scholarly journals I Saw it in the Movies, But Does That Matter? Product Placement in a Cross Cultural Study Between Brazil and the USA

2013 ◽  
Vol 12 (2) ◽  
pp. 1-28 ◽  
Author(s):  
Ricardo Boeing ◽  
André Torres Urdan ◽  
James William Gentry
Keyword(s):  
Factor Analysis ◽  
Structural Equation ◽  
Statistical Tests ◽  
Principal Component ◽  
Product Placement ◽  
Equation Modeling ◽  
Chi Square ◽  
Specific Subgroup ◽  
The Usa ◽  
Survey Instruments

The broader objective of this study was to measure the attitudes of consumers regarding the brand displayed by this strategy as well as to highlight recall, recognition and purchase intentions generated by product placement on consumers from both Brazil and the USA. Cronbachs Alpha Coefficient ensured the reliability of survey instruments. The study involved the use of the Structural Equation Modeling (SEM) for the hypothesis testing. This study used the Confirmatory Factor Analysis (CFA) to assess both the convergent and discriminant validities instead of using the Exploratory Factor Analysis (EFA) or the Principal Component Analysis (PCA). This reinforced for the use of the regression Chi Square and T statistical tests in further. Only hypothesis H3 was rejected, the rest were not. T test provided insight findings on specific subgroup significant differences. It can be concluded that product placement varies markedly in the U.S. from Brazil based on the influence of a range of factors. In order for product placement to become more competitive in the promotional marketing, there will be the need for researchers to extend focus from the traditional variables and add knowledge on the conventional marketplace.DOI: 10.5585/remark.v12i2.2507

Consumers Attitude towards Ads on Social Media

2019 ◽  
Vol 3 (ii) ◽  
Author(s):  
Biraj Ghimire ◽  
Bharat Singh Thapa ◽  
Suman Dahal
Keyword(s):  
Social Media ◽  
Factor Analysis ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Structural Model ◽  
Principal Component ◽  
Equation Modeling ◽  
Purchase Decision ◽  
Intention To Use ◽  
Validity And Reliability

The purpose of the study was to investigate influence of advertisement traits on attitude towards Ads on social media and intention to use them for purchase decision. The study used Structural Equation Modeling (SEM) to examine the relationship. The validity and reliability of the constructs were evaluated using exploratory factor analysis (EFA). The EFA was conducted using Principal Component Analysis and Varimax Rotation Method. 7 factors explained 67% of variation. The result also showed sampling adequacy with Kaiser-Meyer-Olin (KMO) test and Bartlett’s Test of Sphericity indicated that sample of 255 was appropriate for factor analysis. The result provided a justifiable range of construct reliability and discriminant validity. Consequently, structural model was developed. Confirmatory Factor Analysis was conducted to test the goodness of the model. The result indicated that advertisement contents on social media with informative and entertaining were more likely to be used by the consumers. Similarly, favorable attitude towards Ads on social media had a positive intention to use the message for purchase decision. Key words: Marketing, Attitude, Ads on social media, Consumers, Factor analysis, Message

A Practical Approach towards Managing Government Funds in Tripura

Think India ◽  
2015 ◽  
Vol 18 (1) ◽  
pp. 1-6
Author(s):  
Rajat Deb
Keyword(s):  
Factor Analysis ◽  
Internal Control ◽  
Statistical Tests ◽  
Principal Component ◽  
Financial Education ◽  
T Test ◽  
Primary Data ◽  
Chi Square ◽  
Chi Square Test ◽  
Funds Management

The study examines the perception of the employees working in different State Government Departments in Tripura, and of university and college students about funds management in government sector. It obtained primary data from 160 respondents consisting of 96 men and 64 women from all the eight districts of Tripura using judgement and quota sampling technique through schedule and personal interviews. Different statistical tests like Students t-test, Pearsons Chi-square test, and factor analysis like Principal Component Analysis were performed to assess support for the hypotheses. The reliability of the questions and sample adequacy test was also carried out. Through factor analysis, four major factors viz. perceptions about the philosophy of Government accounting, perceptions about lack of financial literacy of the DDOs, perceptions about dysfunctional bureaucracy, and perceptions about slack monitoring and controlling of Governments funds were extracted. Based on such factors, Students t-test was carried out. PCA has been carried out in order to analyze the various components and Chi-square test was carried out to know the association of the male and female respondents perceptions about effective funds management strategies. The results of the study suggest that DDOs lack adequate financial education, they blindly trust the cashier, and books of records are not properly maintained and updated. It also suggests that periodical training, regular updating of books of accounts, accessing net banking facility for keeping vigil and continuous internal control and audit should be initiated for efficient funds management and to prevent employees fraud.

scholarly journals Perceived Inventory of Technological Competency as Caring in Nursing (PITCCN): Psychometric Evaluation

2019 ◽  
Vol 4 (2) ◽  
pp. 1 ◽  
Author(s):  
Hirokazu Ito ◽  
Tetsuya Tanioka ◽  
Mie Miyamoto ◽  
Misao Miyagawa ◽  
Yuko Yasuhara ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Construct Validity ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Psychometric Evaluation ◽  
Equation Modeling ◽  
Index Test ◽  
Chi Square ◽  
Technological Competency ◽  
Fit Index

