scholarly journals Toward a model of relationship between the overall and the destination attributes satisfaction

2020 ◽  
Vol 25 (2) ◽  
pp. 67-81
Author(s):  
Ljiljana Najev Čačija ◽  
Davorka Mikulić ◽  
Daša Dragnić
Keyword(s):  
Conceptual Model ◽  
Principal Component ◽  
Final Analysis ◽  
Factor Loading ◽  
Measurement Scales ◽  
Pull Factors ◽  
Tourist Satisfaction ◽  
Rotation Method ◽  
The Impact ◽  
The Town

This study presents a preliminary research towards a conceptual model of relationship between the overall and the destination attributes satisfaction. Precisely, the paper explores and classifies destination pull factors as a precondition to design a conceptual model. Therefore, the first step was to categorise destination attributes into meaningful groups of pull factors that provide greater efficiency in achieving and maintaining a desired perception of destination quality, measured by tourists’ satisfaction. The exploratory factor analysis was conducted on the sample of 289 tourists visiting the town of Split (Croatia). The required prior statistical preconditions were successfully met and the principal component analysis was conducted on 20 items with Varimax rotation method. Based on the results, four pull factors were retained in the final analysis, explaining 54.760% of the variance. In the final categorisation, factor loading was above 0.4 for all four extracted factors, with reliability of measurement scales. Major findings of this study confirm that destination attributes can be grouped in a meaningful way regarding tourist satisfaction and indicate that the extracted pull factors, representing both common and unique destination attributes, have the potential to be generally applicable. The extracted factors are the primary or fundamental offer components; additional/expanded offer components; tertiary or tendency/affinity/preference offer components and specific offer components. Recommendations for further research are given, in order to explore to what extent the tourists’ overall satisfaction is related to their satisfaction with destination attributes, and to expand the model with the impact of other moderating elements.

scholarly journals VALIDITY AND RELIABILITY OF BIOPSYCHOSOCIAL-RELATED MEASUREMENT SCALES AMONG LOW-INCOME MALAYSIAN SMOKER

2021 ◽  
Vol 3 (1) ◽  
pp. 301-314
Keyword(s):  
Factor Analysis ◽  
Low Income ◽  
Urban Poor ◽  
Convergent Validity ◽  
Discriminant Validity ◽  
Principal Component ◽  
Factor Loading ◽  
Nicotine Addiction ◽  
Validity And Reliability ◽  
Measurement Scales

Introduction: Tobacco is the only legal product that kills a large proportion of its consumers when used as intended by its manufacturer. The effect of nicotine as a driving substance on smoking has been established for decades. Still, very little is known on how the biopsychosocial determinants relationship affects levels of nicotine addiction in smokers, especially in the urban low-income population. The study aimed to validate measurement scales related to biopsychosocial factors that will be used in the future study to evaluate biopsychosocial components that influence nicotine addiction among urban poor smokers. Methods: Exploratory factor analysis (EFA) using the principal component analysis with varimax rotation and Kaiser normalization was used to assess the factor structure. Then, the confirmatory factor analysis (CFA) was conducted to assess the unidimensionality, validity, and reliability of the latent construct. Results: EFA showed extraction of factors according to their original scales with all factor loading and communality's values were above 0.5. During CFA, factor loading less than 0.6 was deleted. Convergent validity verified by computing the Average Variance Extracted (AVE) for every construct range between 0.528 – 0.801. The Fitness Indexes achieved the required level (RMSEA=0.05, CFI=0.937, Chisq/df=1.7). Meanwhile, the Discriminant Validity Index range between 0.75-0.89, which is higher than the correlation coefficient value. Internal consistency assessed from Composite Reliability range between 0.714-0.965. Conclusion: The measurement scales are valid and reliable to assess the intended constructs among low-income male smokers in the urban area.

The intervening role of mHealth apps in postpartum obesity and mental health (Preprint)

2019 ◽  
Author(s):  
Che Wan Jasimah Wan Mohamed Radzi ◽  
Hashem Salarzadeh Jenatabadi ◽  
Nadia Samsudin
Keyword(s):  
Mental Health ◽  
Structural Equation ◽  
Final Analysis ◽  
Factor Loading ◽  
Self Management ◽  
Equation Modeling ◽  
Postpartum Women ◽  
One Year ◽  
The Impact ◽  
Mhealth Apps

