A Measure of Adaptive Cognition for Entrepreneurship Research

2009 ◽  
Vol 33 (3) ◽  
pp. 695-714 ◽  
Author(s):  
Michael Haynie ◽  
Dean A. Shepherd
Keyword(s):  
Factor Analysis ◽  
Entrepreneurship Research ◽  
Adaptive Cognition ◽  
Further Development ◽  
Task Environments

To sense and adapt to uncertainty may characterize a critical entrepreneurial resource. In this research, we employ a metacognitive lens toward the development of a 36–item inventory designed to assess cognitive adaptability, defined as the ability to be dynamic, flexible, and self–regulating in one's cognitions given dynamic and uncertain task environments. Construction of the inventory, and subsequent factor analysis, is confirmatory in nature based on five theoretically justified dimensions of metacognition. We describe the development of the instrument, discuss its implications for entrepreneurship, and finally offer suggestions for further development and testing.

scholarly journals Confirmatory Factor Analysis of Aurora-a Battery on Children

2016 ◽  
Vol 10 (10) ◽  
pp. 99
Author(s):  
Sara Aghababaei ◽  
Mokhtar Malekpour ◽  
Bagher Kajbaf ◽  
Ahmad Abedi
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Gifted Children ◽  
Fit Indices ◽  
Aurora A ◽  
Confirmatory Factor ◽  
Valid Instrument ◽  
Successful Intelligence ◽  
Iranian Children ◽  
Further Development

The aim of this research is confirmatory factor analysis of Aurora-a Battery on Iranian children. Aurora-a Battery is a cognitive assessment according to Robert J. Sternberg’s theory of Successful Intelligence. 400 children 9-12 years old were selected through multi-steps sampling method and were tested with Aurora-a test. These children were from geographically diverse schools in Isfahan city, Iran. The factor analysis of data was performed through Amos software. Fit indices show that data fit with model. Moreover, the correlation between test total score and the analytical, creative and practical intelligences were 0.91, 0.94 and 0.84, respectively. Alpha for Aurora’s total score was equal to 0.92 as well. Aurora-a test can be an appropriate and valid instrument for identification gifted children aged 9-12 according to Sternberg’s theory of successful intelligence. This test allows many children to be identified as gifted which in turn provides the opportunity of further development of their potential.

Forecast and Development Prospects of the Russian Mortgage Market

2021 ◽  
Vol 9 (4) ◽  
pp. 57-66
Author(s):  
D. Stepanova ◽  
D. Mironova
Keyword(s):  
Factor Analysis ◽  
Interest Rates ◽  
Market Analysis ◽  
Mortgage Market ◽  
Mortgage Loans ◽  
Current State ◽  
Federal Districts ◽  
Further Development ◽  
Development Prospects ◽  
Credit Institutions

The study discusses the current state of the mortgage market in Russia, identifies its main trends and trends of further development based on the results of market analysis for 2018-2020. The dynamics of the volume of issued housing mortgage loans in Russia as a whole and in the context of federal districts, the dynamics of interest rates for various types of mortgages are presented, the trend of reduction of credit institutions providing mortgage loans is analyzed, and the rating of Russian banks in terms of the volume of mortgage loans is presented. A factor analysis of the volume dynamics of housing mortgage loans is carried out, and the preconditions for the growth of the Russian mortgage market are identified.

DEVELOPMENT OF A SCALE TO MEASURE PSYCHOSOCIAL REACTION ASSOCIATED WITH THE APPROACHABILITY OF FAMILY PRACTICE CONSULTATIONS

1995 ◽  
Vol 23 (4) ◽  
pp. 327-334 ◽  
Author(s):  
Paul M.W. Hackett ◽  
Lionel D. Jacobson
Keyword(s):  
Factor Analysis ◽  
Reliability Analysis ◽  
Family Practice ◽  
Family Doctor ◽  
Item Questionnaire ◽  
The Family ◽  
Further Development ◽  
Significant Factors

The paper reports the development of a 17 item questionnaire to measure the approachability of family practice consultations. Approachability is selectively taken to be a function of the ability to make an appointment and as a perception of whether the family doctor is open and approachable. One hundred and six users of family practice services, were approached on an opportunity basis and completed the questionnaire. Factor analysis and reliability analysis demonstrated the instrument to be structured by three significant factors. The factors were labelled ‘the doctor’, ‘the consultation environment’ and ‘emotions’. The questionnaire is subject to further development to allow its wider use to gauge the effects of individual consultations on patients.

