A structural equation modeling of reproductive health promoting behaviors among female adolescents in the Philippines

2021 ◽  
Author(s):  
Yoona Choi ◽  
Taewha Lee
Keyword(s):  
Structural Equation Modeling ◽  
Reproductive Health ◽  
Structural Equation ◽  
The Philippines ◽  
Female Adolescents ◽  
Equation Modeling ◽  
Health Promoting Behaviors ◽  
Health Promoting

scholarly journals Factors Influencing Repurchase Intention in Drive-Through Fast Food: A Structural Equation Modeling Approach

Foods ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 1205
Author(s):  
Yogi Tri Prasetyo ◽  
Allysa Mae Castillo ◽  
Louie John Salonga ◽  
John Allen Sia ◽  
Thanatorn Chuenyindee ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Indirect Effect ◽  
Fast Food ◽  
Structural Equation ◽  
The Philippines ◽  
Equation Modeling ◽  
Repurchase Intention ◽  
Online Questionnaire ◽  
Fast Food Industry ◽  
Factors Influencing

The drive-through fast-food industry has been one of the fastest businesses growing over the past decades in developing countries, including the Philippines. The purpose of this study was to evaluate factors influencing costumers’ repurchase intention in a drive-through fast food in the Philippines by utilizing the structural equation modeling (SEM) approach. A total of 305 Filipinos answered the online questionnaire, which contained 38 questions. The results of SEM indicated that subjective appetite (SA) was found to have a significant direct effect on menu options (MO). Consequently, MO was found to have significant direct effects on imagery elaboration (IE), vividness (VV), and convenience (CO), and an indirect effect on order accuracy (OA). Finally, SA, MO, IE, VV, OA, and CO were found to have significant effects on satisfaction (S), which subsequently led to loyalty (L) and repurchase intention (RI). Interestingly, MO was found to have the highest indirect effect on RI, indicating that MO is an important consideration for RI. This is the first comprehensive study evaluating drive-through fast food in the Philippines. The causal relationships of the present study can be applied and extended to evaluate the repurchase intention of drive-through fast food in other countries.

Factors affecting health promoting behavior among older women in Korea: a structural equation model

2020 ◽  
Author(s):  
Jihyun Oh
Keyword(s):  
Social Support ◽  
Older Women ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Equation Model ◽  
Equation Modeling ◽  
Perceived Benefits ◽  
Health Promoting Behaviors ◽  
Health Promoting ◽  
Fit Index

Summary The purpose of this study was to explain the health promoting behaviors of older women in South Korea using a structural equation model. The health promotion model developed by Pender was used. A survey using self-administered questionnaires was carried out between 2 October 2016 and 26 November 2016, with 252 older women ≥65 years living in Korea. The data were analyzed using structural equation modeling. The fitness parameters of the modified model (χ2 = 227.243, df = 176, χ2/df = 1.29, p = 0.006, root mean square error of approximation = 0.034, goodness of fit index = 0.927, Tucker−Lewis Index = 0.979, comparative fit index = 0.984, normed fit index = 0.933) indicated its suitability as the research model. Perceived benefits of action and social support directly influenced health promoting behavior, and prior related behavior indirectly influenced health promoting behavior. Interventions should aim to directly improve social support and perceived benefits to increase health promoting behaviors.

scholarly journals The influence of organizational commitment on the perceived effectiveness of virtual meetings by filipino professionals during the COVID-19 Pandemic: A structural equation modeling approach

Work ◽  
2021 ◽  
pp. 1-11
Author(s):  
Yogi Tri Prasetyo ◽  
Lorenzo Dones Montenegro ◽  
Reny Nadlifatin ◽  
Yoshiki B. Kurata ◽  
Ardvin Kester S. Ong ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Organizational Commitment ◽  
Latent Variables ◽  
Structural Equation ◽  
The Philippines ◽  
Equation Modeling ◽  
Perceived Effectiveness ◽  
Online Questionnaire ◽  
Virtual Meeting ◽  
Virtual Meetings

BACKGROUND: Virtual meetings have been widely utilized during the COVID-19 pandemic. OBJECTIVE: The purpose of this study was to explore the influence of organizational commitment on the perceived effectiveness of virtual meeting by Filipino professionals during the COVID-19 pandemic. METHODS: A total of 513 Filipino professionals answered an online questionnaire which covered four latent variables: organizational commitment to virtual meetings, attitude toward virtual meetings, perceived effectiveness of virtual meeting as collaboration tool, and perceived effectiveness of virtual meeting as a social tool. Structural Equation Modeling (SEM) was utilized to analyze the causal relationships between the latent variables construct. RESULTS: SEM showed that organizational commitment to virtual meeting during the COVID-19 pandemic influenced the positive attitude of the employees which subsequently led to the perceived effectiveness of virtual meeting as a collaboration and social tool. CONCLUSIONS: This study is the first study that analyzed the influence of organizational commitment on the perceived effectiveness of virtual meeting during the COVID-19 pandemic in the Philippines. Our SEM construct can be applied and extended further, particularly in analyzing factors influencing the perceived effectiveness of virtual meeting during the COVID-19 pandemic.

