Abstract BackgroundUndergraduate engineering students experiencing distress are less likely than peers to ask for professional help. A population‐specific instrument to facilitate the identification of factors that influence mental healthcare utilization could guide development and testing of interventions to increase help seeking. PurposeWe used mixed methods guided by the Integrated Behavioral Model (IBM) to develop and evaluate the Undergraduate Engineering Mental Health Help‐Seeking Instrument (UE‐MH‐HSI). MethodFirst, we adapted existing measures of mental health help‐seeking intention and mechanisms (i.e., attitudes, perceived norm: injunctive, perceived norm: descriptive, personal agency: autonomy, personal agency: capacity). Second, we coded qualitative interviews (N = 33) to create population‐specific mental health help‐seeking belief measures (i.e., outcome beliefs, experiential beliefs, beliefs about others' expectations, beliefs about others' behavior, beliefs about barriers and facilitators). Third, we tested the psychometric properties using data from 596 undergraduate engineering students at a historically White, research‐focused institution in southern United States. ResultsPsychometric analyses indicated that (1) help‐seeking mechanism and intention measures demonstrated unidimensionality, internal consistency, construct replicability, and sufficient variability; (2) mechanism measures demonstrated criterion evidence of validity; and (3) most items within the belief measures demonstrated sufficient variability and convergent evidence of validity. ConclusionsThe UE‐MH‐HSI is an evidence‐based tool for investigating mental health help‐seeking factors and their relationship to help‐seeking behavior, well‐being, academic success, and engineering identity formation. Guidelines for use are provided.
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Family socioeconomic status and children's screen time
Abstract ObjectiveThis mixed‐methods study examined whether higher‐socioeconomic status (SES) children's digital technology use adhered to contemporaneous pediatric guidelines, how it compared to lower‐SES children, and why, as analyses showed, higher‐SES children's technology use far exceeded pediatric recommendations. Background2013 American Academy of Pediatrics (AAP) guidelines recommended limited “screen time” for children. Higher SES families tend to follow guidelines, but digital technology use—simultaneously a health behavior and a pathway for building human capital—has complex implications. MethodQuantitative analyses provide new nationally representative estimates of the relationship between social class and 9‐ to 13‐year‐old children's technology time (including television), device access, and parenting rules (2014 PSID Child Development Supplement,N = 427). Qualitative analyses of 77 longitudinal higher‐SES parent interviews articulated explanatory processes. ResultsHigher‐SES children used technology as frequently as others and in excess of recommendations. Their device access, activities, and agency in adhering to rules, however, differed from others. Qualitative analysis uncovered processes that helped explain these findings: parents' ambivalence about technology and perception that expert guidance is absent or unrealistic, and children's exercise of agency to use technology facilitated by “concerted cultivation” parenting styles, led to higher‐SES individualistic parenting practices that supported children's increased non‐television technology use. ConclusionCultures and structures related to children's technology use are in flux, and classed norms and understandings are emerging to construct relevant class‐based distinctions around parenting.
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- Award ID(s):
- 2042875
- PAR ID:
- 10446993
- Publisher / Repository:
- Wiley-Blackwell
- Date Published:
- Journal Name:
- Journal of Marriage and Family
- Volume:
- 84
- Issue:
- 4
- ISSN:
- 0022-2445
- Page Range / eLocation ID:
- p. 1129-1151
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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