Influence of psychoanalytical training on professional performance in a sample of French speaking psychotherapists

1994 ◽  
Vol 9 (4) ◽  
pp. 211-220 ◽  
Author(s):  
A Dazord ◽  
P Gerin ◽  
JD Davis ◽  
ML Davis ◽  
N Aapro ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Common Core ◽  
Multivariate Analyses ◽  
Multiple Correspondence Analysis ◽  
International Study ◽  
Principal Component ◽  
Questionnaire Data ◽  
Professional Performance ◽  
French Speaking ◽  
Perceived Effects

SummaryThis study is part of a more extensive research conducted by a group of scientists from different countries, who have joined forces to conduct an international study on the development of the therapist, and to develop a novel instrument for therapists, the “Development of Psychotherapists’ Common Core Questionnaire” (CCQ). We report here the results based on the answers of a French-speaking sample to this questionnaire. Data were analyzed using univariate (non parametric tests) and multivariate analyses (Principal Component Analysis and Multiple Correspondence Analysis). The perceived effects of psychoanalytical training were examined. The therapists’ own perception on their current skills and the type of difficulties they experienced were very similar, whether or not they had received psychoanalytical training. However, striking and significant differences in coping strategies were observed between the two groups.

scholarly journals Multivariate characteristics of selected grass varieties for seed production

2019 ◽  
Vol 55 (No. 2) ◽  
pp. 83-86
Author(s):  
Marzena Iwańska ◽  
Danuta Martyniak ◽  
Marcin Martyniak ◽  
Dariusz Gozdowski
Keyword(s):  
Principal Component Analysis ◽  
Growth Rate ◽  
Cluster Analysis ◽  
Seed Production ◽  
Plant Resistance ◽  
Hierarchical Cluster Analysis ◽  
Multivariate Analyses ◽  
Principal Component ◽  
Hierarchical Cluster ◽  
Festuca Rubra

Data were obtained in a field experiment carried out at Plant Breeding and Acclimatization Institute Radzikow (central Poland) in 2009–2011. The aim of this study was a multivariate evaluation of 13 advanced lines and cultivars of Festuca rubra, taking into account traits important in seed production. Eleven traits of the grasses and plant resistance to diseases were evaluated. On the basis of multivariate analyses, i.e. hierarchical cluster analysis and principal component analysis, groups of varieties were separated and described, relationships between the traits were evaluated as well. The traits with the biggest influence on multivariate diversity of examined varieties were correlated with the first principal component i.e. height of plants, seeds yield, growth rate of plants, leaf width and time to beginning of earing.  

scholarly journals Characterisation of flaxseed cultivars based on NIR diffusion reflectance spectra of whole seeds and derived samples

2019 ◽  
Vol 37 (No. 5) ◽  
pp. 374-382
Author(s):  
Yana Troshchynska ◽  
Roman Bleha ◽  
Lenka Kumbarová ◽  
Marcela Sluková ◽  
Andrej Sinica ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Fatty Acid Composition ◽  
Fatty Acid ◽  
Acid Composition ◽  
Multivariate Analyses ◽  
Principal Component ◽  
Reflectance Spectra ◽  
Spectral Features ◽  
Important Fatty Acid

Discrimination of yellow and brown flaxseed cultivars was made based on diffusion reflectance FT-NIR spectra of whole seeds. The spectra of flaxseed kernels, hulls, defatted flours, and oils were also measured for comparison. Hierarchy cluster analysis (HCA) and principal component analysis (PCA) were used for the discrimination. Multivariate analyses of FT-NIR spectra led to satisfactory discrimination of all flaxseed cultivars of this study mainly according to the nutritionally important fatty acid composition that was confirmed by comparison with the corresponding spectra of flaxseed kernel and oil. By contrast, spectral features of proteins, polysaccharides, and tannins predominated in the FT-NIR spectra of flaxseed hulls and defatted flours.

