (silent or diagnosed) infarcts, or dementia increases with age and can complicate a single focal lesion that produces aphasia. The typical cognitive profiles of vascular dementia or dementia due to cerebrovascular disease may differ from the cognitive profile of patients with Alzheimer's dementia. In order to complete effective treatment selection, clinicians must know the cognitive profile of the patient and choose treatments accordingly. When attention, memory, and executive function are relatively preserved, strategy-based and conversation-based interventions provide the best choices to target personally relevant communication abilities. Examples of treatments in this category include PACE and Response Elaboration Training. When patients with aphasia have co-occurring episodic memory or executive function impairments, treatments that rely less on these abilities should be selected. Examples of treatments that fit these selection criteria include spaced retrieval and errorless learning. Finally, training caregivers in the use of supportive communication strategies is helpful to patients with aphasia, with or without additional cognitive complications.


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