A Stochastic Cumulative Scaling Method Applied to Measuring Wealth in Indonesian Villages

Zinn, Frank; Henderson, Dale; Nystuen, John D.; Drake, William D.

doi:10.1068/a241155

Cited by 6 publications

(3 citation statements)

References 23 publications

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“…Zinn et al [ 15 ] applied the Mokken scaling method to asset data in Indonesia in 1992 and found that a scale could be made up from selected assets. They argued that the technique was attractive because it was easy to see the relationship between wealth scores and the list of assets.…”

Section: Discussionmentioning

confidence: 99%

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Development of an international scale of socio-economic position based on household assets

Townend

Minelli

Harrabi

et al. 2015

Emerg Themes Epidemiol

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BackgroundThe importance of studying associations between socio-economic position and health has often been highlighted. Previous studies have linked the prevalence and severity of lung disease with national wealth and with socio-economic position within some countries but there has been no systematic evaluation of the association between lung function and poverty at the individual level on a global scale. The BOLD study has collected data on lung function for individuals in a wide range of countries, however a barrier to relating this to personal socio-economic position is the need for a suitable measure to compare individuals within and between countries. In this paper we test a method for assessing socio-economic position based on the scalability of a set of durable assets (Mokken scaling), and compare its usefulness across countries of varying gross national income per capita.ResultsTen out of 15 candidate asset questions included in the questionnaire were found to form a Mokken type scale closely associated with GNI per capita (Spearman’s rank rs = 0.91, p = 0.002). The same set of assets conformed to a scale in 7 out of the 8 countries, the remaining country being Saudi Arabia where most respondents owned most of the assets. There was good consistency in the rank ordering of ownership of the assets in the different countries (Cronbach’s alpha = 0.96). Scores on the Mokken scale were highly correlated with scores developed using principal component analysis (rs = 0.977).ConclusionsMokken scaling is a potentially valuable tool for uncovering links between disease and socio-economic position within and between countries. It provides an alternative to currently used methods such as principal component analysis for combining personal asset data to give an indication of individuals’ relative wealth. Relative strengths of the Mokken scale method were considered to be ease of interpretation, adaptability for comparison with other datasets, and reliability of imputation for even quite large proportions of missing values.

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Section: Discussionmentioning

confidence: 99%

“…Loevinger’s coefficients can be calculated for the fit of each individual item in the scale (H j ) and for the scale as a whole (H). The usual interpretation is that 0.3 ≤ H<0.4 implies a weak scale, 0.4 ≤ H<0.5 a medium scale and ≥0.5 a strong scale, whilst scales with H < 0.3 do not satisfy a Mokken scale [ 14 , 15 ].…”

Section: Methodsmentioning

confidence: 99%

Development of an international scale of socio-economic position based on household assets

Townend

Minelli

Harrabi

et al. 2015

Emerg Themes Epidemiol

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show abstract

“…For many consumers and micro-entrepreneurs in SSA, conditions of resource constraints and the resulting necessity to prioritize products will apply. Moreover, in an empirical study, Zinn et al (1992) successfully applied acquisition pattern analysis to measure wealth among low-income villagers in Indonesia. Those villagers who were positioned closer to the hierarchy’s apex, that is, owning more products, were categorized as relatively wealthy.…”

Section: Theorymentioning

confidence: 99%

Adoption of services and apps on mobile phones by micro-entrepreneurs in Sub-Saharan Africa

Paas

Eijdenberg

Masurel

2020

International Journal of Market Research

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This article shows that acquisition pattern analysis is highly suited for research in developing economies. Consumers in such contexts prioritize the adoption of alternative product-services as a result of resource constraints. In the reported acquisition pattern analysis, we provide insights into sequential adoption of services and applications (apps) on mobile phones, for example, Facebook and mobile money, by micro-entrepreneurs in Sub-Saharan Africa. We collected survey data from 169 Zambian food vendors, and through Mokken scale analysis we derived an acquisition pattern for 12 analyzed services and apps. Micro-entrepreneurs with more employees, tertiary education, and who were younger tended to be closer to the hierarchy’s apex. These findings imply that the individual’s mobile phone technology maturity and business development drive their adoption of services and apps. After presenting these results, we conclude with a discussion of the theoretical insights, managerial insights, and implications for policy makers resulting from the study.

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Microcomputers and development planning: Two information systems in Indonesia

Zinn

1993

Computers, Environment and Urban Systems

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A Stochastic Cumulative Scaling Method Applied to Measuring Wealth in Indonesian Villages

Cited by 6 publications

References 23 publications

Development of an international scale of socio-economic position based on household assets

Development of an international scale of socio-economic position based on household assets

Adoption of services and apps on mobile phones by micro-entrepreneurs in Sub-Saharan Africa

Microcomputers and development planning: Two information systems in Indonesia

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