Herbalism, botany and components analysis study on original plants of frankincense

2100 ◽  
Author(s):  
SUN Lei
Keyword(s):  
Analysis Study ◽  
Components Analysis

scholarly journals Revising the Moral Foundations Questionnaire

2020 ◽  
Author(s):  
Craig A. Harper ◽  
Darren Rhodes
Keyword(s):  
Political Parties ◽  
Concurrent Validity ◽  
Voting Behavior ◽  
Moral Foundations ◽  
Moral Foundations Theory ◽  
Component Structure ◽  
Analysis Study ◽  
Multifactorial Model ◽  
Moral Context ◽  
Components Analysis

The moral foundations theory (MFT) is an influential multifactorial model that posits how decision-making in the moral context originates from a set of six intuitive moral foundations: care, fairness, authority, loyalty, purity, and liberty. The established measure of these foundations – the Moral Foundations Questionnaire (MFQ) – has been used extensively in a range of empirical projects. However, recent analyses of its factor structure and the internal consistency of the each of the foundation clusters have called its validity into question. In this paper, data from a large sample of British voters was used to re-examine the component structure of the MFQ. As opposed to a six-component structure, only three meaningful clusters emerged in an exploratory principal components analysis (Study 1; N = 428): traditionalism, compassion, and liberty. This structure was broadly confirmed in an independent sample (Study 2; N = 322). Concurrent validity was established via correlations with measures of ‘social change’ and ‘systemic inequality’ insecurities (Study 1) and voting behavior and preferences (Study 2). Significant differences on each of the three components of the revised MFQ (MFQ-r) were observed between the voters of different political parties (Study 1) and sides of the Brexit issue (Study 2). Implications for moral foundations theory and its measurement are discussed.

scholarly journals Impulsivity in the eye of the beholder: an analysis of teachers' concepts of impulsive and reflective behaviour

1993 ◽  
Vol 7 (1) ◽  
pp. 47-63 ◽  
Author(s):  
Mechteld R. M. Visser ◽  
Edith A. Das‐Smaal ◽  
Jan A. Feij
Keyword(s):  
Principal Components Analysis ◽  
Principal Components ◽  
Social Behaviour ◽  
Rating Scales ◽  
Teacher Rating ◽  
One Dimension ◽  
Analysis Study ◽  
Components Analysis ◽  
Item Pools

The aim of this research was to investigate teachers' perception of the concept of impulsivity and its relation to the concept of reflectivity. Teacher rating scales for both concepts were constructed by means of the prototype method (Study 1). It appeared that impulsivity refers to social behaviour, whereas reflectivity is more cognitive in character. A Principal Components Analysis (Study 2) showed that the item pools for impulsive and reflective behaviour account for separate components. It is concluded that impulsivity and reflectivity as perceived by teachers are not two extremes of one dimension, but refer to different behavioural domains: social and cognitive.

scholarly journals An X-Ray Fluorescence and Principal Component Analysis study of pottery from Orraon

2019 ◽  
Vol 14 ◽  
pp. 107
Author(s):  
C. Papachristodoulou ◽  
A. Oikonomou ◽  
K. Ioannides ◽  
K. Gravani
Keyword(s):  
Raw Materials ◽  
Principal Component ◽  
Major And Trace Elements ◽  
Local Production ◽  
Statistical Classification ◽  
Analysis Study ◽  
X Ray ◽  
Pottery Sherds ◽  
Components Analysis ◽  
Northwestern Greece

Radioisotope-induced X-ray fluorescence XRF was used to determine the composition of 64 pottery sherds recovered from the settlement of ancient Orraon, northwestern Greece. The XRF data were submitted to Principal components analysis PCA and distinct sample clusters were identified, originating from differences in major and trace elements concentrations. The statistical classification, combined with archaeological criteria, allows conclusions related to the raw materials and paste recipes used in pottery manufacturing. Distinction between local production and imported pottery may also be inferred.

Cluster analysis for large data sets: applications to individual aerosol particles from the mid-pacific

1992 ◽  
Vol 50 (2) ◽  
pp. 1488-1489
Author(s):  
Thomas W. Shattuck ◽  
James R. Anderson ◽  
Neil W. Tindale ◽  
Peter R. Buseck
Keyword(s):  
Cluster Analysis ◽  
Chemical Reactivity ◽  
Large Data ◽  
Large Data Sets ◽  
Particle Analysis ◽  
Data Sets ◽  
Halogen Chemistry ◽  
Complete Study ◽  
Components Analysis ◽  
Automated Scanning

Individual particle analysis involves the study of tens of thousands of particles using automated scanning electron microscopy and elemental analysis by energy-dispersive, x-ray emission spectroscopy (EDS). EDS produces large data sets that must be analyzed using multi-variate statistical techniques. A complete study uses cluster analysis, discriminant analysis, and factor or principal components analysis (PCA). The three techniques are used in the study of particles sampled during the FeLine cruise to the mid-Pacific ocean in the summer of 1990. The mid-Pacific aerosol provides information on long range particle transport, iron deposition, sea salt ageing, and halogen chemistry.Aerosol particle data sets suffer from a number of difficulties for pattern recognition using cluster analysis. There is a great disparity in the number of observations per cluster and the range of the variables in each cluster. The variables are not normally distributed, they are subject to considerable experimental error, and many values are zero, because of finite detection limits. Many of the clusters show considerable overlap, because of natural variability, agglomeration, and chemical reactivity.

