Reliability and validity of medicine ball toss tests as clinical measures of core strength

2015 ◽  
Vol 23 (3) ◽  
pp. 151-160
Author(s):  
Mallory A. Sell ◽  
John P. Abt ◽  
Timothy C. Sell ◽  
Karen A. Keenan ◽  
Katelyn F. Allison ◽  
...  
2020 ◽  
pp. 135245852096879
Author(s):  
KH Lam ◽  
KA Meijer ◽  
FC Loonstra ◽  
EME Coerver ◽  
J Twose ◽  
...  

Background: Clinical measures in multiple sclerosis (MS) face limitations that may be overcome by utilising smartphone keyboard interactions acquired continuously and remotely during regular typing. Objective: The aim of this study was to determine the reliability and validity of keystroke dynamics to assess clinical aspects of MS. Methods: In total, 102 MS patients and 24 controls were included in this observational study. Keyboard interactions were obtained with the Neurokeys keyboard app. Eight timing-related keystroke features were assessed for reliability with intraclass correlation coefficients (ICCs); construct validity by analysing group differences (in fatigue, gadolinium-enhancing lesions on magnetic resonance imaging (MRI), and patients vs controls); and concurrent validity by correlating with disability measures. Results: Reliability was moderate in two (ICC = 0.601 and 0.742) and good to excellent in the remaining six features (ICC = 0.760–0.965). Patients had significantly higher keystroke latencies than controls. Latency between key presses correlated the highest with Expanded Disability Status Scale ( r = 0.407) and latency between key releases with Nine-Hole Peg Test and Symbol Digit Modalities Test (ρ = 0.503 and r = −0.553, respectively), ps < 0.001. Conclusion: Keystroke dynamics were reliable, distinguished patients and controls, and were associated with clinical disability measures. Consequently, keystroke dynamics are a promising valid surrogate marker for clinical disability in MS.


2018 ◽  
Vol 32 (7) ◽  
pp. 1915-1918
Author(s):  
Gregory Roe ◽  
William Shaw ◽  
Joshua Darrall-Jones ◽  
Padraic J. Phibbs ◽  
Dale Read ◽  
...  

Author(s):  
Lara Gabriella Rodrigues Ferreira ◽  
Anamaria Siriani de Oliveira ◽  
Natiely Divina do Carmo ◽  
Guilherme Augusto Santos Bueno ◽  
Thiago Vilela Lemos ◽  
...  

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S631-S631
Author(s):  
Kim Curyto ◽  
Jenefer M Jedele ◽  
Jennifer J Mach ◽  
David C Mohr ◽  
Laura O Wray ◽  
...  

Abstract Persons with dementia frequently demonstrate behavior symptoms of dementia (BSD), associated with poorer outcomes. A measure of BSD was created for routine use in VA Community Living Centers (CLCs). Reliability and validity of Minimum Data Set (MDS 3.0) behavior items was established using exploratory factor analysis and a multitrait, multimethod correlation matrix. 385 CLC residents with BSD were assessed using validated measures of BSD, depression, and anxiety, and team ratings of the frequency and severity of target behaviors identified for intervention. Factor analysis on MDS items closest to baseline resulted in two stable factors. MDS behavior factors related to validated clinical measures in predicted ways at baseline and post-intervention. MDS distress behavior factor sensitivity to change was evaluated by using change score correlations with validated clinical measures. The MDS distress behavior factor can be used routinely, evaluate the impact of intervention effectiveness, and provide quality improvement feedback.


2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Alison Douglas ◽  
Lori Letts ◽  
Kevin Eva ◽  
Julie Richardson

Objectives. Defining and validating a measure of safety contributes to further validation of clinical measures. The objective was to define and examine the psychometric properties of the outcome “incidents of harm.”Methods. The Incident of Harm Caregiver Questionnaire was administered to caregivers of older adults discharged from hospital by telephone. Caregivers completed daily logs for one month and medical charts were examined.Results. Test-retest reliability (n=38) was high for the occurrence of an incident of harm (yes/no; kappa = 1.0) and the type of incident (agreement = 100%). Validation against daily logs found no disagreement regarding occurrence or types of incidents. Validation with medical charts found no disagreement regarding incident occurrence and disagreement in half regarding incident type.Discussion. The data support the Incident of Harm Caregiver Questionnaire as a reliable and valid estimation of incidents for this sample and are important to researchers as a method to measure safety when validating clinical measures.


