scholarly journals Factors Behind Tourists’ Travel Motivation: The Case of the Gilan Region, Iran

2021 ◽  
Vol 40 (4) ◽  
pp. 101-112
Author(s):  
Yaser Ramazannejad ◽  
Moslem Zarghamfard ◽  
Arezoo Hajisharifi ◽  
Sahand Azar
Keyword(s):  
Factor Analysis ◽  
Data Analysis ◽  
Sample Size ◽  
Agricultural Products ◽  
Key Factors ◽  
Pull Factors ◽  
Push Factors ◽  
Travel Motivation ◽  
Main Factors ◽  
Gilan Province

Abstract This research aims to identify the pull and push factors that are effective for tourists travelling to Gilan province and classifying their motivations into key factors. Data were collected using a questionnaire. A total of 20 motives, including 11 push factors and 9 pull factors, were investigated. The sample size of the study was 390 people. For data analysis, single-sample t-test and factor analysis were used. The results showed that the average total pull motive was greater than the push motive. Motives were divided into three main factors: ‘nature-based tourism and spiritual regeneration’, ‘place dependency and the purchase of agricultural products’ and ‘lifestyle’. It should be noted that the ‘nature-based tourism and spiritual regeneration’ was found to be the most important factor for travelling to Gilan province.

scholarly journals ANALISIS FAKTOR – FAKTOR YANG MEMPENGARUHI KETERLAMBATAN PROYEK JALAN LINGKUNGAN PERMUKIMAN DI KABUPATEN BADUNG

2015 ◽  
Author(s):  
Ni Luh Yuli Ekawati ◽  
GAP. Candra Dharmayanti ◽  
I W. Yansen
Keyword(s):  
Factor Analysis ◽  
Data Analysis ◽  
Data Collection ◽  
Time Schedule ◽  
Construction Stage ◽  
Electronic Procurement ◽  
Housing Area ◽  
Local Roads ◽  
Three Stages ◽  
Main Factors

In reality, the construction of local roads for housing in Badung Regency has faced barriers, which causes delay to the projects. Therefore, the projects cannot run based on the schedule. Although the constructions has been done on different road and by different contractors, the delay is still repeatedly occurred in every stage of the construction, started from the tender, constructions and post constructions stage. This study purposed to identify factors and the main factors that influence the delay of the construction of local roads for housing area. The identification was determined based on three stages of constructions. Data collection was conducted using questionnaires, involved 54 respondents those are participated in the construction of local roads for housing area in Badung Regency in 2012 and 2013.  Data analysis covered factor analysis. The result shows that there are six factors that influence delay of the construction of local roads for housing in Badung Regency. This covers: one factor at the tender stage which is the unpreparedness of the contractor’s employees; four factors at the constructions stage, which are material and time schedule, alteration and controlling, lack of labour and equipment, and financial and weather; and one factor at the post construction stage, which is the penalty for the contractors. Among these six, the main factors that cause delays are: the unpreparedness of the contractor’s employees for submitting documents to the electronic procurement (at the tender stage); lack of paving block supply (at the construction stage); and the unclear penalty for the contractors (at the post construction stage).

scholarly journals Identification of Facet Models by Means of Factor Rotation: A Simulation Study and Data Analysis of a Test for the Berlin Model of Intelligence Structure

2020 ◽  
Vol 80 (5) ◽  
pp. 995-1019
Author(s):  
André Beauducel ◽  
Martin Kersting
Keyword(s):  
Factor Analysis ◽  
Data Analysis ◽  
Sample Size ◽  
Simulation Study ◽  
Simple Structure ◽  
Factor Models ◽  
Minimum Entropy ◽  
Factor Rotation ◽  
Number Of Factors ◽  
Target Rotation

We investigated by means of a simulation study how well methods for factor rotation can identify a two-facet simple structure. Samples were generated from orthogonal and oblique two-facet population factor models with 4 (2 factors per facet) to 12 factors (6 factors per facet). Samples drawn from orthogonal populations were submitted to factor analysis with subsequent Varimax, Equamax, Parsimax, Factor Parsimony, Tandem I, Tandem II, Infomax, and McCammon’s minimum entropy rotation. Samples drawn from oblique populations were submitted to factor analysis with subsequent Geomin rotation and a Promax-based Tandem II rotation. As a benchmark, we investigated a target rotation of the sample loadings toward the corresponding faceted population loadings. The three conditions were sample size ( n = 400, 1,000), number of factors ( q = 4-12), and main loading size ( l = .40, .50, .60). For less than six orthogonal factors Infomax and McCammon’s minimum entropy rotation and for six and more factors Tandem II rotation yielded the highest congruence of sample loading matrices with faceted population loading matrices. For six and more oblique factors Geomin rotation and a Promax-based Tandem II rotation yielded the highest congruence with faceted population loadings. Analysis of data of 393 participants that performed a test for the Berlin Model of Intelligence Structure revealed that the faceted structure of this model could be identified by means of a Promax-based Tandem II rotation of task aggregates corresponding to the cross-products of the facets. Implications for the identification of faceted models by means of factor rotation are discussed.