BACKGROUND The development of mHealth (mobile health) has changed people’s routines of improving self-management. Nonetheless, the effectiveness of the apps depends on the frequency of use. OBJECTIVE This paper introduces a new framework of fitness apps associated with obesity modeling by using structural equation modeling (SEM) and examining data of postpartum women through moderation analysis. Fitness mHealth apps are considered the moderator in the research framework. METHODS Online questionnaires were sent to Malaysian postpartum women within one year after pregnancy and 468 completed questionnaires were returned. The frequency of mHealth fitness app use was categorized into four groups: daily, weekly, rarely and never. Therefore, four models were considered for the final analysis. RESULTS According to the output, every model has a different structure in terms of significance and coefficients. The R-squared obtained for the “daily” model (0.82) is the highest, followed by the “weekly” (0.79), “rarely” (0.66) and “never use” (0.59) models. This infers that 82% of mental health variation is related to the demographics, lifestyle, healthy and unhealthy food intake and BMI of daily fitness app users. In addition, the impact of BMI on mental health in every model is significant with a negative coefficient, which implies that users with high BMI have less mental health issues. Meanwhile, the factor loading analysis indicates that the screen time (0.89) and physical activity (0.81) indicators are the two highest coefficients in the lifestyle variable. This result is subsequently equivalent to the daily and weekly fitness app users who choose to consume more healthy food and thus have a lower BMI. CONCLUSIONS This paper proves that Malaysian postpartum women who use fitness apps as part of their daily life are more disciplined and such applications have significant effects on obesity and mental health. However, for never or weekly users, the statistical analysis shows there is no proof of the effectiveness of self-management activities that affected on obesity and mental health. Therefore, the frequency of fitness app use acts as a moderator in postpartum obesity and mental health modeling.

Grassland use in mountain bovine systems according to a hierarchy of geographical determinants

2011 ◽  
Vol 150 (2) ◽  
pp. 203-217 ◽  
Author(s):  
F. GARCIA-LAUNAY ◽  
C. SIBRA ◽  
H. MOLÉNAT ◽  
C. AGABRIEL ◽  
G. BRUNSCHWIG
Keyword(s):  
Conceptual Model ◽  
Principal Component ◽  
Hierarchical Cluster ◽  
Economic Benefits ◽  
Field Pattern ◽  
Forage Production ◽  
Massif Central ◽  
Farm Model ◽  
The Impact ◽  
Geographical Characteristics

SUMMARYKnowledge of the spatio-temporal management of forage production and grazing in grass-based livestock systems is needed to simulate their functioning and then to propose new cutting and grazing practices that will achieve both environmental and economic benefits. The objectives of the present work were to characterize the types of grassland use in mountain bovine systems and relate them to field geographical characteristics to produce a conceptual model of grassland use. This model can be incorporated into a whole beef and/or dairy farm simulator of the impact of practice changes on environmental and productive performances. For this purpose, a survey of 72 farms was conducted in the traditional Salers system in the Massif Central (France). Information was gathered on geographical characteristics and cutting and/or grazing practices on three general groups of fields: cut only, cut and grazed, and grazed only fields. Principal component and hierarchical cluster analyses constructed 15 field use classes that account for the complexity of forage production and grazing management. Geographical determinants of grassland use follow a certain hierarchy: slope and carrying capacity influence the occurrence of cutting, and field area determines the possibility of allocating a cut field to grazing animals and of allocating a field to milked cows. The distance to the cowshed is involved in the allocation to milked or suckler cows and also influences the order of the cutting and grazing sequence. For the same combination of geographical characteristics, two types of grassland use may be observed, highlighting the flexibility of mountain systems. A conceptual model of grassland use is proposed as the basis for field use allocation in a whole farm model. Further investigation will consider the influence of field pattern characteristics on these relationships.

scholarly journals A Systematic Review of Methods and Criteria Standard Proposal for the Use of Principal Component Analysis in Team’s Sports Science

2020 ◽  
Vol 17 (23) ◽  
pp. 8712 ◽  
Author(s):  
Daniel Rojas-Valverde ◽  
José Pino-Ortega ◽  
Carlos D. Gómez-Carmona ◽  
Markel Rico-González
Keyword(s):  
Systematic Review ◽  
Principal Component ◽  
Quality Criterion ◽  
Final Analysis ◽  
Multivariate Technique ◽  
Sports Science ◽  
Rotation Method ◽  
Standard Quality ◽  
Components Analysis ◽  
Statistical Criteria