Learning from observation, feedback, and intervention in linear and non-linear task environments

2018 ◽  
Vol 71 (2) ◽  
pp. 545-561 ◽  
Author(s):  
Maria P. Henriksson ◽  
Tommy Enkvist
Keyword(s):  
Intervention Training ◽  
Feedback Training ◽  
Successful Strategy ◽  
Training Mode ◽  
Non Linear ◽  
Judgment Study ◽  
Adaptive Cognition ◽  
Task Structures ◽  
Judgment Strategy ◽  
Task Environments

This multiple-cue judgment study investigates whether we can manipulate the judgment strategy and increase accuracy in linear and non-linear cue–criterion environments just by changing the training mode. Three experiments show that accuracy in simple linear additive task environments are improved with feedback training and intervention training, while accuracy in complex multiplicative tasks are improved with observational training. The observed interaction effect suggests that the training mode invites different strategies that are adjusted as a function of experience to the demands from the underlying cue–criterion structure. Thus, feedback and the intervention training modes invite cue abstraction, an effortful but successful strategy in combination with simple linear task structures, and observational training invites exemplar memory processes, a simple but successful strategy in combination with complex non-linear task structures. The study discusses adaptive cognition and the implication of the different training modes across a life span and for clinical populations.

SELF-PRESENTATION IN SPORT: INITIAL DEVELOPMENT OF A SCALE FOR MEASURING ATHLETES' COMPETITIVE SELF-PRESENTATION CONCERNS

1999 ◽  
Vol 27 (5) ◽  
pp. 487-502 ◽  
Author(s):  
Matthew Williams ◽  
Joanne Hudson ◽  
Romy J. Lawson
Keyword(s):  
Factor Analysis ◽  
Convergent Validity ◽  
Temporal Stability ◽  
Competitive Sport ◽  
Self Presentation ◽  
Initial Development ◽  
Current Form ◽  
Competitive Anxiety ◽  
Confirmatory Factor ◽  
Further Development

Self-Presentation theory explains some of the underpinnings of anxiety/stress in competitive sport (Leary, 1992). James and Collins (1997) revealed that Competitive Self-Presentation Concerns (CSPC) are implicated in some competitive anxiety/stress experienced by athletes. Measures are therefore needed to assess athletes' CSPC. This study's aim was to develop such a tool. Four subscales were proposed and were supported by a confirmatory factor analysis (GFI = 0.92). These were as follows: concern over the impression made on others; fear of appearing incompetent; concern over current form, and fear of appearing unable to cope with pressure. The scale's temporal stability and internal consistency were acceptable – but limited convergent validity was demonstrated. Recommendations are made for the scale's application and further development.

scholarly journals METHODOLOGY OF THE ANALYTICAL MODELING AND FACTOR ANALYSIS OF THE PRODUCTION EQUIPMENT PRODUCTIVITY

2020 ◽  
Vol 5 (158) ◽  
pp. 96-102
Author(s):  
V. Kostyuk
Keyword(s):  
Factor Analysis ◽  
Analytical Modeling ◽  
Production Equipment ◽  
Method Factor ◽  
Equipment Unit ◽  
Unit Productivity ◽  
The Moment ◽  
Multiplicative Models ◽  
The Given ◽  
Further Development

The article deals with the methodology of modeling and factor analysis of a production equipment unit productivity. It is emphasized that the productivity is an important generalizing indicator, that reflects the efficiency of the production equipment use. The final results of any enterprise’s activity directly depend on its absolute value and growth rates. The change of this indicator is influenced by various factors, that characterize the availability, structure and use of the production equipment in terms of time and capacity. In this regard, the factor analysis of the given indicator, i.e. the study of the influence of any individual factors on its change, has a relevant importance. The article emphasizes that the mathematical modeling of this indicator is an important way of solving any economic and statistical tasks, in particular, of studying the influence of the most important factors on the change in the productivity of a production equipment unit. The calculation of the quantitative influence of the mentioned factors on the change in the productivity of a production equipment unit is proposed to be carried out on the basis of the chain substitutions method. In the process of modeling of the factor systems of this indicator it is proposed to implement a phased factor analysis of a production equipment unit productivity, i.e. to consistently decompose the value of this index into a number of its initial indicators, which depending on the goals and objectives of the enterprise, gives the possibility to calculate the influence of those factors, that are the most significant and relevant at the moment. The methodology of the analytical modeling and factor analysis of production equipment productivity, given in the article, allows to present this indicator in the form of some deterministic multiplicative models, to determine the influence of the most important factors on its change, to investigate the regularities of such an influence, to justify the appropriate management decisions regarding the further development of the enterprise. Keywords: methodology, modeling, productivity, method, factor.

