Evaluating Response Mechanisms in a Life-Space Mobility Instrument with a 'Stem and Leaf' Format.
1Carlos Siordia, Department of Epidemiology, 130 North Bellefield Ave, University of Pittsburgh, Pittsburgh, PA 15213. Phone: + 1 (412) 383-1708.
The Journal of Frailty & Aging
|April 13, 2016
Summary
The stem and leaf format of life-space mobility instruments does not appear to affect response patterns in older adults. Further research is needed on how instrument formats influence self-report responses.
Area of Science:
- Gerontology
- Epidemiology
- Psychometrics
Background:
- Life-space mobility scales are increasingly used to measure enacted mobility in individuals aged 80 and older.
- Understanding factors influencing response patterns is crucial for accurate mobility assessment.
Purpose of the Study:
- To evaluate if the "stem and leaf" format of a life-space mobility instrument impacts response patterns.
- To investigate potential effects on item non-response, illogical responses, and 'no' responses.
Main Methods:
- Descriptive statistics and readability ease scoring were employed.
- Ten ordinary least squares regressions were conducted.
- Data from 698 females and 376 males from Wave-7 (2010-2011) of the Hispanic Established Population for the Epidemiological Study of the Elderly (H-EPESE) were analyzed.
Main Results:
- Response patterns suggest the stem and leaf format does not induce item non-response.
- The format did not appear to lead to illogical or 'no' responses.
Conclusions:
- The stem and leaf format of the life-space mobility instrument does not seem to negatively affect response patterns.
- Given the prevalence of self-report measures, additional research is warranted to understand the impact of instrument formats on response mechanisms.
More Related Videos
Related Concept Videos
Response Surface Methodology
796
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
The process of RSM involves several key steps:
796
Mechanistic Models: Compartment Models in Individual and Population Analysis
321
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
321


