The Suicidal Ideation Attributes Scale (SIDAS): Community‐Based Validation Study of a New Scale for the Measurement of Suicidal Ideation

While suicide prevention efforts are increasingly being delivered using technology, no scales have been developed specifically for web‐based use. The Suicidal Ideation Attributes Scale (SIDAS) was developed and validated as a brief, web‐based measure for severity of suicidal ideation, using an online survey of Australian adults (n = 1,352). The SIDAS demonstrated high internal consistency and good convergent validity. Frequency and controllability of thoughts were more strongly associated with suicide plans and attempts than other attributes assessed. Scores ≥ 21 indicated high risk of suicide behavior. The SIDAS appears to be a valid web‐based measure for severity of suicidal ideation.     

Sensorimotor influences on speech perception in pre-babbling infants: Replication and extension of Bruderer et al. (2015)

Psychonomic Bulletin & Review - The relationship between speech perception and production is central to understanding language processing, yet remains under debate, particularly in early...     

Prevalence and predictors of expulsion in home-based child care settings

This study explored the prevalence of expulsion in home-based child care (HBCC) settings using a nationally representative sample of HBCC providers from the National Survey of Early Care and Education. In addition to prevalence, enrollment and provider characteristics that predicted expulsion were examined. Although there is increasing awareness of the prevalence of early childhood suspension and expulsion in early care and education settings and the negative effects it has on children's development, few studies have included or focused on HBCC, where many children receive care. This study highlights that many home-based providers, especially listed providers, report that they expelled at least one child within the last year. Significant predictors of expulsion emerged, including enrollment characteristics such as caring for children with disabilities, enrolling more children, and caring for children unrelated to the provider. Provider characteristics, including years of experience, provider education, and provider age, also predicted provider report of expulsion. These results provide insight as to possible strategies that may be effective in reducing expulsion rates in this caregiving context.