Scale development and validation are critical to much of the work in the health, social, and behavioral sciences. However, the constellation of techniques required for scale development and evaluation can be onerous, jargon-filled, unfamiliar, and resource-intensive. Further, it is often not a part of graduate training. Therefore, our goal was to concisely review the process of scale development in as straightforward a manner as possible, both to facilitate the development of new, valid, and reliable scales, and to help improve existing ones. To do this, we have created a primer for best practices for scale development in measuring complex phenomena. This is not a systematic review, but rather the amalgamation of technical literature and lessons learned from our experiences spent creating or adapting a number of scales over the past several decades. We identified three phases that span nine steps. In the first phase, items are generated and the validity of their content is assessed. In the second phase, the scale is constructed. Steps in scale construction include pre-testing the questions, administering the survey, reducing the number of items, and understanding how many factors the scale captures. In the third phase, scale evaluation, the number of dimensions is tested, reliability is tested, and validity is assessed. We have also added examples of best practices to each step. In sum, this primer will equip both scientists and practitioners to understand the ontology and methodology of scale development and validation, thereby facilitating the advancement of our understanding of a range of health, social, and behavioral outcomes.
ObjectiveProgress towards equitable and sufficient water has primarily been measured by population-level data on water availability. However, higher-resolution measures of water accessibility, adequacy, reliability and safety (ie, water insecurity) are needed to understand how problems with water impact health and well-being. Therefore, we developed the Household Water InSecurity Experiences (HWISE) Scale to measure household water insecurity in an equivalent way across disparate cultural and ecological settings.MethodsCross-sectional surveys were implemented in 8127 households across 28 sites in 23 low-income and middle-income countries. Data collected included 34 items on water insecurity in the prior month; socio-demographics; water acquisition, use and storage; household food insecurity and perceived stress. We retained water insecurity items that were salient and applicable across all sites. We used classical test and item response theories to assess dimensionality, reliability and equivalence. Construct validity was assessed for both individual and pooled sites using random coefficient models.FindingsTwelve items about experiences of household water insecurity were retained. Items showed unidimensionality in factor analyses and were reliable (Cronbach’s alpha 0.84 to 0.93). The average non-invariance rate was 0.03% (threshold <25%), indicating equivalence of measurement and meaning across sites. Predictive, convergent and discriminant validity were also established.ConclusionsThe HWISE Scale measures universal experiences of household water insecurity across low-income and middle-income countries. Its development ushers in the ability to quantify the prevalence, causes and consequences of household water insecurity, and can contribute an evidence base for clinical, public health and policy recommendations regarding water.
There is rapidly evolving literature on water insecurity in the general adult population, but the role of water insecurity during the vulnerable periods of pregnancy and postpartum, or in the context of HIV, has been largely overlooked. Therefore, we conducted an exploratory study, using Go Along interviews, photo-elicitation interviews, and pile sorts with 40 pregnant and postpartum Kenyan women living in an area of high HIV prevalence. We sought to (1) describe their lived experiences of water acquisition, prioritisation, and use and (2) explore the consequences of water insecurity. The results suggest that water insecurity is particularly acute in this period, and impacts women in far-reaching and unexpected ways. We propose a broader conceptualisation of water insecurity to include consideration of the consequences of water insecurity for maternal and infant psychosocial and physical health, nutrition, and economic well-being.
Despite the central importance of water for human wellbeing and development, researchers and practitioners have few tools to quantitatively measure, assess, and compare the scope and scale of household and individual water insecurity across cultural and climatic variations. There are multiple definitions of water insecurity, and the analytical tools for measuring household-level water insecurity are in their infancy. This paper provides an overview and systematic evaluation of current household and individual water in security metrics for human development. We seek to advance micro-level metrics-attending to the considerations of dimensionality, temporality, unit of analysis, and comparabilitybecause they will provide the research community with necessary tools to untangle the complex determinants and outcomes of water insecurity. Moreover, such metrics will support the translation of research outcomes into meaningful and useful products and results for stakeholders, communities, and decision-makers.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.