scholarly journals The Household Risk Perception instrument and the Self-Efficacy in Environmental Risk Reduction instrument: psychometric testing using principal component analysis

2013 ◽  
Vol 69 (9) ◽  
pp. 2107-2115 ◽  
Author(s):  
Gail Oneal ◽  
Tamara Odom-Maryon ◽  
Julie Postma ◽  
Wade Hill ◽  
Patricia Butterfield
Keyword(s):  
Principal Component Analysis ◽  
Risk Perception ◽  
Risk Reduction ◽  
Environmental Risk ◽  
Self Efficacy ◽  
Psychometric Testing ◽  
Principal Component ◽  
Component Analysis ◽  
The Self

Refinement and Psychometric Properties of the Self-Efficacy for Sleep Hygiene Inventory

2020 ◽  
pp. 019394592094097
Author(s):  
Christine S. Gipson ◽  
Jenifer M. Chilton ◽  
Eric Stocks
Keyword(s):  
Young Adults ◽  
Focus Groups ◽  
Self Efficacy ◽  
Psychometric Testing ◽  
Principal Component ◽  
Sleep Hygiene ◽  
Total Sample ◽  
The Self ◽  
Reliable Measure ◽  
Electronic Survey

The purpose of this study was to determine key concepts of self-efficacy for sleep hygiene among young adults/college students and sleep experts, and to refine the Self-Efficacy for Sleep Hygiene Inventory. The Self-Efficacy for Sleep Hygiene Inventory was revised using input from young adult focus groups and experts. Information from focus groups informed instrument revision. The revised instrument was distributed using an electronic survey to young adults age 18–26 years for a total sample of 296. A principal component analysis with Varimax Orthogonal Rotation was conducted resulting in a three-factor solution. Cronbach’s alphas were: .85 for Behaviors to Adopt (nine items), .79 for Manage Mindset and Environment (eight items), .70 for Behaviors to Avoid (eight items), and .88 for the inventory (twenty-five items). Initial psychometric testing of the Self-Efficacy for Sleep Hygiene Inventory-Revised indicates that it is a reliable measure of self-efficacy for sleep hygiene in young adults age 18–26 years.

scholarly journals Adoption of E-commerce in Bangladesh: Probit Regression and Principal Component Analysis Approach

2021 ◽  
pp. 1-13
Keyword(s):  
Principal Component Analysis ◽  
Risk Perception ◽  
Market Orientation ◽  
Principal Component ◽  
Component Analysis ◽  
Ease Of Use ◽  
Accurate Information ◽  
Probit Regression ◽  
Study Results ◽  
Number Of Customers

Web based services have turned into an integral part of peoples’ life. Ease of use and several advantages lead to the popularity of adopting electronic commerce (e-commerce). Though a big number of customers visit and register on the commerce sites daily, the selling rate is low for lack of trust and loyalty. Trust is the main connector of companies and customers. Loyal customers are the important assets for the companies. This study aims at identifying the factors that are associated with the trust and risk perception of the customers on e-commerce. A primary dataset is collected on this occasion. Likert scale type questionnaire is involved in the questionnaire and data reliability is checked through Cronbach's alpha. Probit regression and principal component analysis are used as statistical analysis. The study finds the variables age, internet using purpose, market orientation, and technology as significantly related to trustworthiness of the customers on e-commerce, while the variables experienced using the internet, internet using purpose, and market orientation are potential determinants of risk perception. The study results suggest the e-commerce companies emphasize technologies for keeping accurate information, performing the outmost of the customers’ benefit, and collecting customers’ information. In addition, they should be conscious of the customers’ opinion and pleasant experience, along with maintaining the mentioned delivery time.

Adapting and Testing the Self-Efficacy in Environmental Risk Reduction Instrument Among Spanish-Speaking Populations

2021 ◽  
pp. JNM-D-19-00112
Author(s):  
Julie Marie Postma ◽  
Gail Oneal ◽  
Tamara Odom-Maryon ◽  
Celestina Barbosa-Leiker ◽  
Tara Marko ◽  
...  
Keyword(s):  
Risk Reduction ◽  
Environmental Risk ◽  
Self Efficacy ◽  
Factor Model ◽  
Survey Design ◽  
Likelihood Estimation ◽  
The Self ◽  
Health Clinic ◽  
Spanish Speaking ◽  
Latent Construct

PurposeThe purpose of this study was to adapt and test the Self-Efficacy in Environmental Risk Reduction instrument in a Spanish-speaking population.MethodsHarkness' model of cross-cultural survey design was used to adapt the instrument. We sampled 95 adult, Spanish speakers from a federally qualified health clinic. Exploratory factor analysis with maximum likelihood estimation was used to analyze the factor structure.ResultsA 1-factor model provided the best fit to the data. The latent construct of the instrument is household environmental health self-efficacy. All items loaded higher than 0.610, indicating each item explains at least 36% variance in the latent construct. Cronbach's alpha indicates the scale has high internal consistency (α = .92).ConclusionsRespondents conceptualize self-Efficacy in Environmental Risk Reduction as practical solutions to minimize household risks.

scholarly journals Principal Component Analysis to Determine the Surface Properties That Influence the Self-Cleaning Action of Hydrophobic Plant Leaves

