2.39 Developing and Validating the Teachers' Interactions in Primary School Questionnaire (TIPS-Q): Factor Analysis Results

2017 ◽  
Vol 56 (10) ◽  
pp. S190-S191
Author(s):  
Nicole Quiterio ◽  
Thomas P. Tarshis
Keyword(s):  
Factor Analysis ◽  
Primary School ◽  
Q Factor ◽  
Q Factor Analysis

Information and Decision Making in Economic Development

1969 ◽  
Vol 46 (3) ◽  
pp. 565-575 ◽  
Author(s):  
James W. Markham ◽  
James E. Grunig
Keyword(s):  
Decision Making ◽  
Economic Development ◽  
Factor Analysis ◽  
Problem Solving ◽  
Information Seeking ◽  
Q Factor ◽  
Data Support ◽  
Q Factor Analysis

In this study of Colombian latifundistas Q factor analysis yielded six decision typologies. Data support the hypothesis that information seeking is highly related to problem solving among entrepreneur types.

A boundary detecting method for post-tensioned pre-stressed ducts based on Q-factor analysis

2016 ◽  
Vol 248 ◽  
pp. 88-93 ◽  
Author(s):  
Nan Li ◽  
Mingchen Cao ◽  
Kui Liu ◽  
Cunfu He ◽  
Bin Wu
Keyword(s):  
Factor Analysis ◽  
Q Factor ◽  
Detecting Method ◽  
Q Factor Analysis ◽  
Post Tensioned

A comparison of cluster analysis and Q-factor analysis

1976 ◽  
Vol 32 (1) ◽  
pp. 59-64 ◽  
Author(s):  
Martin E. Morf ◽  
Catherine M. Miller ◽  
John M. Syrotuik
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Q Factor ◽  
Q Factor Analysis

On artifacts and meaning in person‐centred analyses: comment on McCrae, Terracciano, Costa and Ozer (2005)

2006 ◽  
Vol 20 (1) ◽  
pp. 45-47 ◽  
Author(s):  
Jens B. Asendorpf
Keyword(s):  
Factor Analysis ◽  
Social Desirability ◽  
Q Factor ◽  
Interindividual Differences ◽  
High Q ◽  
The Social ◽  
Standard Deviations ◽  
Q Factors ◽  
Q Sort ◽  
Q Factor Analysis

McCrae et al.'s (2006) analyses of the California Adult Q‐Set (CAQ) are flawed in two respects. First, they misunderstand the meaning of Q‐factors by claiming that high Q‐correlations between the first Q‐factor and item endorsements or the social desirability of items are an artifact. Second, their attempt to overcome this ‘artifact’ by conducting a Q‐factor analysis of interindividually standardised items induces, ironically, a real artifact because this approach ignores meaningful interindividual differences in the intraindividual means and standard deviations of the standardised Q‐sort profiles. Instead of closing doors on person‐centred analyses of personality data, more of these doors should be passed through. Copyright © 2006 John Wiley & Sons, Ltd.

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