The availability of critical information about training and competition is fundamental on performance. Principal components analysis (PCA) is widely used in sports as a multivariate technique to manage big data from different technological assessments. This systematic review aimed to explore the methods reported and statistical criteria used in team’s sports science and to propose a criteria standard to report PCA in further applications. A systematic electronic search was developed through four electronic databases and a total of 45 studies were included in the review for final analysis. Inclusion criteria: (i) of the studies we looked at, 22.22% performed factorability processes with different retention criteria (r > 0.4–0.7); (ii) 21 studies confirmed sample adequacy using Kaiser-Meyer-Olkim (KMO > 5–8) and 22 reported Bartlett’s sphericity; (iii) factor retention was considered if eigenvalues >1–1.5 (n = 29); (iv) 23 studies reported loading retention (>0.4–0.7); and (v) used VariMax as the rotation method (48.9%). A lack of consistency and serious voids in reporting of essential methodological information was found. Twenty-one items were selected to provide a standard quality criterion to report methods sections when using PCA. These evidence-based criteria will lead to a better understanding and applicability of the results and future study replications.

scholarly journals Reliability, Validity and Factor Structure of Values Scale

2020 ◽  
Author(s):  
Mubashir Gull ◽  
Eisha Rahman ◽  
Akbar Husain
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Codes Of Conduct ◽  
Belief System ◽  
Principal Component ◽  
Core Values ◽  
Fit Indices ◽  
The Core ◽  
Rotation Method ◽  
The Impact

<p> The impact our decisions cast on ourselves and others are often a resounding reflection of the core values infused in our belief system. They are the guiding principles for desirable codes of conduct and actions that modulate one’s self-concept. Thus precise identification of values can unearth one’s priorities and basis of functioning. However, the lack of sound and comprehensive instruments for evincing the core values of individuals in eastern countries serves as the prime motive for the present study, i.e., development of the values scale. More explicitly, the exploratory factor analysis (EFA) was run to explore the factor structure of the scale. The factor validity of 25 item scale was determined on a sample of 300 adults. Principal component analysis with Varimax rotation method yielded a seven-factor structure (Benevolence, Egalitarian, Self-direction, Social Obligation, Aspirations, Political, and Spiritual/ Religious) collectively accounting 59.48 percent of the variance. Furthermore, confirmatory factor analysis (CFA) indicated that the seven-factor solution proposed in EFA has good fit indices (χ2/df = 2.11; AGFI = .834; CFI = .851; RMSEA = .061; RMR = .026; TLI = .823). The obtained results thus supported an acceptable level of reliability, validity, and factor structure of the Values Scale.</p>

The Impact of Shariah Governance and Corporate Governance on the Risk Management Practices: Evidence from Local and Foreign Islamic Banks in Malaysia

2018 ◽  
Vol 15 (2) ◽  
pp. 1-20
Author(s):  
Sabri Embi ◽  
Zurina Shafii
Keyword(s):  
Risk Management ◽  
Corporate Governance ◽  
Management Practices ◽  
Principal Component ◽  
T Test ◽  
The Body ◽  
Primary Data ◽  
Islamic Banks ◽  
Shariah Governance ◽  
The Impact

The purpose of this study is to examine the impact of Shariah governance and corporate governance (CG) on the risk management practices (RMPs) of local Islamic banks and foreign Islamic banks operating in Malaysia. The Shariah governance comprises the Shariah review (SR) and Shariah audit (SA) variables. The study also evaluates the level of RMPs, CG, SR, and SA between these two type of banks. With the aid of SPSS version 20, the items for RMPs, CG, SR, and SA were subjected to principal component analysis (PCA). From the PCA, one component or factor was extracted each for the CG, SR, and RMPs while another two factors were extracted for the SA. Primary data was collected using a self-administered survey questionnaire. The questionnaire covers four aspects ; CG, SR, SA, and RMPs. The data received from the 300 usable questionnaires were subjected to correlation and regression analyses as well as an independent t-test. The result of correlation analysis shows that all the four variables have large positive correlations with each other indicating a strong and significant relationship between them. From the regression analysis undertaken, CG, SR, and SA together explained 52.3 percent of the RMPs and CG emerged as the most influential variable that impacts the RMPs. The independent t-test carried out shows that there were significant differences in the CG and SA between the local and foreign Islamic banks. However, there were no significant differences between the two types of the bank in relation to SR and RMPs. The study has contributed to the body of knowledge and is beneficial to academicians, industry players, regulators, and other stakeholders.

