Test-retest reliability of the Mirowsky-Ross 2 x 2 Index of the Sense of Control.

Psychol Rep

College of Public Health, University of Iowa, 200 Hawkins Drive, E-205 General Hospital, Iowa City, IA 52242, USA.

Published: April 2004

This study investigated the short-term stability of the 1991 Mirowsky-Ross 2 x 2 Index of the Sense of Control. From an ongoing longitudinal study, 304 subjects were randomly selected for test-retest interviews occurring 1 to 4 days after their regularly scheduled first follow-up interview. Test-retest reliability was assessed at the item level using percent agreement and weighted kappa. At the scale score level, reliability was assessed with the intraclass correlation coefficient (ICC). ICCs were also calculated within categories of demographic, socioeconomic, psychosocial, and functional status characteristics. There was moderate to substantial item-level agreement (mean weighted kappa = 51; weighted kappa range = .38 to .66). At the scale score level there was substantial agreement (ICC = .71). No appreciable differences in ICC values were found in the demographic, socioeconomic, psychosocial, and functional comparisons of status characteristics. Thus, this sense of control measure has acceptable test-retest reliability and is appropriate for use in longitudinal research.

Download full-text PDF

Source
http://dx.doi.org/10.2466/pr0.94.2.725-732DOI Listing

Publication Analysis

Top Keywords

test-retest reliability
12
sense control
12
weighted kappa
12
mirowsky-ross sense
8
reliability assessed
8
agreement weighted
8
scale score
8
score level
8
demographic socioeconomic
8
socioeconomic psychosocial
8

Similar Publications

Ledged Beam Walking Test Automatic Tracker: Artificial intelligence-based functional evaluation in a stroke model.

Comput Biol Med

January 2025

Neurological Sciences and Cerebrovascular Research Laboratory, Department of Neurology and Stroke Centre, Neurology and Cerebrovascular Disease Group, Neuroscience Area La Paz Institute for Health Research (idiPAZ), (La Paz University Hospital- Universidad Autónoma de Madrid), Spain. Electronic address:

The quantitative evaluation of motor function in experimental stroke models is essential for the preclinical assessment of new therapeutic strategies that can be transferred to clinical research; however, conventional assessment tests are hampered by the evaluator's subjectivity. We present an artificial intelligence-based system for the automatic, accurate, and objective analysis of target parameters evaluated by the ledged beam walking test, which offers higher sensitivity than the current methodology based on manual and visual counting. This system employs a residual deep network model, trained with DeepLabCut (DLC) to extract target paretic hindlimb coordinates, which are categorized to provide a ratio measurement of the animal's neurological deficit.

View Article and Find Full Text PDF

Objectives: To facilitate earlier diagnosis of autoimmune rheumatic diseases (ARDs), we aimed to 1) develop START, a novel multimedia-based symptom appraisal tool for ARDs and 2) pilot test START among established ARD cases and non-ARD controls.

Methods: We developed START using a social cognitive theory-based theoretical framework and consensus-based lists of ARDs and manifestations from our previous work. START was revised through reviews by an expert panel of rheumatologists and cognitive debriefing interviews (CDIs) with patients newly referred for assessment of ARDs.

View Article and Find Full Text PDF

Objectives: The purpose of this study was to propose a new difficulty score for the treatment of multiple gingival recessions (GRs) with Modified Coronally Advanced Tunnel (MCAT), and to test the score's reliability.

Material And Methods: A difficulty score was developed for the assessment and grading of 13 relevant anatomical parameters at baseline. Six experienced dental practitioners evaluated existing GRs in three patients.

View Article and Find Full Text PDF

A platform combining automatic segmentation and automatic measurement of the maxillary sinus and adjacent structures.

Clin Oral Investig

January 2025

State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, 610041, China.

Objectives: To develop a platform including a deep convolutional neural network (DCNN) for automatic segmentation of the maxillary sinus (MS) and adjacent structures, and automatic algorithms for measuring 3-dimensional (3D) clinical parameters.

Materials And Methods: 175 CBCTs containing 242 MS were used as the training, validating and testing datasets at the ratio of 7:1:2. The datasets contained healthy MS and MS with mild (2-4 mm), moderate (4-10 mm) and severe (10- mm) mucosal thickening.

View Article and Find Full Text PDF

To evaluate the quality, usefulness, and reliability of videos about Small Incision Lenticule Extraction (SMILE) surgery on the YouTube platform. On January 19, 2022, a search was performed on YouTube ( www.youtube.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!