Factors Affecting Aggression on Female Middle School-Aged Adolescents: A Structural Equation Modeling Approach

2021 ◽  
Author(s):  
Haleh Heizomi ◽  
Mohammad Asghari Jafarabadi ◽  
Kamiar Kouzekanani ◽  
Hossein Matlabi ◽  
Mansour Bayrami ◽  
...  
Keyword(s):  
Middle School ◽  
Structural Equation Modeling ◽  
Human Development ◽  
Structural Equation ◽  
Social Acceptance ◽  
Well Being ◽  
Female Adolescents ◽  
Equation Modeling ◽  
Contributing Factors ◽  
Effective Interventions

Abstract Background: In all cultures and countries, adolescents exhibit behavioral problems. Aggression among adolescents may be a public health concern and is defined as a behavioral and emotional response which distressed others. The purpose of this study was to understand the individual and environmental factors associated with aggression among female teens.Method: The cross-sectional study was conducted in Tabriz, Iran. The sample consisted of 707 female middle school-aged students. The study was guided by the ecological systems theory of human development. The variables of interest were aggression, general health status, happiness, social acceptance, and feeling of loneliness. Structural equation modeling was employed to analyze the data.Results: A link between aggression and poor psychological well-being among the participating female adolescents was identified. Specifically, factors influencing aggression were low parental support, low satisfaction with body image, high sense of loneliness, and lower perceived social acceptance. Conclusion: The present study, driven by the ecological model of human development, contributes to individuals’ understanding of aggression among female adolescents, focusing on the school environment, family environment, and cognitive factors. Aggression among young girls is unhealthy and adversely affects psychological well-being. The contributing factors must be taken into consideration in designing and implementing effective interventions. The contributing factors must be taken into consideration in designing and implementing effective interventions.

Testing the Assumption of Uncorrelated Errors for Short Scales by Means of Structural Equation Modeling

2014 ◽  
Vol 35 (4) ◽  
pp. 201-211 ◽  
Author(s):  
André Beauducel ◽  
Anja Leue
Keyword(s):  
Structural Equation Modeling ◽  
Negative Correlation ◽  
Structural Equation ◽  
Error Score ◽  
Classical Test Theory ◽  
Test Theory ◽  
Equation Modeling ◽  
Eysenck Personality Questionnaire ◽  
Personality Questionnaire ◽  
True Score

It is shown that a minimal assumption should be added to the assumptions of Classical Test Theory (CTT) in order to have positive inter-item correlations, which are regarded as a basis for the aggregation of items. Moreover, it is shown that the assumption of zero correlations between the error score estimates is substantially violated in the population of individuals when the number of items is small. Instead, a negative correlation between error score estimates occurs. The reason for the negative correlation is that the error score estimates for different items of a scale are based on insufficient true score estimates when the number of items is small. A test of the assumption of uncorrelated error score estimates by means of structural equation modeling (SEM) is proposed that takes this effect into account. The SEM-based procedure is demonstrated by means of empirical examples based on the Edinburgh Handedness Inventory and the Eysenck Personality Questionnaire-Revised.

The Measurement Invariance of the Short Dark Triad

2020 ◽  
Vol 41 (4) ◽  
pp. 207-218
Author(s):  
Mihaela Grigoraș ◽  
Andreea Butucescu ◽  
Amalia Miulescu ◽  
Cristian Opariuc-Dan ◽  
Dragoș Iliescu
Keyword(s):  
Structural Equation Modeling ◽  
Item Response ◽  
Structural Equation ◽  
Dark Triad ◽  
Theory And Practice ◽  
Equation Modeling ◽  
Scale Level ◽  
High Stake ◽  
Differential Functioning ◽  
Item Functioning

Abstract. Given the fact that most of the dark personality measures are developed based on data collected in low-stake settings, the present study addresses the appropriateness of their use in high-stake contexts. Specifically, we examined item- and scale-level differential functioning of the Short Dark Triad (SD3; Paulhus & Jones, 2011 ) measure across testing contexts. The Short Dark Triad was administered to applicant ( N = 457) and non-applicant ( N = 592) samples. Item- and scale-level invariances were tested using an Item Response Theory (IRT)-based approach and a Structural Equation Modeling (SEM) approach, respectively. Results show that more than half of the SD3 items were flagged for Differential Item Functioning (DIF), and Exploratory Structural Equation Modeling (ESEM) results supported configural, but not metric invariance. Implications for theory and practice are discussed.

Childhood Intelligence Predicts Adult Trait Openness

2016 ◽  
Vol 37 (2) ◽  
pp. 105-111 ◽  
Author(s):  
Adrian Furnham ◽  
Helen Cheng
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Social Background ◽  
Study Data ◽  
Equation Modeling ◽  
Direct Effects ◽  
Data Set ◽  
National Child Development Study ◽  
Nationally Representative ◽  
The Uk

Abstract. This study used a longitudinal data set of 5,672 adults followed for 50 years to determine the factors that influence adult trait Openness-to-Experience. In a large, nationally representative sample in the UK (the National Child Development Study), data were collected at birth, in childhood (age 11), adolescence (age 16), and adulthood (ages 33, 42, and 50) to examine the effects of family social background, childhood intelligence, school motivation during adolescence, education, and occupation on the personality trait Openness assessed at age 50 years. Structural equation modeling showed that parental social status, childhood intelligence, school motivation, education, and occupation all had modest, but direct, effects on trait Openness, among which childhood intelligence was the strongest predictor. Gender was not significantly associated with trait Openness. Limitations and implications of the study are discussed.

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