| Title |
An evaluation of the performance and suitability of R × C methods for ecological inference with known true values
|
|---|---|
| Published in |
Quality & Quantity, February 2017
|
| DOI | 10.1007/s11135-017-0481-z |
| Pubmed ID | |
| Authors |
Carolina Plescia, Lorenzo De Sio |
| Abstract |
Ecological inference refers to the study of individuals using aggregate data and it is used in an impressive number of studies; it is well known, however, that the study of individuals using group data suffers from an ecological fallacy problem (Robinson in Am Sociol Rev 15:351-357, 1950). This paper evaluates the accuracy of two recent methods, the Rosen et al. (Stat Neerl 55:134-156, 2001) and the Greiner and Quinn (J R Stat Soc Ser A (Statistics in Society) 172:67-81, 2009) and the long-standing Goodman's (Am Sociol Rev 18:663-664, 1953; Am J Sociol 64:610-625, 1959) method designed to estimate all cells of R × C tables simultaneously by employing exclusively aggregate data. To conduct these tests we leverage on extensive electoral data for which the true quantities of interest are known. In particular, we focus on examining the extent to which the confidence intervals provided by the three methods contain the true values. The paper also provides important guidelines regarding the appropriate contexts for employing these models. |
X Demographics
The data shown below were collected from the profiles of 28 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 8 | 29% |
| Venezuela, Bolivarian Republic of | 1 | 4% |
| Mexico | 1 | 4% |
| Ireland | 1 | 4% |
| Austria | 1 | 4% |
| Unknown | 16 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 23 | 82% |
| Scientists | 4 | 14% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 2 | 13% |
| Student > Master | 2 | 13% |
| Researcher | 2 | 13% |
| Student > Ph. D. Student | 2 | 13% |
| Lecturer | 1 | 7% |
| Other | 2 | 13% |
| Unknown | 4 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 9 | 60% |
| Psychology | 1 | 7% |
| Unknown | 5 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 November 2019.
All research outputs
#1,658,569
of 25,732,188 outputs
Outputs from Quality & Quantity
#14
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Outputs of similar age
#34,173
of 427,111 outputs
Outputs of similar age from Quality & Quantity
#1
of 12 outputs
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