Design and Psychometrics of the Assessment Instrument for Innovation Capabilities of Medical Sciences Universities Using the Cube Model Approach.

Assessment Innovation Instrument design Psychometrics

Journal

Iranian journal of public health
ISSN: 2251-6085
Titre abrégé: Iran J Public Health
Pays: Iran
ID NLM: 7505531

Informations de publication

Date de publication:
Feb 2020
Historique:
entrez: 29 5 2020
pubmed: 29 5 2020
medline: 29 5 2020
Statut: ppublish

Résumé

To investigate any subject, a scholar needs a suitable instrument to collect the required information with the utmost accuracy and the least amount of error. Therefore, this study aimed at designing and conducting a psychometric analysis of an assessment instrument for innovation capabilities of Medical Sciences Universities using the Cube Model Approach. This study began by searching in questionnaires in the fields of input and process, considering innovation outcomes. Accordingly, a preliminary questionnaire was developed, and in the second stage, to determine the validity of the designed instrument, the face validity, content validity, and construct validity of the instrument were approved, and in the third stage, using Cronbach's alpha, its reliability was assessed. At first 200 phrases were obtained, finally, 25 questions were initially approved in three areas of structure (input), innovation processes, and output. All the phrases were retained in the face validity and content validity carried out quantitatively and qualitatively. Exploratory Factor Analysis was performed on 25 items, and finally the terms were set in six factors. These factors explained 53.19% of the total variance. The rotated factor loading for all questions was obtained more than 0.3, and therefore, no questions were eliminated. Calculation of the Cronbach's alpha coefficient confirmed the high internal consistency of the questionnaire (0.762). This instrument was designed for the first time in the context of Iranian academic culture and seems to be a suitable instrument for the assessment of innovation capabilities, considering its adequate validity and reliability, simplicity, and practicality.

Sections du résumé

BACKGROUND BACKGROUND
To investigate any subject, a scholar needs a suitable instrument to collect the required information with the utmost accuracy and the least amount of error. Therefore, this study aimed at designing and conducting a psychometric analysis of an assessment instrument for innovation capabilities of Medical Sciences Universities using the Cube Model Approach.
METHODS METHODS
This study began by searching in questionnaires in the fields of input and process, considering innovation outcomes. Accordingly, a preliminary questionnaire was developed, and in the second stage, to determine the validity of the designed instrument, the face validity, content validity, and construct validity of the instrument were approved, and in the third stage, using Cronbach's alpha, its reliability was assessed. At first 200 phrases were obtained, finally, 25 questions were initially approved in three areas of structure (input), innovation processes, and output. All the phrases were retained in the face validity and content validity carried out quantitatively and qualitatively.
RESULTS RESULTS
Exploratory Factor Analysis was performed on 25 items, and finally the terms were set in six factors. These factors explained 53.19% of the total variance. The rotated factor loading for all questions was obtained more than 0.3, and therefore, no questions were eliminated. Calculation of the Cronbach's alpha coefficient confirmed the high internal consistency of the questionnaire (0.762).
CONCLUSION CONCLUSIONS
This instrument was designed for the first time in the context of Iranian academic culture and seems to be a suitable instrument for the assessment of innovation capabilities, considering its adequate validity and reliability, simplicity, and practicality.

Identifiants

pubmed: 32461940
pmc: PMC7231711

Types de publication

Journal Article

Langues

eng

Pagination

323-331

Informations de copyright

Copyright © Iranian Public Health Association & Tehran University of Medical Sciences.

Déclaration de conflit d'intérêts

Conflict of interests The authors declare that there is no conflict of interest.

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pubmed: 28567414

Auteurs

Mashallah Torabi (M)

Health Information Management Research Center, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.

Reza Safdari (R)

Health Information Management Research Center, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.

Saharnaz Nedjat (S)

Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.

Kazem Mohammad (K)

Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.

Maryam Goodarzi (M)

Technology Management Department, Faculty of Management and Economy, Science and Research Branch, Islamic Azad University, Tehran, Iran.

Hossein Dargahi (H)

Health Information Management Research Center, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
Department of Health Care Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.

Classifications MeSH