Publications by authors named "D Betsy McCoach"

Objective: To demonstrate the use of the alignment method to evaluate whether surveys function similarly (i.e., have evidence of measurement invariance) across culturally diverse intersectional groups.

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Objective: The current study examines dynamic, bidirectional associations between parent and adolescent symptom improvement in response to children's therapy for posttraumatic stress disorder (PTSD).

Method: Data were collected from a racially and ethnically heterogeneous sample of 1,807 adolescents (age 13-18 years old; 69% female) and a parent participating in Trauma-Focused Cognitive Behavioral Therapy (TF-CBT) at a community outpatient behavioral health clinic. Parents self-reported their depressive symptoms and youth self-reported their PTSD and depressive symptoms at the onset of treatment and every three months for up to nine months.

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Individuals differ in their ability to perceive and learn unfamiliar speech sounds, but we lack a comprehensive theoretical account that predicts individual differences in this skill. Predominant theories largely attribute difficulties of non-native speech perception to the relationships between non-native speech sounds/contrasts and native-language categories. The goal of the current study was to test whether the predictions made by these theories can be extended to predict individual differences in naive perception of non-native speech sounds or learning of these sounds.

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The growth of school-based initiatives incorporating multitiered systems of support (MTSS) for social, emotional, and behavioral domains has fueled interest in behavioral assessment. These assessments are foundational to determining risk for behavioral difficulties, yet research to date has been limited with regard to when and how often to administer them. The present study evaluated these questions within the framework of behavioral stability and examined the extent to which behavior is stable when measured by two school-based behavioral assessments: the Direct Behavior Rating-Single-Item Scales (DBR-SIS), and the Behavioral and Emotional Screening System (BESS).

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Mixture models can be used for explanation or individual prediction and classification. In practice, researchers are often tempted to make the class membership manifest by classifying cases according to their class of maximum posterior probability and using the "observed" class membership directly or as a variable in follow-up analyses to predict distal outcomes. This study revisits the issue of correct class assignment in latent profile analysis by providing an example where the number of classes is known (3-classes), sampling variability is eliminated, and precise estimates of classification indices are provided.

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