Background: Measuring complex constructs, such as those from self-determination theory models, is challenging in the elderly due to the response process, particularly in collective data gathering. In order to examine this construct in physical activity settings we aimed at determining whether single-item measures were as good as pre-existing multi-item measures. For that reason, we developed seven single-item measures targeting perceived interpersonal styles, basic needs satisfaction, and well-being.

Method: We gathered evidence of validity and reliability for multi-item measures and single-item measures based on a sample of 128 elderly adults. Another sample of 62 elderly adults provided test-retest reliability for the single-item measures.

Results: Favourable evidence of the expected internal structure, concurrent validity, and reliability was obtained for competence- and relatedness-supportive styles, and for satisfaction of the basic psychological need of relatedness, fairly good evidence was obtained for subjective vitality, whereas mixed evidence was obtained for autonomy-supportive style and the satisfaction of the basic psychological needs of autonomy and competence.

Conclusions: Single-item measures proved to be psychometrically sound substitutes for their multi-item counterparts, but the autonomy constructs need to be reconsidered. Furthermore the response process and consequences of testing should play a prominent role when devising questionnaires for the elderly.

Download full-text PDF

Source
http://dx.doi.org/10.7334/psicothema2020.159DOI Listing

Publication Analysis

Top Keywords

single-item measures
20
multi-item measures
12
measures single-item
8
self-determination theory
8
response process
8
validity reliability
8
elderly adults
8
satisfaction basic
8
basic psychological
8
measures
7

Similar Publications

Objectives: Drawing on the socioecological model of sleep health, we formally examine the association between neighborhood disorder and sleep efficiency. While most studies focus on direct associations with neighborhood context, we also consider whether the relationship between religious attendance and sleep efficiency varies as a function of neighborhood disorder.

Design: We use ordinary least squares regression to model cross-sectional survey data.

View Article and Find Full Text PDF

Physician Engagement in Addressing Health-Related Social Needs and Burnout.

JAMA Netw Open

December 2024

The Heller School for Social Policy and Management, Brandeis University, Waltham, Massachusetts.

Importance: Previous research suggests that a greater capacity of health care organizations to address patients' health-related social needs (HRSNs) is associated with lower physician burnout. However, individual physician-level engagement in addressing HRSNs has not been fully characterized, and its association with physician burnout remains understudied.

Objective: To characterize physicians' engagement in addressing HRSNs and examine its association with burnout.

View Article and Find Full Text PDF

Objectives: This study aimed to assess relationships of acute responses to short-format high-intensity interval training (HIIT) with the anaerobic speed reserve (ASR) of adolescent runners.

Design: Pre-post intervention design.

Methods: Eighteen highly-trained youth runners (15.

View Article and Find Full Text PDF

Objectives: The End-of-Life Dementia-Comfort Assessment in Dying (EOLD-CAD) scale is one of the few outcome instruments designed to capture symptom burden and well-being among nursing home residents with dementia; however, psychometric evaluations of the EOLD-CAD are limited. Although the instrument is often used to assess outcomes prospectively, it was originally developed and tested as a postmortem assessment. The purpose of this study is to evaluate the instrument properties of the EOLD-CAD using staff reports from a large sample of nursing home residents with cognitive impairment prior to death.

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!