On the Dimensionality of Measuring Tourist Satisfaction towards Homestay

2015 ◽  
Vol 8 (2) ◽  
Author(s):  
Gangaram Biswakarma
Keyword(s):  
Factor Analysis ◽  
Data Collection ◽  
Exploratory Factor Analysis ◽  
Life Style ◽  
Factor Loading ◽  
Primary Data ◽  
Cultural Performance ◽  
Latent Construct ◽  
Tourist Satisfaction ◽  
The Relationship

This study focuses on measuring tourist satisfaction towards home stay. This paper emphasized to identify the variables that are related to tourist satisfaction during tourist homestay. It is also focused on analyzing the relationship and impact of these latent construct of factors to overall tourist satisfaction towards home stay. In an attempt to visualize the purpose, tourists satisfaction in a homestay in Nepal has taken into as a case, with an aim to identify the underlying dimensions of tourist satisfaction during tourist homestay. Twenty six (26) manifest variables of homestay has been formulated to understand the dimensions. Likewise, for a conforming the latent construct (1) statement as dependent variable of overall satisfaction was developed for the purpose of the primary data collection. The manifest variables are basically focused on aspects of home stay attributes namely cultural attraction, hospitality, amenities and safety & security at the home stay destination. Post Exploratory Factor Analysis indicates factor loading for twenty two (22) items manifest variables as significant, loaded with five (5) factors of home stay attributes named as Amenities & Safety, Reception, Local Cuisine & Accommodation, Local Life style & Costumes, and Cultural Performance. This study contributes to the development of survey instrument for exploring tourist satisfaction for Home stay for future researchers.

Evaluation of the Aging Behavior of High Density Polyethylene in Thermal Oxidative Environment by Principal Component Analysis

2017 ◽  
Vol 727 ◽  
pp. 447-449 ◽  
Author(s):  
Jun Dai ◽  
Hua Yan ◽  
Jian Jian Yang ◽  
Jun Jun Guo
Keyword(s):  
Principal Component Analysis ◽  
Impact Strength ◽  
High Density Polyethylene ◽  
Tensile Modulus ◽  
Principal Component ◽  
Component Analysis ◽  
High Density ◽  
Aging Behavior ◽  
Data Set ◽  
The Impact

To evaluate the aging behavior of high density polyethylene (HDPE) under an artificial accelerated environment, principal component analysis (PCA) was used to establish a non-dimensional expression Z from a data set of multiple degradation parameters of HDPE. In this study, HDPE samples were exposed to the accelerated thermal oxidative environment for different time intervals up to 64 days. The results showed that the combined evaluating parameter Z was characterized by three-stage changes. The combined evaluating parameter Z increased quickly in the first 16 days of exposure and then leveled off. After 40 days, it began to increase again. Among the 10 degradation parameters, branching degree, carbonyl index and hydroxyl index are strongly associated. The tensile modulus is highly correlated with the impact strength. The tensile strength, tensile modulus and impact strength are negatively correlated with the crystallinity.

scholarly journals Inheritable testicular metabolic memory of high-fat diet causes transgenerational sperm defects in mice

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Luís Crisóstomo ◽  
Ivana Jarak ◽  
Luís P. Rato ◽  
João F. Raposo ◽  
Rachel L. Batterham ◽  
...  
Keyword(s):  
Sperm Quality ◽  
Feeding Habits ◽  
Reproductive Function ◽  
Principal Component ◽  
Testicular Tissue ◽  
Sperm Parameters ◽  
Metabolic Memory ◽  
High Fat ◽  
And Function ◽  
The Impact

AbstractThe consumption of energy-dense diets has contributed to an increase in the prevalence of obesity and its comorbidities worldwide. The adoption of unhealthy feeding habits often occurs at early age, prompting the early onset of metabolic disease with unknown consequences for reproductive function later in life. Recently, evidence has emerged regarding the intergenerational and transgenerational effects of high-fat diets (HFD) on sperm parameters and testicular metabolism. Hereby, we study the impact of high-fat feeding male mice (F0) on the testicular metabolome and function of their sons (F1) and grandsons (F2). Testicular content of metabolites related to insulin resistance, cell membrane remodeling, nutritional support and antioxidative stress (leucine, acetate, glycine, glutamine, inosine) were altered in sons and grandsons of mice fed with HFD, comparing to descendants of chow-fed mice. Sperm counts were lower in the grandsons of mice fed with HFD, even if transient. Sperm quality was correlated to testicular metabolite content in all generations. Principal Component Analysis of sperm parameters and testicular metabolites revealed an HFD-related phenotype, especially in the diet-challenged generation and their grandsons. Ancestral HFD, even if transient, causes transgenerational “inherited metabolic memory” in the testicular tissue, characterized by changes in testicular metabolome and function.

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