| Title |
To be objective in Experimental Phenomenology: a Psychophysics application
|
|---|---|
| Published in |
SpringerPlus, October 2016
|
| DOI | 10.1186/s40064-016-3418-4 |
| Pubmed ID | |
| Authors |
Roberto Burro |
| Abstract |
Several scientific psychologists consider the approach for the study of perceptive problems of the Experimental Phenomenology is problematic, namely that the phenomenological demonstrations are subjectively based and they do not produce quantifiable results. The aim of this study is to show that Experimental Phenomenology can lead to conclusions objective and quantifiable and propose a procedure allowing to obtain objective measuring using the Rasch mathematical model able to describe the experimental data gathered in Experimental Phenomenology procedures. In order to demonstrate this, a Psychophysics simulated study is proposed. It is possible to carry out a fundamental measurement starting from Experimental Phenomenology by way of the Theory of Conjoint Measurement. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
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 % |
|---|---|---|
| United States | 1 | 7% |
| Unknown | 14 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 3 | 20% |
| Student > Ph. D. Student | 3 | 20% |
| Researcher | 2 | 13% |
| Student > Master | 1 | 7% |
| Lecturer | 1 | 7% |
| Other | 2 | 13% |
| Unknown | 3 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 4 | 27% |
| Social Sciences | 2 | 13% |
| Business, Management and Accounting | 1 | 7% |
| Computer Science | 1 | 7% |
| Decision Sciences | 1 | 7% |
| Other | 3 | 20% |
| Unknown | 3 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 14 May 2022.
All research outputs
#6,446,835
of 22,899,952 outputs
Outputs from SpringerPlus
#396
of 1,850 outputs
Outputs of similar age
#98,955
of 319,525 outputs
Outputs of similar age from SpringerPlus
#42
of 150 outputs
Altmetric has tracked 22,899,952 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,850 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done well, scoring higher than 77% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 319,525 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 150 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.