Langmuir ◽  
2021 ◽  
Author(s):  
Fabien Saubade ◽  
Lisa I. Pilkington ◽  
Christopher M. Liauw ◽  
Luciana C. Gomes ◽  
Jake McClements ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Surface Properties ◽  
Principal Component ◽  
Component Analysis ◽  
The Self ◽  
Plant Leaves ◽  
Self Cleaning

Construct Validity of the Self-Directed Learning Readiness Scale

1979 ◽  
Vol 3 (2) ◽  
pp. 93-104 ◽  
Author(s):  
Salah A. Mourad ◽  
E. Paul Torrance
Keyword(s):  
Principal Component Analysis ◽  
Internal Control ◽  
Rating Scale ◽  
Gifted Students ◽  
Principal Component ◽  
Component Analysis ◽  
The Self ◽  
Self Directed Learning ◽  
Learning Readiness ◽  
Directed Learning

The Self-Directed Learning Readiness Scale (SDLRS) was administered to 684 gifted students randomly selected from 1500 students enrolled in the Future Problem Solving for Gifted/Talented students. Teachers rated 569 gifted students on a Teacher Rating Scale (TRS) for students' abilities, skills, and motivations required for self directed learning. A principal component analysis of the SDLRS resulted in eight factors. These factors were labeled: attitude toward and joy of learning; self-confidence in abilities and skills for learning; complexity, adventure, and independence in learning; attraction to new and unusual situations; internal control; self-understanding; and responsibility for own learning. Another principal component analysis for the TRS resulted in one factor. The TRS total scores were correlated with the estimated eight SDLRS scores (using unit weights). Significant relationships were found between TRS scores and the first seven and total SDLRS scores. These results give some support for the validity of the SDLRS.

“Would You Rather Jump Out of a Perfectly Good Airplane or Develop Cardiovascular Disease?” Validity and Reliability of the Cardiovascular Risk Perception Survey Among Military Personnel

2020 ◽  
Vol 29 (1) ◽  
pp. E1-E17
Author(s):  
Kathy Prue-Owens ◽  
Helen Graham ◽  
Mythreyi Ramesh
Keyword(s):  
Cardiovascular Disease ◽  
Principal Component Analysis ◽  
Cardiovascular Risk ◽  
Risk Perception ◽  
Construct Validity ◽  
Internal Consistency ◽  
Principal Component ◽  
Internal Consistency Reliability ◽  
Component Analysis ◽  
Perception Survey

Background and PurposeCardiovascular disease (CVD) is a major cause of death in the United States. The military are viewed as fit, ready to fight and that jumping out of perfectly good airplane or going to war is a greater risk than CVD. The purpose of this study was to determine reliability and validity of the Cardiovascular Risk Perception Survey (CRPS).MethodsA cross-sectional descriptive design was performed, supported by the Health Belief Model. Internal consistency reliability (Cronbach's alpha) and validity (principal component analysis) were examined.ResultsFifty-five participants were included in this study. Construct validity of the CRPS was supported by principal component analysis; indicating one scale that measured cardiovascular risk perception. The Cronbach's alpha is reported .865.ConclusionInitial psychometric testing of the CRPS provides evidence for construct validity and internal consistency reliability.

The Influence Function of Principal Component Analysis by Self-Organizing Rule

1998 ◽  
Vol 10 (6) ◽  
pp. 1435-1444 ◽  
Author(s):  
Isao Higuchi ◽  
Shinto Eguchi
Keyword(s):  
Neural Network ◽  
Principal Component Analysis ◽  
Influence Function ◽  
Principal Component ◽  
Component Analysis ◽  
The Self ◽  
Network Approach ◽  
Neural Network Approach ◽  
Principal Component Vector ◽  
Self Organizing

This article is concerned with a neural network approach to principal component analysis (PCA). An algorithm for PCA by the self-organizing rule has been proposed and its robustness observed through the simulation study by Xu and Yuille (1995). In this article, the robustness of the algorithm against outliers is investigated by using the theory of influence function. The influence function of the principal component vector is given in an explicit form. Through this expression, the method is shown to be robust against any directions orthogonal to the principal component vector. In addition, a statistic generated by the self-organizing rule is proposed to assess the influence of data in PCA.

scholarly journals Assessment of environmental risk from polluted organic wastewater in Long Thanh Industrial Park with the Nemerow index and Principal component Analysis

2021 ◽  
pp. 128-138
Keyword(s):  
Principal Component Analysis ◽  
High Risk ◽  
Environmental Risk ◽  
Principal Component ◽  
Component Analysis ◽  
The Other ◽  
Industrial Park ◽  
Other Hand ◽  
Industrial Parks ◽  
Pca Method

This study aims to assess environmental risk using the improved Nemerow index and the principal component analysis (PCA) method in Long Thanh's Industrial Park in Dong Nai Province. The study was implemented in five industrial parks of Long Thanh District in 2019. The result showed that Loc An - Binh Son industrial park was at extreme high risk of the level (6.7). Three industrial parks of Long Thanh, Go Dau and An Phuoc were high-risk (from 3 to 5) respectively. On the other hand, Long Duc Industrial Park has obtained no environmental risk.

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