Predictive Validity Test of the Adolescent Domain Screening Inventory

2014 ◽  
Vol 23 (2) ◽  
pp. 130-136
Author(s):  
Matthew J. Corrigan
Keyword(s):  
Predictive Validity ◽  
Validity Test ◽  
Adolescent Domain Screening Inventory

scholarly journals Psychometric properties of gross motor assessment tools for children: a systematic review

BMJ Open ◽  
2018 ◽  
Vol 8 (10) ◽  
pp. e021734 ◽  
Author(s):  
Alison Griffiths ◽  
Rachel Toovey ◽  
Prue E Morgan ◽  
Alicia J Spittle
Keyword(s):  
Psychometric Properties ◽  
Predictive Validity ◽  
Methodological Quality ◽  
Clinical Utility ◽  
Assessment Tools ◽  
Motor Assessment ◽  
Gross Motor ◽  
Retest Reliability ◽  
Validity Test ◽  
Test Retest Reliability

ObjectiveGross motor assessment tools have a critical role in identifying, diagnosing and evaluating motor difficulties in childhood. The objective of this review was to systematically evaluate the psychometric properties and clinical utility of gross motor assessment tools for children aged 2–12 years.MethodA systematic search of MEDLINE, Embase, CINAHL and AMED was performed between May and July 2017. Methodological quality was assessed with the COnsensus-based Standards for the selection of health status Measurement INstruments checklist and an outcome measures rating form was used to evaluate reliability, validity and clinical utility of assessment tools.ResultsSeven assessment tools from 37 studies/manuals met the inclusion criteria: Bayley Scale of Infant and Toddler Development-III (Bayley-III), Bruininks-Oseretsky Test of Motor Proficiency-2 (BOT-2), Movement Assessment Battery for Children-2 (MABC-2), McCarron Assessment of Neuromuscular Development (MAND), Neurological Sensory Motor Developmental Assessment (NSMDA), Peabody Developmental Motor Scales-2 (PDMS-2) and Test of Gross Motor Development-2 (TGMD-2). Methodological quality varied from poor to excellent. Validity and internal consistency varied from fair to excellent (α=0.5–0.99). The Bayley-III, NSMDA and MABC-2 have evidence of predictive validity. Test–retest reliability is excellent in the BOT-2 (intraclass correlation coefficient (ICC)=0.80–0.99), PDMS-2 (ICC=0.97), MABC-2 (ICC=0.83–0.96) and TGMD-2 (ICC=0.81–0.92). TGMD-2 has the highest inter-rater (ICC=0.88–0.93) and intrarater reliability (ICC=0.92–0.99).ConclusionsThe majority of gross motor assessments for children have good-excellent validity. Test–retest reliability is highest in the BOT-2, MABC-2, PDMS-2 and TGMD-2. The Bayley-III has the best predictive validity at 2 years of age for later motor outcome. None of the assessment tools demonstrate good evaluative validity. Further research on evaluative gross motor assessment tools are urgently needed.

scholarly journals Development and validation of a mHealth falls risk screening app (FallSA©) among Malaysian Community Dwelling Older Persons (Preprint)

2020 ◽  
Author(s):  
Devinder Kaur Ajit Singh ◽  
Jing Wen Goh ◽  
Muhammad Iqbal Shaharudin ◽  
Suzana Shahar
Keyword(s):  
Risk Assessment ◽  
Predictive Validity ◽  
Fall Risk ◽  
Concurrent Validity ◽  
Older Persons ◽  
Screening Tool ◽  
Community Dwelling ◽  
Discriminative Ability ◽  
Validity Test ◽  
Falls Risk

