2014
DOI: 10.1201/b17700
|View full text |Cite
|
Sign up to set email alerts
|

Multiple Factor Analysis by Example Using R

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
161
0
8

Year Published

2015
2015
2022
2022

Publication Types

Select...
5
2

Relationship

0
7

Authors

Journals

citations
Cited by 181 publications
(194 citation statements)
references
References 0 publications
1
161
0
8
Order By: Relevance
“…Using the raw data, the correlation matrix of the attributes was used as the input of the AHC in the form of a distance matrix. 44 This clustering revealed similar results to the original clustering, confirming the validity of the dendrogram depicted in Fig. 8 and the perceptual constructs identified.…”
Section: Clustering Of Elicited Attributessupporting
confidence: 72%
See 3 more Smart Citations
“…Using the raw data, the correlation matrix of the attributes was used as the input of the AHC in the form of a distance matrix. 44 This clustering revealed similar results to the original clustering, confirming the validity of the dendrogram depicted in Fig. 8 and the perceptual constructs identified.…”
Section: Clustering Of Elicited Attributessupporting
confidence: 72%
“…However, in FP each assessor uses his/her own vocabulary, thus, an attribute given and scored by an assessor may not necessarily relate to a semantically similar attribute given by another assessor. 43 A mathematically based approach, i.e., using the geometrical and the statistical properties of the data points, 44 would reveal the true structure within the dataset. Combined with the definitions given by assessors the internal validity of the formed clusters could be assessed.…”
Section: Generalizing Results-averagingmentioning
confidence: 99%
See 2 more Smart Citations
“…Data editing and the descriptive analyses (percentage distributions, averages, standard deviations, 95% confidence intervals) were performed using Microsoft Excel r . A Multiple Factor Analysis (Pagès, 2014) 2008) to classify surveyed farms according to their main production. This typology is defined by structural farm characteristics (e.g.…”
Section: Discussionmentioning
confidence: 99%