scholarly journals Chemical Safety in Academic Laboratories: An Exploratory Factor Analysis of Safe Work Practices & Facilities in a University

2016 ◽  
Vol 2 (1) ◽  
pp. 1 ◽  
Author(s):  
Mohsin Abbas ◽  
Adel M. Zakaria ◽  
Mansour A. Balkhyour ◽  
Muhammad Kashif
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Safety Management ◽  
Work Practices ◽  
Laboratory Safety ◽  
Fume Hood ◽  
Chemical Safety ◽  
Five Factors ◽  
Safe Work ◽  
Class 1

<p class="1"><span lang="EN-US">Academic laboratories considered as more hazardous than industry due to relaxed approach of academic management for chemical safety. This study designed to analyze the safe work practices and facilities by Exploratory Factor Analysis (EFA) using Varimax rotation. A designed checklist of 26 safety items administered personally in 68 academic laboratories in a Saudi university. From EFA, five factors were extracted: “Availability of laboratory safety documents (5 items, α = 0.92)”, “Maintenance of fume hood (2 items, α = 0.75)”, “Proper chemical storage (3 items, α = 0.64)”, “Proper use of fume hood for chemical handling (4 items, α = 0.62)” and “Laboratory safety labelling (2 items, α = 0.73)”. The results revealed the 5 factors model that grouped 16 safety items that may be crucial for chemical storage, fume hood, laboratory safety plans and labels in the academic laboratories. The extracted factors derived from EFA are expected to help in the development of chemical safety management in the academic laboratories. </span></p>

scholarly journals Metacognitive Rating Scale: A Study Applying a Korean Translation to Individuals with Schizophrenia

2021 ◽  
Vol 18 (13) ◽  
pp. 6853
Author(s):  
Mihwa Han ◽  
Kyunghee Lee ◽  
Mijung Kim ◽  
Youngjin Heo ◽  
Hyunseok Choi
Keyword(s):  
Principal Component Analysis ◽  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Mental Status ◽  
Rating Scale ◽  
Anger Expression ◽  
Principal Component ◽  
Negative Beliefs ◽  
Five Factors ◽  
Metacognitive Beliefs

Metacognition is a higher-level cognition of identifying one’s own mental status, beliefs, and intentions. This research comprised a survey of 184 people with schizophrenia to verify the reliability of the metacognitive rating scale (MCRS) with the revised and supplemented metacognitions questionnaire (MCQ) to measure the dysfunctional metacognitive beliefs of people with schizophrenia by adding the concepts of anger and anxiety. This study analyzed the data using principal component analysis and the varimax method for exploratory factor analysis. To examine the reliability of the extracted factors, Cronbach’s α was used. According to the results, reliability was ensured for five factors: positive beliefs about worry, negative beliefs about uncontrollability and danger of worry, cognitive confidence, need for control, and cognitive self-consciousness. The negative beliefs about uncontrollability and danger of worry and the need for control on anger expression, which were both added in this research, exhibited the highest correlation (r = 0.727). The results suggest that the MCRS is a reliable tool to measure the metacognition of people with schizophrenia.

scholarly journals Patients’ views on the implementation of artificial intelligence in radiology: development and validation of a standardized questionnaire

2019 ◽  
Vol 30 (2) ◽  
pp. 1033-1040 ◽  
Author(s):  
Yfke P. Ongena ◽  
Marieke Haan ◽  
Derya Yakar ◽  
Thomas C. Kwee
Keyword(s):  
Artificial Intelligence ◽  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Internal Consistency ◽  
Latent Variables ◽  
Procedural Knowledge ◽  
Patient Questionnaire ◽  
Successful Implementation ◽  
Personal Interaction ◽  
Five Factors

Abstract Objectives The patients’ view on the implementation of artificial intelligence (AI) in radiology is still mainly unexplored territory. The aim of this article is to develop and validate a standardized patient questionnaire on the implementation of AI in radiology. Methods Six domains derived from a previous qualitative study were used to develop a questionnaire, and cognitive interviews were used as pretest method. One hundred fifty-five patients scheduled for CT, MRI, and/or conventional radiography filled out the questionnaire. To find underlying latent variables, we used exploratory factor analysis with principal axis factoring and oblique promax rotation. Internal consistency of the factors was measured with Cronbach’s alpha and composite reliability. Results The exploratory factor analysis revealed five factors on AI in radiology: (1) distrust and accountability (overall, patients were moderately negative on this subject), (2) procedural knowledge (patients generally indicated the need for their active engagement), (3) personal interaction (overall, patients preferred personal interaction), (4) efficiency (overall, patients were ambiguous on this subject), and (5) being informed (overall, scores on these items were not outspoken within this factor). Internal consistency was good for three factors (1, 2, and 3), and acceptable for two (4 and 5). Conclusions This study yielded a viable questionnaire to measure acceptance among patients of the implementation of AI in radiology. Additional data collection with confirmatory factor analysis may provide further refinement of the scale. Key Points • Although AI systems are increasingly developed, not much is known about patients’ views on AI in radiology. • Since it is important that newly developed questionnaires are adequately tested and validated, we did so for a questionnaire measuring patients’ views on AI in radiology, revealing five factors. • Successful implementation of AI in radiology requires assessment of social factors such as subjective norms towards the technology.