BACKGROUND Recent falls prevention guidelines recommend early routine falls risk assessment among older persons. OBJECTIVE The purpose of current study was to develop a Falls Screening Mobile Application (FallSA©), determine its acceptance, concurrent validity, test-retest reliability, discriminative ability and predictive validity as a self-screening tool to identify falls risk among Malaysian older persons. METHODS FallSA© acceptance was tested among 15 participants (mean age: 65.93±7.42 years); its validity and reliability among 91 participants (mean age: 67.34±5.97); discriminative ability and predictive validity among 610 participants (mean age: 71.78±4.70). Acceptance of FallSA© was assessed using a questionnaire and it was validated against a comprehensive falls risk assessment tool, Physiological Profile Assessments (PPA). Participants used FallSA© to test their falls risk repeatedly twice between an hour. Its discriminative ability and predictive validity were determined by comparing participants fall risk scores between fallers and non-fallers and prospectively through a 6 months follow-up respectively RESULTS The findings of our study showed that FallSA© had a high acceptance level with 80% older persons agreeing on its suitability as a falls self-screening tool. Concurrent validity test demonstrated a significant moderate correlation (rs= 0.518, P<0.001) and agreement (K= 0.516, P<0.001) with acceptable sensitivity (80.4%) and specificity (71.1%). FallSA© also had good reliability (ICC: 0.948, CI: 0.921-0.966) and an internal consistency (α= 0.948, P<0.001). FallSA© score demonstrated a moderate to strong discriminative ability in classifying fallers and non-fallers. FallSA© had a predictive validity of falls with positive likelihood ratio of 2.27, pooled sensitivity of 82% and specificity of 64%, and AUC of 0.802. CONCLUSIONS These results suggest that FallSA© is a valid and reliable fall risk self-screening tool. Further studies are required to empower and engage older persons or care givers in the use of FallSA© to self-screen for falls and thereafter to seek early prevention intervention. CLINICALTRIAL NA

scholarly journals Correction: A Mobile App (FallSA) to Identify Fall Risk Among Malaysian Community-Dwelling Older Persons: Development and Validation Study (Preprint)

2021 ◽  
Author(s):  
Devinder Kaur Ajit Singh ◽  
Jing Wen Goh ◽  
Muhammad Iqbal Shaharudin ◽  
Suzana Shahar
Keyword(s):  
Risk Assessment ◽  
Predictive Validity ◽  
Fall Risk ◽  
Concurrent Validity ◽  
Older Persons ◽  
Screening Tool ◽  
Mobile App ◽  
Discriminative Ability ◽  
Fall Risk Assessment ◽  
Validity Test

BACKGROUND Recent falls prevention guidelines recommend early routine fall risk assessment among older persons. OBJECTIVE The purpose of this study was to develop a Falls Screening Mobile App (FallSA), determine its acceptance, concurrent validity, test-retest reliability, discriminative ability, and predictive validity as a self-screening tool to identify fall risk among Malaysian older persons. METHODS FallSA acceptance was tested among 15 participants (mean age 65.93 [SD 7.42] years); its validity and reliability among 91 participants (mean age 67.34 [SD 5.97] years); discriminative ability and predictive validity among 610 participants (mean age 71.78 [SD 4.70] years). Acceptance of FallSA was assessed using a questionnaire, and it was validated against a comprehensive fall risk assessment tool, the Physiological Profile Assessment (PPA). Participants used FallSA to test their fall risk repeatedly twice within an hour. Its discriminative ability and predictive validity were determined by comparing participant fall risk scores between fallers and nonfallers and prospectively through a 6-month follow-up, respectively. RESULTS The findings of our study showed that FallSA had a high acceptance level with 80% (12/15) of older persons agreeing on its suitability as a falls self-screening tool. Concurrent validity test demonstrated a significant moderate correlation (r=.518, P<.001) and agreement (k=.516, P<.001) with acceptable sensitivity (80.4%) and specificity (71.1%). FallSA also had good reliability (intraclass correlation .948; 95% CI .921-.966) and an internal consistency (α=.948, P<.001). FallSA score demonstrated a moderate to strong discriminative ability in classifying fallers and nonfallers. FallSA had a predictive validity of falls with positive likelihood ratio of 2.27, pooled sensitivity of 82% and specificity of 64%, and area under the curve of 0.802. CONCLUSIONS These results suggest that FallSA is a valid and reliable fall risk self-screening tool. Further studies are required to empower and engage older persons or care givers in the use of FallSA to self-screen for falls and thereafter to seek early prevention intervention.

