Development and validation of a new intraocular pressure estimate for patients with soft corneas

2019 ◽  
Vol 45 (9) ◽  
pp. 1316-1323 ◽  
Author(s):  
Kai-Jung Chen ◽  
Ashkan Eliasy ◽  
Riccardo Vinciguerra ◽  
Ahmed Abass ◽  
Bernardo T. Lopes ◽  
...  
Keyword(s):  
Intraocular Pressure ◽  
Development And Validation ◽  
Pressure Estimate

scholarly journals Development and validation of a machine learning, smartphone-based tonometer

2019 ◽  
Vol 104 (10) ◽  
pp. 1394-1398 ◽  
Author(s):  
Yue Wu ◽  
Ian Luttrell ◽  
Shu Feng ◽  
Philip P Chen ◽  
Ted Spaide ◽  
...  
Keyword(s):  
Machine Learning ◽  
Intraocular Pressure ◽  
Clinical Practice ◽  
Applanation Tonometry ◽  
Goldmann Applanation Tonometry ◽  
Computer Algorithm ◽  
Reference Standard ◽  
Limits Of Agreement ◽  
The Mean ◽  
Development And Validation

Background/AimsTo compare intraocular pressure (IOP) measurements using a prototype smartphone tonometer with other tonometers used in clinical practice.MethodsPatients from an academic glaucoma practice were recruited. The smartphone tonometer uses fixed force applanation and in conjunction with a machine-learning computer algorithm is able to calculate the IOP. IOP was also measured using Goldmann applanation tonometry (GAT) in all subjects. A subset of patients were also measured using ICare, pneumotonometry (upright and supine positions) and Tono-Pen (upright and supine positions) and the results were compared.Results92 eyes of 81 subjects were successfully measured. The mean difference (in mm Hg) for IOP measurements of the smartphone tonometer versus other devices was +0.24 mm Hg for GAT, −1.39 mm Hg for ICare, −3.71 mm Hg for pneumotonometry and −1.30 mm Hg for Tono-Pen. The 95% limits of agreement for the smartphone tonometer versus other devices was −4.35 to 4.83 mm Hg for GAT, −6.48 to 3.70 mm Hg for ICare, −7.66 to −0.15 mm Hg for pneumotonometry and −5.72 to 3.12 mm Hg for Tono-Pen. Overall, the smartphone tonometer results correlated best with GAT (R2=0.67, p<0.001). Of the 92 videos, 90 (97.8%) were within ±5 mm Hg of GAT and 58 (63.0%) were within ±2 mm Hg of GAT.ConclusionsPreliminary IOP measurements using a prototype smartphone-based tonometer was grossly equivalent to the reference standard.

18: Measuring Quality-of-Life after Surgery: Development and Validation of the Convalescence and Recovery Evaluation (CARE)

2007 ◽  
Vol 177 (4S) ◽  
pp. 7-7
Author(s):  
Brent K. Hollenbeck ◽  
J. Stuart Wolf ◽  
Rodney L. Dunn ◽  
Martin G. Sanda ◽  
David P. Wood ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Development And Validation

Development of the Teacher Attitudes Towards Self-Regulated Learning Scale

2018 ◽  
Vol 34 (3) ◽  
pp. 193-205 ◽  
Author(s):  
Julia Steinbach ◽  
Heidrun Stoeger
Keyword(s):  
Factor Analysis ◽  
Primary School ◽  
Factor Structure ◽  
Concurrent Validity ◽  
Binary Logistic Regression ◽  
Affective Component ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Teachers Attitudes ◽  
Development And Validation

Abstract. We describe the development and validation of an instrument for measuring the affective component of primary school teachers’ attitudes towards self-regulated learning. The questionnaire assesses the affective component towards those cognitive and metacognitive strategies that are especially effective in primary school. In a first study (n = 230), the factor structure was verified via an exploratory factor analysis. A confirmatory factor analysis with data from a second study (n = 400) indicated that the theoretical factor structure is appropriate. A comparison with four alternative models identified the theoretically derived factor structure as the most appropriate. Concurrent validity was demonstrated by correlations with a scale that measures the degree to which teachers create learning environments that enable students to self-regulate their learning. Retrospective validity was demonstrated by correlations with a scale that measures teachers’ experiences with self-regulated learning. In a third study (n = 47), the scale’s concurrent validity was tested with scales measuring teachers’ evaluation of the desirability of different aspects of self-regulated learning in class. Additionally, predictive validity was demonstrated via a binary logistic regression, with teachers attitudes as predictor on their registration for a workshop on self-regulated learning and their willingness to implement a seven-week training program on self-regulated learning.

Development and Validation of a German Language Unit-Level Organizational Citizenship Behavior (OCB) Scale

2020 ◽  
Vol 36 (5) ◽  
pp. 852-863 ◽  
Author(s):  
George Gunnesch-Luca ◽  
Klaus Moser
Keyword(s):  
Factor Analysis ◽  
Organizational Citizenship ◽  
Organizational Citizenship Behavior ◽  
Helping Behavior ◽  
Citizenship Behavior ◽  
German Language ◽  
Individual Level ◽  
Unit Level ◽  
Confirmatory Factor ◽  
Development And Validation

Abstract. The current paper presents the development and validation of a unit-level Organizational Citizenship Behavior (OCB) scale based on the Referent-Shift Consensus Model (RSCM). In Study 1, with 124 individuals measured twice, both an Exploratory Factor Analysis (EFA) and a Confirmatory Factor Analysis (CFA) established and confirmed a five-factor solution (helping behavior, sportsmanship, loyalty, civic virtue, and conscientiousness). Test–retest reliabilities at a 2-month interval were high (between .59 and .79 for the subscales, .83 for the total scale). In Study 2, unit-level OCB was analyzed in a sample of 129 work teams. Both Interrater Reliability (IRR) measures and Interrater Agreement (IRA) values provided support for RSCM requirements. Finally, unit-level OCB was associated with group task interdependence and was more predictable (by job satisfaction and integrity of the supervisor) than individual-level OCB in previous research.

The Team Role Test: Development and validation of a team role knowledge situational judgment test.

2008 ◽  
Vol 93 (2) ◽  
pp. 250-267 ◽  
Author(s):  
Troy V. Mumford ◽  
Chad H. Van Iddekinge ◽  
Frederick P. Morgeson ◽  
Michael A. Campion
Keyword(s):  
Test Development ◽  
Situational Judgment Test ◽  
Situational Judgment ◽  
Development And Validation
Sign in / Sign up

Export Citation Format

Share Document