scholarly journals The Health Competency Determinant Factors Of Latvian Population

2013 ◽  
Vol 5 ◽  
Author(s):  
Inara Upmale ◽  
Andrejs Geske
Keyword(s):  
Factor Analysis ◽  
Health Education ◽  
Adult Life ◽  
Key Factors ◽  
Adult Individual ◽  
Factors Affecting ◽  
Individual Health ◽  
Gender Education ◽  
Main Factors ◽  
The Individual

Competencies develop and changes throughout a person’s life, they can gain or lose, going through various age stages. Their development does not end in youth, but continue on through the adult life. The ability to thing and reflect those thoughts specifically come forward in the center of structure of competency, which grows at the same time as the individual matures. One of the competency types is health competency. Health competency is a relatively new concept; it is not sufficiently researched. Aim of the study was to determine the factors of an adult individual health competency. 827 respondents participated in the study, in the processing of data was used SPSS. Was used factor analysis, analysis of variance with ANOVA and Kruskal-Wallis test and Pearsons correlation. It was found that health competency is affected by several factors. These are: health education, health behavior, and the value of the environment. Each of the sets was distributed to key factors. It is the main factors affecting the health competence, but additional factors are: gender, education and income.

scholarly journals Brain drain of doctors from southern Africa: brain gain for Australia

2006 ◽  
Vol 30 (1) ◽  
pp. 25 ◽  
Author(s):  
Sumit S Oberoi ◽  
Vivian Lin
Keyword(s):  
Southern Africa ◽  
Brain Drain ◽  
Negative Impact ◽  
Donor Country ◽  
Developed Countries ◽  
Key Factors ◽  
Pull Factors ◽  
Push Factors ◽  
Brain Gain ◽  
Technical Personnel

?Brain drain? is the depletion or loss of intellectual and technical personnel. The United Nations defines it as a one-way movement of highly skilled people from developing to developed countries that only benefits the industrialised (host) world. Today, brain drain is a major problem facing less developed countries, while Australia and other developed countries are the beneficiaries. Brain drain is reported to have direct negative impact on the population?s health status in the donor country, with associated consequences for the productivity and welfare of the population. This paper reports on a qualitative study to understand the key factors behind brain drain from the perspective of the migrating doctor, and to consider possible solutions. Interviews were conducted with doctors who have migrated to Australia from southern Africa to explore reasons for brain drain. Specifically, the study tests the supposition that push factors play a much greater role than pull factors, and identifies which push factors are most important. Strategies to prevent brain drain from this depleted labour region are considered.

scholarly journals A Methodological Review of Exploratory Factor Analysis in Sexuality Research: Used Practices, Best Practices, and Data Analysis Resources

2017 ◽  
Author(s):  
John Kitchener Sakaluk ◽  
Stephen David Short
Keyword(s):  
Factor Analysis ◽  
Data Analysis ◽  
Best Practices ◽  
Sample Size ◽  
Exploratory Factor Analysis ◽  
Sample Size Determination ◽  
Sexuality Research ◽  
Size Determination ◽  
Methodological Review

Sexuality researchers frequently use exploratory factor analysis (EFA), in order to illuminate the distinguishable theoretical constructs assessed by a set of variables. EFA entails a substantive number of analytic decisions to be made with respect to sample size determination, and how factors are extracted, rotated, and retained. The available analytic options, however, are not all equally empirically rigorous. In the present paper, we discuss the commonly available options for conducting EFA, and which constitute best practices for EFA. We also present the results of a methodological review of the analytic options for EFA used by sexuality researchers in over 200 EFAs, published in more than 160 articles and chapters from 1974 to 2014. Our review reveals that best practices for EFA are actually those least frequently used by sexuality researchers. We introduce freely available analytic resources to help make it easier for sexuality researchers to adhere to best practices when conducting EFAs in their own research.