scholarly journals A Mobile App (FallSA) to Identify Fall Risk Among Malaysian Community-Dwelling Older Persons: Development and Validation Study

10.2196/23663 ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. e23663
Author(s):  
Devinder Kaur Ajit Singh ◽  
Jing Wen Goh ◽  
Muhammad Iqbal Shaharudin ◽  
Suzana Shahar
Keyword(s):  
Risk Assessment ◽  
Predictive Validity ◽  
Fall Risk ◽  
Concurrent Validity ◽  
Older Persons ◽  
Screening Tool ◽  
Mobile App ◽  
Discriminative Ability ◽  
Fall Risk Assessment ◽  
Validity Test

Background Recent falls prevention guidelines recommend early routine fall risk assessment among older persons. Objective The purpose of this study was to develop a Falls Screening Mobile App (FallSA), determine its acceptance, concurrent validity, test-retest reliability, discriminative ability, and predictive validity as a self-screening tool to identify fall risk among Malaysian older persons. Methods FallSA acceptance was tested among 15 participants (mean age 65.93 [SD 7.42] years); its validity and reliability among 91 participants (mean age 67.34 [SD 5.97] years); discriminative ability and predictive validity among 610 participants (mean age 71.78 [SD 4.70] years). Acceptance of FallSA was assessed using a questionnaire, and it was validated against a comprehensive fall risk assessment tool, the Physiological Profile Assessment (PPA). Participants used FallSA to test their fall risk repeatedly twice within an hour. Its discriminative ability and predictive validity were determined by comparing participant fall risk scores between fallers and nonfallers and prospectively through a 6-month follow-up, respectively. Results The findings of our study showed that FallSA had a high acceptance level with 80% (12/15) of older persons agreeing on its suitability as a falls self-screening tool. Concurrent validity test demonstrated a significant moderate correlation (r=.518, P<.001) and agreement (k=.516, P<.001) with acceptable sensitivity (80.4%) and specificity (71.1%). FallSA also had good reliability (intraclass correlation .948; 95% CI .921-.966) and an internal consistency (α=.948, P<.001). FallSA score demonstrated a moderate to strong discriminative ability in classifying fallers and nonfallers. FallSA had a predictive validity of falls with positive likelihood ratio of 2.27, pooled sensitivity of 82% and specificity of 64%, and area under the curve of 0.802. Conclusions These results suggest that FallSA is a valid and reliable fall risk self-screening tool. Further studies are required to empower and engage older persons or care givers in the use of FallSA to self-screen for falls and thereafter to seek early prevention intervention.

Effect of Stress and Relax Instructions on the Predictive Validity of a Test Device

1974 ◽  
Vol 7 (1) ◽  
pp. 46-50 ◽  
Author(s):  
Bruce W. Hall ◽  
T. Salvatore Tocco ◽  
Larry S. Schwartz
Keyword(s):  
Predictive Validity ◽  
Test Device

Investigating the Unified Motive Scales

2020 ◽  
pp. 1-5
Author(s):  
Martin Bettschart ◽  
Marcel Herrmann ◽  
Benjamin M. Wolf ◽  
Veronika Brandstätter
Keyword(s):  
Field Study ◽  
Predictive Validity ◽  
Selection Process ◽  
Police Department ◽  
Longitudinal Field ◽  
Explicit Motives ◽  
Achievement Motive

Abstract. Explicit motives are well-studied in the field of personality and motivation psychology. However, the statistical overlap of different explicit motive measures is only moderate. As a consequence, the Unified Motive Scales (UMS; Schönbrodt & Gerstenberg, 2012 ) were developed to improve the measurement of explicit motives. The present longitudinal field study examined the predictive validity of the UMS achievement motive subscale. Applicants of a police department ( n = 168, Mage = 25.11, 53 females and 115 males) completed the UMS and their performance in the selection process was assessed. As expected, UMS achievement predicted success in the selection process. The findings provide first evidence for the predictive validity of UMS achievement in an applied setting.

