A still further note on freeman's measure of association

Buck, Jane L.; Finner, Stephen L.

doi:10.1007/bf02294111

Cited by 3 publications

(3 citation statements)

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“…From the box plots, it can be seen that people living in apartments (mainly located in densely urbanised areas) placed more value (about 1 score on average) in spending time in nature relative to people living in villas (mainly Correlations between the motivation type and other socio-demographic variables (e.g., age and education) were obtained using the Polyserial correlation coefficient [85]; the results illustrated weak correlations. On the other hand, to evaluate the correlation between numerical and nominal variables, we used a statistical measure called the Freeman Theta coefficient [86], which ranges from 0 to 1, where 0 implies no association between variables and 1 indicates a perfect association. The results of this test on motivation and residence type illustrated that there was a moderate association between residence type and the two motivations of spending time in the nature and gaining recognition among others, with theta coefficients of 0.32 and 0.34, respectively.…”

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A Framework for Classifying Participant Motivation that Considers the Typology of Citizen Science Projects

Lotfian

Ingensand

Brovelli

2020

IJGI

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Citizen science, the participation of the public in scientific projects, is growing significantly, especially with technological developments in recent years. Volunteers are the heart of citizen science projects; therefore, understanding their motivation and how to sustain their participation is the key to success in any citizen science project. Studies on participants of citizen science projects illustrate that there is an association between participant motivation and the type of contribution to projects. Thus, in this paper, we define a motivational framework, which classifies participant motivation taking into account the typologies of citizen science projects. Within this framework, we also take into account the importance of motivation in initiating and sustaining participation. This framework helps citizen science practitioners to have comprehensive knowledge about potential motivational factors that can be used to recruit participants, as well as sustaining participation in their projects.

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confidence: 99%

A Framework for Classifying Participant Motivation that Considers the Typology of Citizen Science Projects

Lotfian

Ingensand

Brovelli

2020

IJGI

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“…According to Cohen's table of effect size (Cohen, 1992), the highlighted cells show medium correlation between the variables. However, to analyze the association between ordinal and nominal variables we used the Freeman's theta coefficient (Buck and Finner, 1985). This coefficient ranges from 0 to 1, where 1 indicates a perfect association between the variables, while 0 indicates no association.…”

Section: Correlational Analysismentioning

confidence: 99%

Participants’ motivations to contribute to biodiversity citizen science projects

Lotfian

Ingensand

Ertz

et al. 2018

Preprint

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The public participation in scientific projects (citizen science) is significantly increasing specially with technology developments in recent years. Volunteers play an essential role in citizen science projects, therefore understanding their motivations, and understanding how to sustain them to keep contributing to the project are of utmost importance. This paper presents the analysis of volunteers’ characteristics and their motivations to contribute to a citizen science project, which aims at encouraging citizens to take action for biodiversity. The results from the online survey illustrate that people are more motivated by intrinsic nature-related motives rather than extrinsic motivations.

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“…Statystyka ta mieści się w zakresie między 0 a 1, a im większa jej wartość, tym wyższa asocjacja pomiędzy zmiennymi (Buck i Finner, 1985;Hubert, 1974).…”

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Czynniki determinujące szansę poparcia bezwarunkowego dochodu podstawowego

Bystroń¹

2022

Zastosowanie Metod Ilościowych W Ekonomii I Finansach

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Koncepcja dochodu podstawowego rozważana jest przede wszystkim w kontekście niesionych przez niego potencjalnych korzyści i zagrożeń. W niniejszym artykule zastosowano nieco odmienne podejście do problemu i skierowano uwagę na jego zadeklarowanych zwolenników, celem ustalenia cech determinujących szansę na wyrażenie poparcia. Na podstawie danych pochodzących z ankiety przeprowadzonej wśród obywateli państw Unii Europejskiej zbudowano model regresji logistycznej, który opisuje ową szansę. Za jego pomocą ustalono, iż pewne cechy (m.in. średni poziom wykształcenia, brak pracy na pełen etat, posiadanie dzieci) wpływają na analizowaną szansę stymulująco, z kolei inne cechy, takie jak np. wiek czy płeć, nie są statystycznie istotne. Wyniki przeprowadzonych badań mogą skłaniać ku poszukiwaniu kolejnych cech wyznaczających poparcie dla bezwarunkowego dochodu podstawowego, a także mogą okazać się pomocne w wyłonieniu grup społecznych, w których dochód ten uzyskałby wysokie poparcie w ewentualnym referendum.

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A still further note on freeman's measure of association

Abstract: correlation, Freeman, measure of association, nominal, non-parametric, sampling distribution,

Cited by 3 publications

References 6 publications

A Framework for Classifying Participant Motivation that Considers the Typology of Citizen Science Projects

A Framework for Classifying Participant Motivation that Considers the Typology of Citizen Science Projects

Participants’ motivations to contribute to biodiversity citizen science projects

Czynniki determinujące szansę poparcia bezwarunkowego dochodu podstawowego

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