scholarly journals Association Between Post-concussion Intraindividual Variability In Sleep And Step Counts: An Exploratory Study

2020 ◽  
Vol 52 (7S) ◽  
pp. 787-787
Author(s):  
Nicole L. Hoffman ◽  
Catherine O. Feltner ◽  
Patrick J. O'Connor ◽  
Michael D. Schmidt ◽  
Robert C. Lynall ◽  
...  
2021 ◽  
Author(s):  
Einar Bredeli ◽  
Cecilie L. Vestergaard ◽  
Børge Sivertsen ◽  
Håvard Kallestad ◽  
Simon Øverland ◽  
...  

2020 ◽  
Vol 5 (1) ◽  
pp. 119-130
Author(s):  
Raúl Rojas ◽  
Farzan Irani

Purpose This exploratory study examined the language skills and the type and frequency of disfluencies in the spoken narrative production of Spanish–English bilingual children who do not stutter. Method A cross-sectional sample of 29 bilingual students (16 boys and 13 girls) enrolled in grades prekindergarten through Grade 4 produced a total of 58 narrative retell language samples in English and Spanish. Key outcome measures in each language included the percentage of normal (%ND) and stuttering-like (%SLD) disfluencies, percentage of words in mazes (%MzWds), number of total words, number of different words, and mean length of utterance in words. Results Cross-linguistic, pairwise comparisons revealed significant differences with medium effect sizes for %ND and %MzWds (both lower for English) as well as for number of different words (lower for Spanish). On average, the total percentage of mazed words was higher than 10% in both languages, a pattern driven primarily by %ND; %SLDs were below 1% in both languages. Multiple linear regression models for %ND and %SLD in each language indicated that %MzWds was the primary predictor across languages beyond other language measures and demographic variables. Conclusions The findings extend the evidence base with regard to the frequency and type of disfluencies that can be expected in bilingual children who do not stutter in grades prekindergarten to Grade 4. The data indicate that %MzWds and %ND can similarly index the normal disfluencies of bilingual children during narrative production. The potential clinical implications of the findings from this study are discussed.


1997 ◽  
Vol 6 (5) ◽  
pp. 371-377
Author(s):  
Wendy Zernike ◽  
Tracie Corish ◽  
Sylvia Henderson

2001 ◽  
Vol 6 (3) ◽  
pp. 187-193 ◽  
Author(s):  
John R. Nesselroade

A focus on the study of development and other kinds of changes in the whole individual has been one of the hallmarks of research by Magnusson and his colleagues. A number of different approaches emphasize this individual focus in their respective ways. This presentation focuses on intraindividual variability stemming from Cattell's P-technique factor analytic proposals, making several refinements to make it more tractable from a research design standpoint and more appropriate from a statistical analysis perspective. The associated methods make it possible to study intraindividual variability both within and between individuals. An empirical example is used to illustrate the procedure.


2016 ◽  
Vol 37 (3) ◽  
pp. 181-193 ◽  
Author(s):  
Aire Mill ◽  
Anu Realo ◽  
Jüri Allik

Abstract. Intraindividual variability, along with the more frequently studied between-person variability, has been argued to be one of the basic building blocks of emotional experience. The aim of the current study is to examine whether intraindividual variability in affect predicts tiredness in daily life. Intraindividual variability in affect was studied with the experience sampling method in a group of 110 participants (aged between 19 and 84 years) during 14 consecutive days on seven randomly determined occasions per day. The results suggest that affect variability is a stable construct over time and situations. Our findings also demonstrate that intraindividual variability in affect has a unique role in predicting increased levels of tiredness at the momentary level as well at the level of individuals.


2018 ◽  
Vol 86 (11) ◽  
pp. 892-902 ◽  
Author(s):  
Jonathan G. Shalom ◽  
Eva Gilboa-Schechtman ◽  
Dana Atzil-Slonim ◽  
Eran Bar-Kalifa ◽  
Ilanit Hasson-Ohayon ◽  
...  

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