scholarly journals EXPLORATORY FACTOR ANALYSIS OF SAFETY MANAGEMENT COMMITMENT AND SAFETY ADMINISTRATION IN THE CONTEXT CONSTRUCTION INDUSTRIES

2020 ◽  
Vol 3 (1) ◽  
pp. 132-140
Author(s):  
Nik Fadhilah Nik Him ◽  
Noor Aina Amirah ◽  
Azmi Hassan
Keyword(s):  
Factor Analysis ◽  
Construction Industry ◽  
Exploratory Factor Analysis ◽  
Occupational Safety ◽  
Safety Management ◽  
Health Management ◽  
Simple Random Sampling ◽  
Internal Reliability ◽  
Management Commitment ◽  
Safety Attitude

Exploratory Factor Analysis (EFA) was carried out to develop appropriate questionnaire items as research instruments. This study has developed and certified the instruments of safety management commitment and safety administration through the EFA study. It is applied in the context of occupational safety and health management (OSH) of construction industry. This study was divided into two constructs namely Safety Management Commitment (SMC) and Safety Administration (SA) to measure safety attitude. Safety administration construct was measured by safety programs and safety monitoring. Whereas, safety management commitment construct was measured by safety planning and safety management. This study was conducted to evaluate the contractor’s safety management attitude to the safety culture at the construction site. About 100 respondents were selected through simple random sampling to fill out the survey. Based on the reliability test, this study has set an instrument consist of eight items to develop two components for the construct of safety management commitment. While, for the construct of safety administration consist of six items for two components. This setting is based on the internal reliability value (Alpha Cronbach) for measurement of the instrument. The procedure is described in detail to carry out an EFA analysis to develop the instrument’s construct of SMC and SA. For the future, researchers can develop a study by applying instruments thoroughly in various fields of research. Keywords: Safety management commitment, safety administration, occupational safety, construction industry

scholarly journals Nurse Professionalism Scale: Development and Psychometric Evaluation

2020 ◽  
Author(s):  
Ana Vaz De Braganca ◽  
R. Nirmala
Keyword(s):  
Factor Analysis ◽  
Registered Nurses ◽  
Psychometric Properties ◽  
Exploratory Factor Analysis ◽  
Factor Loading ◽  
Multisource Feedback ◽  
Self Report ◽  
Professional Conduct ◽  
Five Factors ◽  
Code Of Professional Conduct

Abstract Background Professionalism is a key trait connecting the nurse and patient, and Code of Professional Conduct, a professional legitimacy in considering nursing as a profession and an essential tool that facilitates nurse practice. This study aims to develop Nurse Professionalism Scale using the Code of Professional Conduct for Nurses in India and test the psychometric properties. Methods A sample of 1054 registered nurses working in various work areas at different levels and sectors of health care was selected using stratified random sampling. Data were collected through self-report from registered nurses and multi-source feedback from their supervisors and colleagues. A total of 830 self-reported data sets, 687 supervisor and 747 colleague responses were received. Following data cleaning, complete sets of 644 self-supervisor-colleague responses were used for analysis using exploratory factor analysis in SPSS version 25 and confirmatory factor analysis in AMOS 22. Results Reliability estimate for internal consistency of the 38 item scale was .910 (self report), .951 (supervisor feedback) and .952 (colleague feedback). Exploratory factor analysis using self-reports extracted five factors with 22 items at Eigen values > 1. Items with communalities ≥ .4 and factor loadings ≥ .5 were retained. Five factors explained total cumulative variance extracted at 51 percent and KMO value of .893 indicated sample adequacy. Bartlett Test of Sphericity was significant (χ2 = 3318, df = 231, p < .000). The factors are labelled with reference to the original code and higher factor loading. CFA using supervisors feedback (CMIN/DF = 2.938; GFI = .926, TLI = .927; CFI = .939 and RMSEA = .055) and colleagues feedback (CMIN/DF = 3.165; GFI = .921, TLI = .908; CFI = .923 and RMSEA = .058) yielded acceptable model fit indices confirming the psychometric properties. Conclusions The scale can be used as a tool to evaluate professionalism among nurses across different settings. Multisource feedback from stakeholders can also be considered as an effective method of gathering data on this construct.

scholarly journals 545 - Exploratory factor analysis of the Rowland Universal Dementia Assessment Scale.

