2014
DOI: 10.1080/17487870.2014.909313
|View full text |Cite
|
Sign up to set email alerts
|

Citizens evaluate public services: a critical overview of statistical methods for analysing user satisfaction

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
19
0

Year Published

2014
2014
2021
2021

Publication Types

Select...
5
2
1

Relationship

0
8

Authors

Journals

citations
Cited by 24 publications
(19 citation statements)
references
References 31 publications
0
19
0
Order By: Relevance
“…Given that recent studies find a relationship between both, future efforts can also compare citizen assessments with objective measures or official data if available. Methodologically, as a complex concept, citizen assessments or satisfaction should ideally be measured through a synthetic measure with composite indicators and analyzed by more sophisticated methods as presented by Ferrari and Manzi [3]. …”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Given that recent studies find a relationship between both, future efforts can also compare citizen assessments with objective measures or official data if available. Methodologically, as a complex concept, citizen assessments or satisfaction should ideally be measured through a synthetic measure with composite indicators and analyzed by more sophisticated methods as presented by Ferrari and Manzi [3]. …”
Section: Discussionmentioning
confidence: 99%
“…Unlike the individual assessments using composite indicators, the overall assessment was gleaned by directly asking respondents to assess the current whole conditions of UGSs, rather than individual UGSs, in Guangzhou, on a six-scale measurement from very satisfactory (coded as 1) to very unsatisfactory (6). Despite the complexity of the concept [3], the main objective of the current study is not to measure the overall assessment or satisfaction. For the sake of simplicity, therefore, a direct rather than synthetic measure of the overall assessment is employed in this study.…”
Section: Methodsmentioning
confidence: 99%
“…A review of such methods can be found in Ferrari and Manzi (2014). According to the authors, the most used methods are logit, probit and lineal regression.…”
Section: Methodsmentioning
confidence: 99%
“…When it is used to synthesize information from a pack of numeric variables in a small set of components, standard PCA is a suitable method. However, when operating with mixed measurement levels (nominal, ordinal, and numeric variables) NLPCA is more appropriate (Ferrari and Manzi, 2014;Linting, Meulman, Groenen and van der Koojj, 2007). Gifi (1990) offers a comprehensive explanation of nonlinear multivariate methods based on optimal scaling.…”
Section: Nonlinear Principal Component Analysis (Nlpca)mentioning
confidence: 99%