Visual Evoked-Response Correlates of Speechreading Performance in Normal-Hearing Adults

1983 ◽  
Vol 26 (1) ◽  
pp. 2-9 ◽  
Author(s):  
Vincent J. Samar ◽  
Donald G. Sims
Keyword(s):  
Multiple Correlation Coefficient ◽  
Evoked Response ◽  
Multiple Correlation ◽  
Potential Significance ◽  
Visual Evoked Response ◽  
Latency Measure ◽  
Two Measures ◽  
Components Analysis ◽  
The Relationship ◽  
Visual Evoked

The relationship between the latency of the negative peak occurring at approximately 130 msec in the visual evoked-response (VER) and speechreading scores was investigated. A significant product-moment correlation of -.58 was obtained between the two measures, which confirmed the fundamental effect but was significantly weaker than that previously reported in the literature (-.90). Principal components analysis of the visual evoked-response waveforms revealed a previously undiscovered early VER component, statistically independent of the latency measure, which in combination with two other components predicted speechreading with a multiple correlation coefficient of S4. The potential significance of this new component for the study of individual differences in speechreading ability is discussed.

Validity of the Elderly Behavior Assessment for Relatives (EBAR)

2000 ◽  
Vol 16 (1) ◽  
pp. 77-83 ◽  
Author(s):  
Lina Pezzuti ◽  
Caterina Laicardi ◽  
Marco Lauriola
Keyword(s):  
Cognitive Functioning ◽  
Mini Mental State Examination ◽  
Rating Scale ◽  
Good Health ◽  
The Elderly ◽  
Behavior Assessment ◽  
Elderly Persons ◽  
Behavior Rating Scale ◽  
Components Analysis ◽  
State Examination

Summary: An Elderly Behavior Assessment for Relatives (EBAR), updating the GERRI ( Schwartz, 1983 ), was administered to relatives (or significant others) of 349 elderly persons, from 60 to over 80 years of age, living at home, in good health and without cognitive impairment. A trained psychologist administered subjects the Life Satisfaction for Elderly Scale (LSES), the Instrumental Activity of Daily Living (IADL), the Mini Mental State Examination (MMSE), and personally answered to an overall elderly behavior rating scale (RA). EBAR items were first examined. The more attractive and less discriminative statements were excluded. A principal components analysis was carried out on the remaining EBAR items. Three factors were extracted. After varimax rotation they were tentatively labeled: Everyday Cognitive Functioning, Depression, and Hostility. Factor-driven EBAR subscales were designed, taking into account simpler items in the factor matrix. Results provide evidence for EBAR construct validity. Everyday Cognitive Functioning is connected to the IADL and the RA scores; Depression is very highly related to the LSES; Hostility is weakly related to RA, IADL, and MMSE, indicating that the scale needs further investigation.

Psychometric Definition of Rorschach Determinant Component Structure

1998 ◽  
Vol 14 (2) ◽  
pp. 116-123 ◽  
Author(s):  
Raymond M. Costello
Keyword(s):  
Lower Order ◽  
Three Dimensions ◽  
Comprehensive System ◽  
Empirical Examination ◽  
Component Structure ◽  
Exner's Comprehensive System ◽  
Factor Analytic ◽  
Confirmatory Factor ◽  
Components Analysis ◽  
Definition Of

This is an empirical examination of Experienced Stimulation (es) and Experience Actual (EA) from Exner's Comprehensive System (CS) for Rorschach's Test, spurred by Kleiger's theoretical critique. Principal components analysis, Cronbach's α, and inter-item correlational analyses were used to test whether 13 determinants used to code Rorschach responses (M, FM, m, CF+C, YF+Y, C'F+C', TF+T, VF+V, FC, FC', FV, FY, FT) are best represented as a one, two, or more-dimensional construct. The 13 determinants appear to reflect three dimensions, a “lower order” sensori-motor dimension (m + CF+C + YF+Y + C'F+C' + TF+T + VF+V) with a suggested label of Modified Experienced Stimulation (MES), a “higher order” sensori-motor dimension (FM + FV + FY + FT) with a suggested label of Modified Experience Potential (MEP), and a third sensori-motor dimension (M+FC+FC') for which the label of Modified Experience Actual (MEA) is suggested. These findings are consistent with Kleiger's arguments and could lead to a refinement of CS constructs by aggregating determinants along lines more theoretically congruous and more internally consistent. A RAMONA model with parameters specified was presented for replication attempts which use confirmatory factor analytic techniques.

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