Using the Theory of Planned Behavior to Predict Faking in Selection Exercises Varying in Fidelity

2018 ◽  
Vol 17 (3) ◽  
pp. 155-160 ◽  
Author(s):  
Daniel Dürr ◽  
Ute-Christine Klehe
Keyword(s):  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Predictive Validity ◽  
Group Discussion ◽  
Role Play ◽  
Selection Procedure ◽  
High Fidelity ◽  
Selection Research ◽  
Play Group

Abstract. Faking has been a concern in selection research for many years. Many studies have examined faking in questionnaires while far less is known about faking in selection exercises with higher fidelity. This study applies the theory of planned behavior (TPB; Ajzen, 1991 ) to low- (interviews) and high-fidelity (role play, group discussion) exercises, testing whether the TPB predicts reported faking behavior. Data from a mock selection procedure suggests that candidates do report to fake in low- and high-fidelity exercises. Additionally, the TPB showed good predictive validity for faking in a low-fidelity exercise, yet not for faking in high-fidelity exercises.

Predictive Validity of a Selection Procedure for Air Traffic Controller Trainees

2013 ◽  
Vol 3 (1) ◽  
pp. 19-27 ◽  
Author(s):  
Yvonne Pecena ◽  
Doris Keye ◽  
Kristin Conzelmann ◽  
Dietrich Grasshoff ◽  
Peter Maschke ◽  
...  
Keyword(s):  
Predictive Validity ◽  
Selection Procedure ◽  
Air Traffic ◽  
Performance Criteria ◽  
Training Phase ◽  
Air Traffic Controller ◽  
Training Performance ◽  
Navigation Service ◽  
German Aerospace ◽  
Training Success

The job of an air traffic controller (ATCO) is very specific and demanding. The assessment of potential suitable candidates requires a customized and efficient selection procedure. The German Aerospace Center DLR conducts a highly selective, multiple-stage selection procedure for ab initio ATCO applicants for the German Air Navigation Service Provider DFS. Successful applicants start their training with a training phase at the DFS Academy and then continue with a unit training phase in live traffic. ATCO validity studies are scarcely reported in the international scientific literature and have mainly been conducted in a military context with only small and male samples. This validation study encompasses the data from 430 DFS ATCO trainees, starting with candidate selection and extending to the completion of their training. Validity analyses involved the prediction of training success and several training performance criteria derived from initial training. The final training success rate of about 79% was highly satisfactory and higher than that of other countries. The findings demonstrated that all stages of the selection procedure showed predictive validity toward training performance. Among the best predictors were scores measuring attention and multitasking ability, and ratings on general motivation from the interview.

The Predictive Validity of Assessment Centers in German-Speaking Regions

2011 ◽  
Vol 10 (2) ◽  
pp. 61-69 ◽  
Author(s):  
Nicolas Becker ◽  
Stefan Höft ◽  
Marcus Holzenkamp ◽  
Frank M. Spinath
Keyword(s):  
Predictive Validity ◽  
Target Group ◽  
Assessment Centers ◽  
Credibility Interval ◽  
German Speaking ◽  
English Speaking ◽  
Intelligence Measures ◽  
Meta Analyses

As previous meta-analyses have focused almost solely on English-speaking regions, this study presents the first systematic meta-analytical examination of the predictive validity of assessment centers (ACs) conducted in German-speaking regions. It summarizes 24 validity coefficients taken from 19 studies (N = 3,556), yielding a mean corrected validity of ρ = .396 (80% credibility interval .235 ≤ ρ ≤ .558). ACs with different purposes and different kinds of criterion measures were analyzed separately. Furthermore, target group (internal vs. external candidates), average age of the assessees, inclusion of intelligence measures, number of instruments used, AC duration, as well as time elapsed between AC and criterion assessment were found to moderate the validity.

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