scholarly journals Fourier Transform Infrared Microspectroscopy Combined with Principal Component Analysis and Artificial Neural Networks for the Study of the Effect of β-Hydroxy-β-Methylbutyrate (HMB) Supplementation on Articular Cartilage

2021 ◽  
Vol 22 (17) ◽  
pp. 9189
Author(s):  
Izabela Świetlicka ◽  
Siemowit Muszyński ◽  
Carina Prein ◽  
Hauke Clausen-Schaumann ◽  
Attila Aszodi ◽  
...  
Keyword(s):  
Neural Networks ◽  
Principal Component Analysis ◽  
Fourier Transform ◽  
Artificial Neural Networks ◽  
Articular Cartilage ◽  
Multivariate Analyses ◽  
Principal Component ◽  
Fourier Transform Infrared ◽  
Infrared Microspectroscopy ◽  
Fourier Transform Infrared Microspectroscopy

The potential of Fourier Transform infrared microspectroscopy (FTIR microspectroscopy) and multivariate analyses were applied for the classification of the frequency ranges responsible for the distribution changes of the main components of articular cartilage (AC) that occur during dietary β-hydroxy-β-methyl butyrate (HMB) supplementation. The FTIR imaging analysis of histological AC sections originating from 35-day old male piglets showed the change in the collagen and proteoglycan contents of the HMB-supplemented group compared to the control. The relative amount of collagen content in the superficial zone increased by more than 23% and in the middle zone by about 17%, while no changes in the deep zone were observed compared to the control group. Considering proteoglycans content, a significant increase was registered in the middle and deep zones, respectively; 62% and 52% compared to the control. AFM nanoindentation measurements collected from animals administered with HMB displayed an increase in AC tissue stiffness by detecting a higher value of Young’s modulus in all investigated AC zones. We demonstrated that principal component analysis and artificial neural networks could be trained with spectral information to distinguish AC histological sections and the group under study accurately. This work may support the use and effectiveness of FTIR imaging combined with multivariate analyses as a quantitative alternative to traditional collagenous tissue-related histology.

scholarly journals Multivariate Analysis of Cashew (Anacardium occidentale L.) Germplasm in Nigeria

2007 ◽  
Vol 56 (1-6) ◽  
pp. 170-179 ◽  
Author(s):  
O. M. Aliyu ◽  
J. A. Awopetu
Keyword(s):  
Principal Component Analysis ◽  
Multivariate Analyses ◽  
Principal Component ◽  
Component Analysis ◽  
Southwestern Nigeria ◽  
Genetic Population ◽  
Growth Habits ◽  
Clustering Pattern ◽  
Fruit Characters ◽  
Brazilian Populations

Abstract Multivariate analyses were carried out on fifty-nine germplasm accessions of cashew derived from both local and exotic populations established at the research plots of Cocoa Research Institute of Nigeria (CRIN), Ibadan, southwestern Nigeria, to assess the extent of variability and pattern of genetic diversity among these cashew populations. Data collected on 36 quantitative and 33 qualitative plant characters were subjected to taximetric tools of Euclidean distance of complete linkage (furthest neighbour) and principal component analysis (PCA). The multivariate analyses tentatively grouped the selections into four distinct morphogenetically diverse clusters. The groupings appear to be a function of origin, eco-geographical distribution, genetic and/or agronomic affinity of the selections. Brazilian populations distinctly clustered together in two major groups while local clones and Indian selections dominated the other two major clusters with each group having its unique fruiting and tree growth habits. The clustering pattern at sub-cluster levels clearly reflects affinity of each genetic population. The principal component analysis and the potency indices showed that fruit characters are the most discriminating parameters for delineating cashew at the varietal level.

scholarly journals Discrimination of flax cultivars based on visible diffusion reflectance spectra and colour parameters of whole seeds