Ricerca preliminare sulla valutazione Italiana dell'Internet Disorder Scale – Short Form (IDS9-SF)

2019 ◽  
Author(s):  
Paolo Soraci
Keyword(s):  
Social Networks ◽  
Factor Analysis ◽  
Data Analysis ◽  
Concurrent Validity ◽  
Short Form ◽  
Analysis Techniques ◽  
Validity Criterion ◽  
Preliminary Research ◽  
Nomological Validity ◽  
Italian Territory

The purpose of this study is to create a new tool capable of diagnosing the severity of internet addiction (IA) and is based on the nine IGD criteria. These same criteria were suggested by the APA in the last edition of the DSM-51. A sample was recruited with a method of convenience and 300+ participants were recruited through different forums and social networks. The construct validity of the IDS9SF test was achieved through factor analysis and nomological validity. The concurrent validity, criterion and reliability of the test itself have been thoroughly investigated through the most common and consolidated data analysis techniques, confirming that the same test has sufficient psychometric properties to be used also in the Italian territory. Furthermore it is necessary to remember that this preliminary research is only valid in the field of data and statistics with all the limitations of the case and cannot be used for a real clinical evaluation.

Gratifications for using social media

2016 ◽  
Vol 34 (2) ◽  
pp. 139-147 ◽  
Author(s):  
Chunmei Gan
Keyword(s):  
Social Media ◽  
Factor Analysis ◽  
Data Analysis ◽  
University Students ◽  
Factor Structure ◽  
T Test ◽  
Sina Weibo ◽  
Chinese University ◽  
Valid Data ◽  
Paired T Test

The purpose of this paper is to examine the general and specific gratifications that drive users’ choice of different social media. Sina Weibo and WeChat in China were selected for the current study. Two separate empirical surveys were conducted and 368 valid data were collected from Chinese university students experienced in using Sina Weibo or WeChat. Exploratory factor analysis, paired t test and independent-samples t test were employed for data analysis. The results identify four general gratifications for using different social media: hedonic gratification, affection gratification, information gratification and social gratification. In addition, factor structure of information gratification is different for different social media. Furthermore, the strength of each gratification differs to varying degrees across the use of different social media. Information gratification plays the most salient role in using Sina Weibo, whereas affection gratification is the most important motive for the use of WeChat. Also, the use of Sina Weibo can better fulfill individuals’ information and hedonic gratifications, while individuals prefer to use WeChat for achieving gratifications of social and affection.

Study on Subjective Evaluation of Comfort of Lighting Environment in Nursing Institutions

2016 ◽  
Vol 858 ◽  
pp. 262-266
Author(s):  
Yuan Yuan Zhou ◽  
Wang Da Zhu
Keyword(s):  
Factor Analysis ◽  
Subjective Evaluation ◽  
Analysis Method ◽  
Environment Quality ◽  
Switch Control ◽  
Sense Of Security ◽  
Lighting Environment ◽  
Main Factors

This paper investigated and determined the subjective evaluation indicators of comfort in lighting environment for elderly in nursing institutions. Factor analysis method was utilized and the result showed that the recognition of space and figures, sense of security from even illumination, convenience of switch control and no glare were the main factors. The conclusion of the study was not only used to evaluate the lighting environment quality, but also used to guide the design of lighting environment in nursing institutions.

Application of Factor Analysis in Imaging Mass Spectrometric Data Analysis

2014 ◽  
Vol 42 (8) ◽  
pp. 1099-1103 ◽  
Author(s):  
Yi CHEN ◽  
Fei TANG ◽  
Tie-Gang LI ◽  
Jiu-Ming HE ◽  
Zeper ABLIZ ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Data Analysis ◽  
Mass Spectrometric ◽  
Mass Spectrometric Data ◽  
Spectrometric Data

KEY FACTORS FOR REDUCING LIVE POULTRY LOSSES DURING TRANSPORTATION

2021 ◽  
Vol 113 ◽  
pp. 115-131
Author(s):  
Valery KURGANOV ◽  
Mikhail GRYAZNOV ◽  
Egor TIMOFEEV ◽  
Liliya POLYAKOVA
Keyword(s):  
Mathematical Model ◽  
Factor Analysis ◽  
Economic Impact ◽  
Processing Plant ◽  
Poultry Farm ◽  
Key Factors ◽  
Live Poultry

The results of this study on the loss of live poultry at various stages of delivery from the farm to the processing plant by road are given. A factor analysis of the reasons for the loss of livestock delivered from the farm to the processing plant was carried out. The dependencies of livestock losses on loading delays and the duration of the movement of the loaded poultry farm to the processing plant were established. Methodological recommendations for rationing the number of injuries observed during delivery were developed. The study of losses of live birds during delivery to the processing plant from the density of stocking in shipping boxes was carried out; the economic and mathematical model for optimizing the landing of live birds in shipping boxes was proposed. The calculation of the economic impact of the implementation of the results of the study is given.

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