Author(s):  
Anthony J. Rosellini ◽  
Timothy A. Brown

Coinciding with the development and revision of conceptual models of psychopathology, there has been a proliferation in the number of self-report clinical questionnaires and studies evaluating their psychometric properties. Unfortunately, many clinical measures are constructed and evaluated using suboptimal methods. This review provides current guidelines for the conceptualization, development, and psychometric validation of clinical questionnaires using latent variable methods. A two-stage exploratory-confirmatory framework is provided. The exploratory stage includes item selection and revision, initial structural evaluation, and preliminary tests of concurrent validity (e.g., convergent and discriminant). The confirmatory stage involves replicating factor structure using a more restrictive model, identifying areas of model strain, conducting additional tests of concurrent and predictive validity, and evaluating measurement invariance. Recommendations are provided for ( a) item generation, ( b) how to use different types of exploratory and confirmatory factor models to determine structure, and ( c) evaluating reliability and validity using a latent variable measurement model approach. Expected final online publication date for the Annual Review of Clinical Psychology, Volume 17 is May 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.


2020 ◽  
Vol 29 (4) ◽  
pp. 1923-1936
Author(s):  
Kathryn J. Greenslade ◽  
Jade E. B. Stuart ◽  
Jessica D. Richardson ◽  
Sarah Grace Dalton ◽  
Amy E. Ramage

Purpose Macrostructural narrative analyses are important clinical measures, revealing age-related declines and disorder-related impairments in the accuracy, completeness, logical sequencing, and organization of content. The current study aims to provide preliminary data on typical aging and psychometric evidence supporting multilevel Main Concept, Sequencing, and Story Grammar (MSSG) analyses that capture these aspects of narratives. Method Transcripts of Cinderella narratives for 92 healthy control participants stratified across four age brackets from the online database AphasiaBank were coded by Richardson and Dalton (2016) for main concept (MC) analysis. In the current study, MSSG analyses were completed for (a) logical sequencing, independently and in combination with MC accuracy and completeness (MC + sequencing), and (b) story grammar organization (i.e., inclusion of episodic components and complexity of episodes). Interrater agreement (99%–100%) revealed highly reliable scoring. Results Descriptive statistics for the typically aging sample are presented for sequencing, MC + sequencing, total episodic components, and episodic complexity. Scores for participants over 60 years of age were lower (poorer) than scores for those 20–59 years of age, supporting the construct validity of score use for identifying age-related declines in performance. Conclusions This study's novel MSSG analyses of narrative production efficiently assess the logical sequencing and story grammar organization of content in healthy controls. Preliminary reliability and validity evidence support the use of all scores to measure age-related changes in narrative macrostructure. Data from this typically aging sample provide a foundation for future research and clinical assessment aimed at quantifying narrative deficits in adults with communication disorders. Supplemental Material https://doi.org/10.23641/asha.12683495


2004 ◽  
Vol 10 (2) ◽  
pp. 301-303 ◽  
Author(s):  
DEAN C. DELIS ◽  
JOEL H. KRAMER ◽  
EDITH KAPLAN ◽  
JAMES HOLDNACK

A critical endeavor in every health-related field is the continued development of new technologies and instrumentation for improving diagnosis and treatment. For example, the field of neuroimaging has made astonishing advances with procedures such as functional MRI, MR spectroscopy, and MR diffusion tensor imaging. The field of neuropsychology has also recognized the importance of continually striving to develop new, more sensitive clinical measures. At the same time, the development of new tests or procedures does not guarantee that the instruments represent improvements in diagnosis or treatment. For this reason, ongoing studies of reliability and validity of new diagnostic instruments are also an important part of research in all health-related fields.


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