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Italian Studies on Food and Quality of LifeExperienced Food Insecurity: A Compared Analysis between Formative and Reflective Approach

Italian Studies on Food and Quality of Life: Experienced Food Insecurity: A Compared Analysis... [Overcoming Food Insecurity (or food poverty) in the world is at the heart of any meaningful effort of sustainable development as it is a fundamental pillar for quality of life. In recent years, the Food and Agriculture Organization (FAO) developed the Food Insecurity Experience Scale (FIES), the first experience-based metric for the measurement of food insecurity at the individual level to be surveyed globally. A key aspect of FIES is the fact that it measures food insecurity across the population both in developing and in developed countries, allowing to understand changes which are of upmost importance in the challenging times we are living. The FIES is a most interesting case where the nature of the measure (formative or reflective) is not defined theoretically. In the intention of the developer of the scale, it is a reflective measurement (and this is confirmed by high correlation). However, this study argues that their objectives may be better aligned with formative investigations, due to the short length of the scale, and based on the results of the exploratory factor analysis. To illustrate this approach, the author discusses the distinction between commonly used reflective measures in comparison to the formative latent variable model, and points out the advantages and limitations of formative specifications using the example of the FIES. The specific informational value of each formative indicator will be discussed in terms of policies implications for the assessment of food insecurity in different areas.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Italian Studies on Food and Quality of LifeExperienced Food Insecurity: A Compared Analysis between Formative and Reflective Approach

Part of the Social Indicators Research Series Book Series (volume 85)
Editors: Facioni, Carolina; Di Francesco, Gabriele; Corvo, Paolo

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References (2)

  • LS Alaimo (2020)

    383

    Social Indicators Research, Springer, 147

  • RP Bagozzi (2011)

    261

    MIS Quarterly, 35

Publisher
Springer International Publishing
Copyright
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
ISBN
978-3-030-97805-1
Pages
91 –112
DOI
10.1007/978-3-030-97806-8_6
Publisher site
See Chapter on Publisher Site

Abstract

[Overcoming Food Insecurity (or food poverty) in the world is at the heart of any meaningful effort of sustainable development as it is a fundamental pillar for quality of life. In recent years, the Food and Agriculture Organization (FAO) developed the Food Insecurity Experience Scale (FIES), the first experience-based metric for the measurement of food insecurity at the individual level to be surveyed globally. A key aspect of FIES is the fact that it measures food insecurity across the population both in developing and in developed countries, allowing to understand changes which are of upmost importance in the challenging times we are living. The FIES is a most interesting case where the nature of the measure (formative or reflective) is not defined theoretically. In the intention of the developer of the scale, it is a reflective measurement (and this is confirmed by high correlation). However, this study argues that their objectives may be better aligned with formative investigations, due to the short length of the scale, and based on the results of the exploratory factor analysis. To illustrate this approach, the author discusses the distinction between commonly used reflective measures in comparison to the formative latent variable model, and points out the advantages and limitations of formative specifications using the example of the FIES. The specific informational value of each formative indicator will be discussed in terms of policies implications for the assessment of food insecurity in different areas.]

Published: May 11, 2022

Keywords: Food insecurity; Formative measurement model; Reflective measurement model; Scale development; Index construction; MIMIC; Confirmatory Factor Analysis

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