Background: The theory of Technological Competency as Caring in Nursing (TCCN) was developed by Locsin (2005) to guide the expression of “technological competency as caring in nursing” among practicing nurses. While the Technological Competency as Caring in Nursing Instrument (TCCNI) was developed and translated into other languages, no instrument measuring the TCCN among Japanese nurses was developed and tested. Thus, the Perceived Inventory of Technological Competency of Caring in Nursing (PITCCN) was developed and improved. Aim: The aim of this study was to validate the PITCCN using construct validity through structural equation modeling (SEM). Methods: The PITCCN is a four-factor questionnaire. The PITCCN was distributed to four hospitals (402 nurses) from selected Shikoku District in Japan. The theoretical model was tested using confirmatory factor analysis (CFA). Exploratory factor analysis and CFA via a SEM were used to justify construct validity, and Cronbach’s alpha coefficient was determined to establish reliability of constructs using SPSS and AMOS 25.0. Results: Finding shows that the chosen fit index test like Tucker Lewis Index (TLI), Goodness of Fit Index (GFI), and Normed Fit Index (NFI) are greater than 0.80 as set by the requirement. The values of the chi-square/degree of freedom (CMIN/DF), Comparative Fit Index (CFI), Incremental Fit Index (IFI), and Root Mean Square of Error Approximation (RMSEA) showed acceptable to good fit. Conclusion: GFI of the structure model was acceptable.

scholarly journals Personal Cyber Security Provision Scale development studyKişisel Siber Güvenliği Sağlama Ölçeği geliştirme çalışması

2015 ◽  
Vol 12 (2) ◽  
pp. 75 ◽  
Author(s):  
Osman Erol ◽  
Yusuf Levent Şahin ◽  
Eray Yılmaz ◽  
Halil İbrahim Haseski
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Cyber Security ◽  
Structural Equation ◽  
Principal Component ◽  
Equation Modeling ◽  
Item Pool ◽  
Analysis Method ◽  
Internet Users ◽  
Rotation Method

<p>The aim of this study is to develop a scale to determine internet users behavior related to cyber security. In this context created an item pool in accordance with expert opinion. This item pool was administered to 810 people for exploratory factor analysis. In exploratory factor analysis; principal component analysis method which is commonly used and Varimax vertical rotation method to determine the factor structure was used. Scale was administered to 292 people and structural equation modeling approach was applied to confirmation study.As a result of factor analysis,“Personal Cyber Security Provision Scale" which consists of 5 factors and 25 items and has a good compatibility was occurred.</p><p> </p><p><strong>Özet</strong></p><p>Bu araştırmanın amacı internet kullanıcılarının siber güvenlik ile ilgili davranışlarını belirlemeye yönelik bir ölçek geliştirmektir. Bu bağlamda öncelikle uzman görüşü doğrultusunda 26 maddelik bir madde havuzu oluşturulmuştur. Bu madde havuzu yapı geçerliliğinin test edilmesi için Facebook sosyal paylaşımda bir uygulamayı kullanan 810 kişiye uygulanarak açımlayıcı faktör analizi yapılmıştır. Açımlayıcı faktör analizinde en sık kullanılan yöntem olan temel bileşenler analizi yöntemi kullanılmış, ölçekteki faktör yapısını belirlemek için ise Varimax - dikey döndürme yöntemi kullanılmıştır. Ölçeğin doğrulama çalışması için ise aynı sosyal ağ uygulamasını kullanan ve daha önce ölçeğin uygulandığı kişilerin elendiği292 kişinin verisi kullanılarak yapısal eşitlik modeli yaklaşımı uygulanmıştır. Açımlayıcı faktör analizi sonucunda 5 faktörlü ve 25 maddeden oluşan; doğrulayıcı faktör analizi sonucunda ise elde edilen uyum indekslerine göre iyi bir uyuma sahip "Kişisel Siber Güvenliği Sağlama Ölçeği" ortaya çıkmıştır.</p>

scholarly journals A systematic review of the main factors that determine agility in sport using structural equation modeling

2016 ◽  
Vol 52 (1) ◽  
pp. 115-123 ◽  
Author(s):  
Vladimir Hojka ◽  
Petr Stastny ◽  
Tomas Rehak ◽  
Artur Gołas ◽  
Aleksandra Mostowik ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Latent Variables ◽  
Structural Equation ◽  
Elite Athletes ◽  
Principal Component ◽  
Maximum Strength ◽  
Equation Modeling ◽  
Factorial Model ◽  
Main Factors

Abstract While tests of basic motor abilities such as speed, maximum strength or endurance are well recognized, testing of complex motor functions such as agility remains unresolved in current literature. Therefore, the aim of this review was to evaluate which main factor or factor structures quantitatively determine agility. In methodological detail, this review focused on research that explained or described the relationships between latent variables in a factorial model of agility using approaches such as principal component analysis, factor analysis and structural equation modeling. Four research studies met the defined inclusion criteria. No quantitative empirical research was found that tried to verify the quality of the whole suggested model of the main factors determining agility through the use of a structural equation modeling (SEM) approach or a confirmatory factor analysis. From the whole structure of agility, only change of direction speed (CODS) and some of its subtests were appropriately analyzed. The combination of common CODS tests is reliable and useful to estimate performance in sub-elite athletes; however, for elite athletes, CODS tests must be specific to the needs of a particular sport discipline. Sprinting and jumping tests are stronger factors for CODS than explosive strength and maximum strength tests. The authors suggest the need to verify the agility factorial model by a second generation data analysis technique such as SEM.