2019 ◽  
Vol 37 (No. 3) ◽  
pp. 199-204
Author(s):  
Yana Troshchynska ◽  
Roman Bleha ◽  
Lenka Kumbarová ◽  
Marcela Sluková ◽  
Andrej Sinica ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Linear Correlation ◽  
Multivariate Analyses ◽  
Principal Component ◽  
Component Analysis ◽  
Reflectance Spectra ◽  
Strong Linear Correlation ◽  
Colour Parameters ◽  
The Individual

Discrimination of yellow and brown seeded flax cultivars was made based on visible (Vis) diffusion reflectance spectra of whole seeds. Hierarchy cluster analysis (HCA) and principal component analysis (PCA) were used for the discrimination. Multivariate analyses of Vis spectra led to satisfactory discrimination of all flax cultivars of this study. The CIE L*a*b* colour parameters were calculated from the diffusion reflectance Vis spectra. The values of L* were in the range of 48.8–53.6 and 62.6–66.0% for brown and yellow seeded cultivars, respectively. Chromatic parameters a* and b* were in the range of 2.8–4.9 and 7.9–16.4%, respectively. A strong linear correlation (R<sub>2</sub> = 0.9712) was found between a* and b* parameters for all the flaxseed samples. The L* and a* parameters were sufficient for HCA clustering of the individual flax cultivars.

scholarly journals The power of assessment

2017 ◽  
Vol 11 (2) ◽  
pp. 147-175 ◽  
Author(s):  
Pirjo Pollari
Keyword(s):  
Principal Component Analysis ◽  
Regression Analysis ◽  
Mixed Methods ◽  
Secondary School ◽  
Qualitative Data ◽  
Principal Component ◽  
Assessment Methods ◽  
Upper Secondary School ◽  
Questionnaire Data ◽  
Upper Secondary

Assessment wields a great deal of power over students. Yet, there is little research on how students, either in general or as individuals, experience assessment. Therefore, this study aimed to explore what disempowers or empowers students in EFL assessment. A total of 146 students from one Finnish upper secondary school answered a questionnaire on assessment and feedback in their EFL studies. The study utilises mixed methods: primarily, the questionnaire data was analysed quantitatively (principal component analysis, step-wise regression analysis), secondarily, qualitative data and analysis were also used. The analyses showed that students reacted to assessment in highly individual ways. While many students appreciated assessment, a significant minority found assessment disempowering. Assessment caused them considerable anxiety and they did not consider assessment methods good and versatile enough. Furthermore, feedback played a role in assessment disempowerment. Therefore, EFL assessment and feedback methods should be more versatile in order to also cater for those students who currently may feel disempowered by assessment.

scholarly journals Discrimination of storage periods for Macrocybe gigantea (Massee) using UV spectral fingerprints

2016 ◽  
Vol 33 (No. 5) ◽  
pp. 441-448 ◽  
Author(s):  
Y. Li ◽  
J. Zhang ◽  
H.-G. Liu ◽  
H. Jin ◽  
Y.-Z. Wang ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Reliable Method ◽  
Multivariate Analyses ◽  
Uv Spectroscopy ◽  
Principal Component ◽  
Qualitative Assessment ◽  
And Cluster Analysis ◽  
Main Components ◽  
Storage Times ◽  
Over Time

Macrocybe gigantea (Massee) Pegler &amp; Lodge is a species of edible mushrooms which has important nutritional, medicinal, and economic values. Discrimination of M. gigantea with different storage periods is helpful to guarantee the authenticity and to promote marketing of this species. We focused on the establishment of the fingerprints based on UV spectroscopy to discriminate the wild-grown M. gigantea samples stored for different years and to distinguish the wild-grown and cultured samples which were stored for the same years. The analyses of the data were performed by multivariate analyses such as principal component analysis (PCA) and cluster analysis (CA). UV spectral fingerprints showed that the major composition and content of the main components were significantly variable over time. All the M. gigantea samples which were stored for different years could be successfully grouped by PCA and CA. The results demonstrated that this qualitative assessment could be regarded as a rapid and reliable method for discrimination of M. gigantea with different storage times.

Sign in / Sign up

Export Citation Format

Share Document