FACTOR ANALYSIS OF INNOVATIVE ACTIVITY AMONG ORGANIZATIONS

2016 ◽  
pp. 60-67
Author(s):  
N. Avarsky ◽  
M.A. Izmailova ◽  
H. Gasanova ◽  
M.Ya. Veselovsky
Keyword(s):  
Factor Analysis ◽  
Innovative Activity

scholarly journals Assessment of innovation activity in the countries of the world

2020 ◽  
Vol 157 ◽  
pp. 04015 ◽  
Author(s):  
Dmitry Morkovkin ◽  
Dmitry Lopatkin ◽  
Manuchehr Sadriddinov ◽  
Tatiana Shushunova ◽  
Arthur Gibadullin ◽  
...  
Keyword(s):  
Factor Analysis ◽  
National Economy ◽  
Factor Model ◽  
Innovative Activity ◽  
Innovation Activity ◽  
Innovative Development ◽  
Innovative Technologies ◽  
The World ◽  
National Industry ◽  
Sustainable Transition

The purpose of the study is to evaluate innovation activity in the countries of the world. Based on the use of statistical, comparative, systemic and logical methods, an analysis of indicators of innovative activity was carried out, as a result of which it was concluded that Russia lags behind other countries in terms of innovative development. Using methods of economic and factor analysis, a factor model was formed in the work, which included groups of global, national, industry and corporate factors, the management of which will ensure a sustainable transition to innovative technologies of the national economy. In the ending of the study the main conclusions and results of the work are presented.

scholarly journals Contemporary Condition of Innovative Activity in the field of Health Care of the Republic of Kazakhstan

2015 ◽  
Vol 1 (5) ◽  
pp. 221
Author(s):  
Gulbadan Bekembayeva ◽  
Vitalii Koikov ◽  
Aigul Mergentay ◽  
Galia Mussina ◽  
Makar Solodovnikov
Keyword(s):  
Health Care ◽  
Factor Analysis ◽  
Health Care System ◽  
Online Survey ◽  
Clinical Medicine ◽  
Innovative Activity ◽  
Innovation Activity ◽  
National Health Care ◽  
The Republic ◽  
Care System

Context: Under these conditions innovative focus of the national health care system at all levels and new approaches to encourage innovation in medical organizations, taking into account the characteristics of their activities and needs of the population, become the urgent tasksAims: to study the factors constraining the introduction of new medical technologies in the health care system of Kazakhstan, and to find ways of improving innovation activity in Kazakhstan.Settings and Design: The article presents the results of the reasons that restrain the activity of development and implementation of innovation, the types of innovative technologies and their demand in the Republic of Kazakhstan.Methods and Material: online survey of health professionals on innovation in the Republic of KazakhstanStatistical analysis used: statistical analysis using the SPSS 16. In the analysis we have used descriptive statistics, factor analysis, correlation and multivariate analysis of variance.Results: It was found that in the majority of cases (62.4%), innovations were borrowed (imported from abroad), and they have mostly (63.3%) been introduced into clinical medicine by health care practitioners (66.9%), while the lowest percentage of innovative activity in the country (22.8%) was found among the specialists holding scientific and academic degrees, as well as their participation in the research.Conclusions: The factor analysis or principal components analysis suggests that the main reasons for the low innovation activity in the Republic of Kazakhstan is a lack of awareness of experts about the latest achievements of science, lack of trained personnel and insufficient target financing of innovation in health care.

scholarly journals Experience of factor analysis of innovative activity of the region

2019 ◽  
Vol 2019 (3) ◽  
pp. 10-15
Author(s):  
Андрей Богатырёв ◽  
Andrey Bogatyrev ◽  
Оксана Бубнова ◽  
Oksana Bubnova
Keyword(s):  
Mathematical Model ◽  
Factor Analysis ◽  
Innovative Activity ◽  
The Mathematical Model ◽  
Nizhny Novgorod Region ◽  
Reporting Data

On the basis of official statistical reporting data, the factor analysis of in- novation activity indicators in the Nizhny Novgorod region for 2012−2016 was carried out. On the basis of the revealed dependences between indi- cators of innovative activity the mathematical model of forecasting of the considered indicators is offered.

Factor Analysis of Measures of Articulation, Language, Auditory Processing, Reading-Spelling, and Maxillofacial Structure

1977 ◽  
Vol 20 (2) ◽  
pp. 319-324
Author(s):  
Anita F. Johnson ◽  
Ralph L. Shelton ◽  
William B. Arndt ◽  
Montie L. Furr
Keyword(s):  
Factor Analysis ◽  
Clinical Judgment ◽  
Auditory Processing

This study was concerned with the correspondence between the classification of measures by clinical judgment and by factor analysis. Forty-six measures were selected to assess language, auditory processing, reading-spelling, maxillofacial structure, articulation, and other processes. These were applied to 98 misarticulating eight- and nine-year-old children. Factors derived from the analysis corresponded well with categories the measures were selected to represent.