2021 ◽  
Vol 33 (S1) ◽  
pp. 87-88
Author(s):  
J. Antonio Garcia-Casal ◽  
Natacha Coelho de Cunha Guimarães ◽  
Sofía Díaz Mosquera ◽  
María Alvarez Ariza ◽  
Raimundo Mateos Álvarez
Keyword(s):  
Factor Analysis ◽  
Construct Validity ◽  
Exploratory Factor Analysis ◽  
Internal Consistency ◽  
Principal Components ◽  
Principal Component ◽  
Assessment Scale ◽  
Cognitive Test ◽  
Five Factors ◽  
Bartlett’S Test

Background:Rowland Universal Dementia Assessment Scale (RUDAS) is a brief cognitive test, appropriate for people with minimum completed level of education and sensitive to multicultural contexts. It could be a good instrument for cognitive impairment (CI) screening in Primary Health Care (PHC). It comprises the following areas: recent memory, body orientation, praxis, executive functions and language.Research Objective:The objective of this study is to assess the construct validity of RUDAS analysing its internal consistency and factorial structure.Method:Internal consistency will be calculated using ordinal Cronbach’s α, which reflects the average inter-item correlation score and, as such, will increase when correlations between the items increase. Exploratory Factor Analysis will be used to arrange the variables in domains using principal components extraction. The factorial analysis will include the extraction of five factors reflecting the neuropsychological areas assessed by the test. The result will be rotated under Varimax procedure to ease interpretation.Exploratory factor analysis will be used to arrange the variables in domains using principal components extraction. The analysis will include Kaiser–Meyer–Olkin measure of sampling adequacy and Bartlett’s test of sphericity. Estimations will be based based on Pearson’s correlations between indicators using a principal component analysis and later replicated with a tetrachoric correlation matrix. The variance in the tetrachoric model will be analysed to indentify convergent iterations and their explicative power.Preliminary results of the ongoing study:RUDAS is being administered to 321 participants older than 65 years, from seven PHC physicians’ consultations in O Grove Health Center. The data collection will be finished by August 2021 and in this poster we will present the final results of the exploratory factor analysis.Conclusions:We expect that the results of the exploratory factor analysis will replicate the results of previous studies of construct validity of the test in which explanatory factor weights were between 0.57 and 0.82, and all were above 40%. Confirming that RUDAS has a strong factor construct with high factor weights and variance ratio, and 6-item model is appropriate for measurement will support its recommendation as a valid screening instrument for PHC.

scholarly journals FAKTOR-FAKTOR YANG MEMENGARUHI KEPUTUSAN KONSUMEN MELAKUKAN PEMBELIAN MAKANAN MELALUI MEDIA SOSIAL

2017 ◽  
Vol 13 (2) ◽  
Author(s):  
Aylinna Ongsano ◽  
Michael Ricky Sondak
Keyword(s):  
Social Media ◽  
Factor Analysis ◽  
Data Collection ◽  
Exploratory Factor Analysis ◽  
Dominant Factor ◽  
Distribution Method ◽  
Internet Users ◽  
Five Factors ◽  
Eigen Value ◽  
Online Business

<p>Sophistication of technology is now increasingly, people becomes easier to access any information just by using internet. This evolution is called globalization. Now globalization makes Indonesian people tend to likes instant and practical things. Internet users in Indonesia is now increasing and most are social media active users. This makes Indonesia have a good prospects to do online business. The purpose of this study is to find out the factors that influence consumer’s decision for purchase online food and to determine the most dominant factor in consumer’s decision for purchasing online food. Population in this research is all Indonesia people who already experienced online transaction. Meanwhile, sample of this research is 73 consumers who have already purchased online food. Moreover, the technique of data collection in this study is through questionnaires distribution method and the questionnaires is using Likert scale instrument. Furthermore, the researcher process the data using SPSS with Exploratory Factor Analysis to obtain significant conclusions based on these research. Based on the hypothesis that has been calculated using the SPSS, the results are there are five factors that influence consumer’s decision for purchasing food through social media and the most dominant factor is life style, because it has the most high eigen value.<br />Keywords: Globalization, Social Media, Online Business, Exploratory Factor Analysis</p>

