Subtest formation by cluster analysis of the scientific attitude inventory

1978 ◽  
Vol 15 (5) ◽  
pp. 355-360 ◽  
Author(s):  
Philip Nagy
Keyword(s):  
Cluster Analysis ◽  
Scientific Attitude ◽  
Attitude Inventory

scholarly journals Scientific Attitude of Young Children through Literature and Project-Based Learning Organization

2021 ◽  
Vol 7 (2) ◽  
pp. 217
Author(s):  
Veena Prachagool
Keyword(s):  
Young Children ◽  
Learning Organization ◽  
Project Based Learning ◽  
Scientific Attitude ◽  
Behavior Observation ◽  
Attitude Inventory ◽  
Group Interviews ◽  
High Level ◽  
Learning Plans ◽  
Actual Learning

Young children’s scientific attitude is a basic norm of human kind to cultivated actual learning which has been an expected to be a curious, motivated, generous and responsible person. The study aims to investigate scientific attitude of young children through literature-based and project-based learning organization (LPBL). Participants were 25 of young children, age 5-6 years from Mahasarakham University Demonstration School (Elementary), Thailand. The duration of experiment was 8 weeks, 4 days a week and 90 minutes per day that was 32 times. The research instruments were 32 LPBL learning plans, learning behavior observation forms, scientific attitude inventory, and debriefing focuses group interviews. The statistics used in the study were average and standard deviation. The results showed that young children have scientific attitudes was at high level by means of LPBL learning organization. The qualitative data supported that they express scientific attitude accordance with nature of learning.

The scientific attitude inventory: A revision (SAI II)

1997 ◽  
Vol 34 (4) ◽  
pp. 327-336 ◽  
Author(s):  
Richard W. Moore ◽  
Rachel Leigh Hill Foy
Keyword(s):  
Scientific Attitude ◽  
Attitude Inventory

CLUSTER ANALYSIS OF THE MINNESOTA TEACHER ATTITUDE INVENTORY

1953 ◽  
Author(s):  
Robert Callis ◽  
John L. Ferguson
Keyword(s):  
Cluster Analysis ◽  
Teacher Attitude ◽  
Attitude Inventory

Psychometric reevaluation of the scientific attitude inventory-revised (SAI-II)

2008 ◽  
Vol 45 (5) ◽  
pp. 600-616 ◽  
Author(s):  
Michael J. Lichtenstein ◽  
Steven V. Owen ◽  
Cheryl L. Blalock ◽  
Yan Liu ◽  
Kacy A. Ramirez ◽  
...  
Keyword(s):  
Scientific Attitude ◽  
Attitude Inventory

How Views on Death and Time Perspectives Relate to Palliative Care Nurses’ Attitudes Toward Terminal Care?

2021 ◽  
pp. 003022282110552
Author(s):  
Akari Uno
Keyword(s):  
Cluster Analysis ◽  
Palliative Care ◽  
Analysis Of Variance ◽  
Questionnaire Survey ◽  
Terminal Care ◽  
Time Perspective ◽  
Japanese Version ◽  
Time Perspectives ◽  
Time Attitudes ◽  
Attitude Inventory

This study’s purpose was to explore how palliative care nurses’ views on death and time perspectives are related to their terminal care attitudes. A questionnaire survey—consisting of the Death Attitude Inventory, Experiential Time Perspective Scale, and the Japanese version of the Frommelt Attitudes Toward Care of the Dying Scale—was administered to 300 individuals. Cluster analysis was conducted to categorize the way nurses perceive death, which revealed four types: Avoidant, middle, accepting, and indifferent. As a result of the analysis of variance on the terminal care attitudes, based on the types of views on death and time attitudes, it was found that the middle and accepting types, as well as the adaptive formation of time attitudes, were related to positive terminal care attitudes. In conclusion, more effective improvements in attitudes toward terminal care can be expected by incorporating time perspective, in addition to the conventional approaches focusing on death.

Scoring the Scientific Attitude Inventory by Microcomputer

1986 ◽  
Vol 86 (3) ◽  
pp. 181-195
Author(s):  
Kevin D. Finson ◽  
Tom Rahlfs
Keyword(s):  
Scientific Attitude ◽  
Attitude Inventory

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.

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