Evidence-based subtypes in functional dyspepsia with confirmatory factor analysis: Psychosocial and physiopathological correlates

2001 ◽  
Vol 120 (5) ◽  
pp. A51-A52 ◽  
Author(s):  
B FISCHLER ◽  
J VANDENBERGHE ◽  
P PERSOONS ◽  
V GUCHT ◽  
D BROEKAERT ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Functional Dyspepsia ◽  
Evidence Based ◽  
Confirmatory Factor

The French Version of the Revised Child Anxiety and Depression Scale (RCADS) in a Nonclinical Sample

2015 ◽  
Vol 74 (3) ◽  
pp. 119-127 ◽  
Author(s):  
Martine Bouvard ◽  
Anne Denis ◽  
Jean-Luc Roulin
Keyword(s):  
Factor Analysis ◽  
Anxiety Disorder ◽  
Confirmatory Factor Analysis ◽  
Generalized Anxiety Disorder ◽  
Child Anxiety ◽  
Depression Scale ◽  
Anxiety And Depression ◽  
Generalized Anxiety ◽  
French Version ◽  
Confirmatory Factor

This article investigates the psychometric properties of the Revised Child Anxiety and Depression Scale (RCADS). A group of 704 adolescents completed the questionnaires in their classrooms. This study examines potential confirmatory factor analysis factor models of the RCADS as well as the relationships between the RCADS and the Screen for Child Anxiety Related Emotional Disorders-Revised (SCARED-R). A subsample of 595 adolescents also completed an anxiety questionnaire (Fear Survey Schedule for Children-Revised, FSSC-R) and a depression questionnaire (Center for Epidemiological Studies Depression Scale, CES-D). Confirmatory factor analysis of the RCADS suggests that the 6-factor model reasonably fits the data. All subscales were positively intercorrelated, with rs varying between .48 (generalized anxiety disorder-major depression disorder) and .65 (generalized anxiety disorder-social phobia/obsessive-compulsive disorder). The RCADS total score and all the RCADS scales were found to have good internal consistency (> .70). The correlations between the RCADS subscales and their SCARED-R counterparts are generally substantial. Convergent validity was found with the FSSC-R and the CES-D. The study included normal adolescents aged 10 to 19. Therefore, the findings cannot be extended to children under 10, nor to a clinical population. Altogether, the French version of the RCADS showed reasonable psychometric properties.

Measuring Impact of Stress in Sandwich Generation Caring for Demented Parents

GeroPsych ◽  
2014 ◽  
Vol 27 (4) ◽  
pp. 171-179 ◽  
Author(s):  
Laurence M. Solberg ◽  
Lauren B. Solberg ◽  
Emily N. Peterson
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Social Worker ◽  
Resource Availability ◽  
Well Being ◽  
Sandwich Generation ◽  
Item Questionnaire ◽  
Significant Difference ◽  
Adult Caregivers ◽  
The Impact

Stress in caregivers may affect the healthcare recipients receive. We examined the impact of stress experienced by 45 adult caregivers of their elderly demented parents. The participants completed a 32-item questionnaire about the impact of experienced stress. The questionnaire also asked about interventions that might help to reduce the impact of stress. After exploratory factor analysis, we reduced the 32-item questionnaire to 13 items. Results indicated that caregivers experienced stress, anxiety, and sadness. Also, emotional, but not financial or professional, well-being was significantly impacted. There was no significant difference between the impact of caregiver stress on members from the sandwich generation and those from the nonsandwich generation. Meeting with a social worker for resource availability was identified most frequently as a potentially helpful intervention for coping with the impact of stress.

The Hierarchical Model of Exercise Dependence

2015 ◽  
Vol 36 (4) ◽  
pp. 247-257 ◽  
Author(s):  
Gayatri Kotbagi ◽  
Laurence Kern ◽  
Lucia Romo ◽  
Ramesh Pathare
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Physical Exercise ◽  
Exploratory Factor Analysis ◽  
Convergent Validity ◽  
Large Population ◽  
Assessment Tools ◽  
Negative Consequences ◽  
Confirmatory Factor ◽  
Preliminary Version

Abstract. Physical exercise when done excessively may have negative consequences on physical and psychological wellbeing. There exist many scales to measure this phenomenon. The purpose of this article is to create a scale measuring the problematic practice of physical exercise (PPPE Scale) by combining two assessment tools already existing in the field of exercise dependency but anchored in different approaches (EDS-R and EDQ). This research consists of three studies carried out on three independent sample populations. The first study (N = 341) tested the construct validity (exploratory factor analysis); the second study (N = 195) tested the structural validity (confirmatory factor analysis) and the third study (N = 104) tested the convergent validity (correlations) of the preliminary version of the PPPE scale. Exploratory factor analysis identified six distinct dimensions associated with exercise dependency. Furthermore, confirmatory factor analysis validated a second order model consisting of 25 items with six dimensions and four sub-dimensions. The convergent validity of this scale with other constructs (GLTEQ, EAT26, and The Big Five Inventory [BFI]) is satisfactory. The preliminary version of the PPPE must be administered to a large population to refine its psychometric properties and develop scoring norms.

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