Measuring health literate discharge practices

2017 ◽  
Vol 30 (1) ◽  
pp. 67-78 ◽  
Author(s):  
Jennifer Innis ◽  
Jan Barnsley ◽  
Whitney Berta ◽  
Imtiaz Daniel
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Care Transitions ◽  
Psychometric Testing ◽  
Participation Rate ◽  
Improve Patient Care ◽  
Content Type ◽  
Survey Tool ◽  
Organizational Survey ◽  
Five Factors

Purpose Health literate discharge practices meet patient and family health literacy needs in preparation for care transitions from hospital to home. The purpose of this paper is to measure health literate discharge practices in Ontario hospitals using a new organizational survey questionnaire tool and to perform psychometric testing of this new survey. Design/methodology/approach This survey was administered to hospitals in Ontario, Canada. Exploratory factor analysis and reliability testing were performed. Findings The participation rate of hospitals was 46 percent. Exploratory factor analysis demonstrated that there were five factors. The survey, and each of the five factors, had moderate to high levels of reliability. Research limitations/implications There is a need to expand the focus of further research to examine the experiences of patients and families. Repeating this study with a larger sample would facilitate further survey development. Practical implications Measuring health literate discharge practices with an organizational survey will help hospital managers to understand their performance and will help direct quality improvement efforts to improve patient care at hospital discharge and to decrease hospital readmission. Originality/value There has been little research into how patients are discharged from hospital. This study is the first to use an organizational survey tool to measure health literate discharge practices.

Human rights in social work. Validation of instruments for measuring the level of involvement and exposure of social workers to human rights. Adaptation of Human Rights Engagement in Social Work and Human Rights Exposure in Social Work scales in Poland

2021 ◽  
Vol 35 (6) ◽  
pp. 78-98
Author(s):  
Marcin Boryczko
Keyword(s):  
Human Rights ◽  
Factor Analysis ◽  
Social Work ◽  
Social Workers ◽  
Exploratory Factor Analysis ◽  
Social Work Students ◽  
Validity And Reliability ◽  
Level Of Involvement ◽  
Five Factors ◽  
High Level

The article aims to present the results of research on the use of standardised tools that measure the level of commitment and exposure to human rights of social workers and social work students. The research was based on the adaptation procedure of two separate scales – Human Rights Engagement in Social Work and Human Rights Exposure in Social Work – to Polish cultural background and linguistic environment. The first part discusses issues related to the importance of human rights in social work, up-to-date status human rights-based social work perspective and a literature review in this area. The research part presents the procedure and discusses the results of theoretical validity and reliability tests. The Cronbach alpha coefficient was obtained at the level of .877 and .845, which indicates a high level of internal compatibility. It was not possible to determine the nature of the regularities shaping the relationships between the variables, items of the scale In the case of the Human Rights Engagement in Social Work scale the exploratory factor analysis (Varimax rotation) made it possible to identify five factors explaining 51.9% of the variability. In the case of the Scale of Human Rights Engagement in Social Work, the exploratory factor analysis allowed for the identification of five factors explaining 58% of the variance of variables. In the case of Human Rights Exposure in Social Work, factor analysis made it possible to identify three factors explaining 65% of variances. Then, an attempt was made to interpret the results and the perspective of the potential application of scales over theattitudes of social workers and students of social work was presented. Polish versions of the scales were also described. The results of the analysis of the Polish version of the scales indicate that they are reliable and possess theoretical accuracy, thus allow for measuring the level of engagement and exposure to human rights knowledge in the field of social work.

Students' Perceptions of Their Self-Regulatory and other-Directed Study Strategies: A Factor Analysis

2000 ◽  
Vol 86 (1) ◽  
pp. 102-108 ◽  
Author(s):  
M. E. Gredler ◽  
L. S. Garavalia
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Self Efficacy ◽  
Study Strategies ◽  
Orientation Course ◽  
Self Regulated Learning ◽  
External Regulation ◽  
Five Factors ◽  
General Organization ◽  
Promax Rotation

Edited items on the 24-item Self-efficacy for Self-regulated Learning Scale were combined with 7 items on external regulation developed in 1992 by Vermunt. The inventory was administered to 244 entering freshmen enrolled in a university orientation course. 19 students with incomplete responses were excluded from analysis. Exploratory factor analysis with promax rotation indicated the five factors of general organization and planning, external regulation, typical study strategies, environmental restructuring, and recall. Coefficients alpha were .87, .68, .74, .74, and .73, respectively.

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