scholarly journals Evaluasi Knowledge Management System di Kompas Gramedia Menggunakan Analisis Faktor

2013 ◽  
Vol 4 (1) ◽  
pp. 151
Author(s):  
Desi Maya Kristin ◽  
Wahyu Sardjono
Keyword(s):  
Factor Analysis ◽  
Knowledge Management ◽  
Data Processing ◽  
Management System ◽  
User Participation ◽  
Knowledge Management System ◽  
Perfect Score ◽  
Current State ◽  
Further Development

Evaluation of Knowledge Management System (KMS) is performed to determine the state of KM Portal and provide suggestions to improve the benefits and usability for employee and the company. The evaluation analysis of KMS uses factor analysis to determine the factors that influence user awareness in using KM Portal of Kompas Gramedia. The analysis shows three factors: the quality of KM Portal and user support; user participation; processes and procedures. All factors produced a model that can be used for the control of KM Portal. In accordance with the data processing, the current state of KM Portal is enough. This situation has not yet met the standards that company desires so the company needs further development to obtain a perfect score. 

The Development and Psychometric Analysis of the Women’s Experience in Childbirth Survey

2016 ◽  
Vol 24 (2) ◽  
pp. 268-280 ◽  
Author(s):  
Elizabeth Viens Rini
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Temporal Stability ◽  
Reliability And Validity ◽  
Postpartum Women ◽  
Cross Sectional ◽  
Childbirth Experience ◽  
Women's Experience ◽  
Cross Sectional Design ◽  
Further Development

Background and Purpose: A woman’s perception of the childbirth experience has not been adequately measured. The purpose of the Women’s Experience in Childbirth Survey (WECS) is to provide a comprehensive measure of the experience for women having a vaginal birth. Methods: A cross-sectional design with 302 postpartum women analyzed the psychometric properties of the WECS. Validity was assessed using exploratory factor analysis and correlation to a self-rating of the overall experience. Results: Exploratory factor analysis identified four subscales consistent with the organizing framework. WECS scores and self-rated experience were significantly correlated r = .51, p < .01. Internal consistency α = .86 and temporal stability (r = .88, p < .001) are adequate. Conclusion: Initial analysis indicates sufficient reliability and validity for further development and testing.

scholarly journals Croatian Defense Industry Competitiveness Cluster: Knowledge Management and Innovation Perspective

2020 ◽  
Vol 11 (1) ◽  
pp. 59-72
Author(s):  
Marina Jurčić ◽  
Sandra Lovrenčić ◽  
Nataša Kurnoga
Keyword(s):  
Factor Analysis ◽  
Knowledge Management ◽  
Knowledge Creation ◽  
Defense Industry ◽  
Industrial Clusters ◽  
Innovation Performance ◽  
Knowledge Dissemination ◽  
Industry Clusters ◽  
Industry Competitiveness ◽  
Further Development

AbstractBackground: Industry clusters and their relationship with the organization’s success, competitive advantage and innovations have been gaining research interest for decades, with the recent focus on defence industry.Objectives: The aim is to investigate how Croatian Defense Industry Competitiveness Cluster (CDICC) fosters the knowledge management and innovation performance of its members.Methods/Approach: Survey has been performed on a portion of CDICC members, and responses have been analysed using the factor analysis and the correlation analysis.Results: The results indicate that CDICC actively contributes to knowledge creation and acquisition, innovation performance and market performance of its members. However, the analysis revealed that knowledge storage and knowledge dissemination are not sufficiently supported by CDICC.Conclusions: The current problems with the various aspects of knowledge management within a cluster provide a direction for overcoming possible obstacles for further development of industrial clusters.

Application of TEM to Deformation, Wear, and Fracture of Ceramics

1974 ◽  
Vol 32 ◽  
pp. 472-473
Author(s):  
B. J. Hockey
Keyword(s):  
Wear Resistance ◽  
High Temperature ◽  
Mechanical Behavior ◽  
Brittle Materials ◽  
High Temperature Strength ◽  
Wide Range ◽  
Corrosive Environments ◽  
Further Development

Ceramics, such as Al2O3 and SiC have numerous current and potential uses in applications where high temperature strength, hardness, and wear resistance are required often in corrosive environments. These materials are, however, highly anisotropic and brittle, so that their mechanical behavior is often unpredictable. The further development of these materials will require a better understanding of the basic mechanisms controlling deformation, wear, and fracture.The purpose of this talk is to describe applications of TEM to the study of the deformation, wear, and fracture of Al2O3. Similar studies are currently being conducted on SiC and the techniques involved should be applicable to a wide range of hard, brittle materials.

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