A Practical Approach towards Managing Government Funds in Tripura

2015 ◽  
Vol 4 (1) ◽  
Author(s):  
Rajat Deb
Keyword(s):  
Factor Analysis ◽  
Internal Control ◽  
Statistical Tests ◽  
Principal Component ◽  
Financial Education ◽  
T Test ◽  
Primary Data ◽  
Chi Square ◽  
Chi Square Test ◽  
Funds Management

The study examines the perception of the employees working in different State Government Departments in Tripura, and of university and college students about funds management in government sector. It obtained primary data from 160 respondents consisting of 96 men and 64 women from all the eight districts of Tripura using judgement and quota sampling technique through schedule and personal interviews. Different statistical tests like Students t-test, Pearsons Chi-square test, and factor analysis like Principal Component Analysis were performed to assess support for the hypotheses. The reliability of the questions and sample adequacy test was also carried out. Through factor analysis, four major factors viz. perceptions about the philosophy of Government accounting, perceptions about lack of financial literacy of the DDOs, perceptions about dysfunctional bureaucracy, and perceptions about slack monitoring and controlling of Governments funds were extracted. Based on such factors, Students t-test was carried out. PCA has been carried out in order to analyze the various components and Chi-square test was carried out to know the association of the male and female respondents perceptions about effective funds management strategies. The results of the study suggest that DDOs lack adequate financial education, they blindly trust the cashier, and books of records are not properly maintained and updated. It also suggests that periodical training, regular updating of books of accounts, accessing net banking facility for keeping vigil and continuous internal control and audit should be initiated for efficient funds management and to prevent employees fraud.

scholarly journals Academic self-efficacy and motivation: a measurement for the achievement of school objectives

2019 ◽  
Vol 9 (3) ◽  
pp. 119-135
Author(s):  
Patricio Galleguillos-Herrera ◽  
Eva Olmedo-Moreno
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Self Efficacy ◽  
Structural Equation ◽  
Learning Strategy ◽  
School Context ◽  
Equation Modeling ◽  
School Students ◽  
Chi Square ◽  
Academic Self Efficacy

The purpose of the current investigation is the construction and validation of the Self-Efficacy Scale (ACAES) through a deliberate sample of 1101 Chilean school students. The methodological procedure was carried out from the classic approach perspective of the theory of the test, complementing the exploratory factor analysis with the models of the structural equation modeling (SEM). The exploratory factor analysis of the 18 statements of the scale showed a structure of 3 factors, namely: confidence in the task; effort made in performing the task and comprehension of the task. The statistics associated to the instrument show a 57.037% of explained variance and a Cronbach alpha of the total scale of 0.917. At confirmatory level (SEM), the model obtained a goodness degree of global adjustment (Chi Square /gl) equal to 2.87, a RMSEA equal to 0.049, as well as, adequate adjustment index, namely, CFI=0.963; IFI=0.963 and RMSR (standardised)=0.0359. The psychometric properties account for a valid and reliable instrument for measurement of academic self-efficacy in school context, as well as, to facilitate cognitive and metacognitive processes as self-regulatory learning strategy.

Simulating the Effects of Common and Specific Abilities on Test Performance: An Evaluation of Factor Analysis

2014 ◽  
Vol 57 (5) ◽  
pp. 1919-1928 ◽  
Author(s):  
Dennis J. McFarland
Keyword(s):  
Factor Analysis ◽  
Test Performance ◽  
Test Scores ◽  
Latent Variables ◽  
Structural Equation ◽  
Linear Models ◽  
Principal Component ◽  
Equation Modeling ◽  
Multiple Sources ◽  
Simulated Test

Purpose Factor analysis is a useful technique to aid in organizing multivariate data characterizing speech, language, and auditory abilities. However, knowledge of the limitations of factor analysis is essential for proper interpretation of results. The present study used simulated test scores to illustrate some characteristics of factor analysis. Method Linear models were used to simulate test scores that were determined by multiple latent variables. These simulated test scores were evaluated with principal components analysis and, in certain cases, structural equation modeling. In addition, a subset of simulated individuals characterized by poor test performance was examined. Results The number of factors recovered and their identity do not necessarily correspond to the structure of the latent variables that generated the test scores. The first principal component may represent variance from multiple uncorrelated sources. Practices such as correction or control for general cognitive ability may produce misleading results. Conclusions Inferences from the results of factor analysis should be primarily about the structure of test batteries rather than the structure of human mental abilities. Researchers and clinicians should consider multiple sources of evidence to evaluate hypotheses about the processes generating test results.

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