Does Happiness in the Cyberspace Promote That in the Real-World?

2015 ◽  
Vol 11 (2) ◽  
pp. 33-44 ◽  
Author(s):  
Sen-Chi Yu ◽  
Chien Chou
Keyword(s):  
Structural Equation Modeling ◽  
Real World ◽  
Virtual World ◽  
Structural Equation ◽  
College Freshmen ◽  
Equation Modeling ◽  
Psychological States ◽  
Reciprocal Relationships ◽  
The Real ◽  
Causal Priority

To examine reciprocal relationships between “virtual world”-context cyberspace positive-psychological states (CPSs) and “real world”-context positive-psychological states (PSs), this study conducted a two-wave panel design with about two-semester interval on 251 Taiwan college freshmen and analyzed the data using cross-lagged structural equation modeling. The analytical results show that CPSs have causal priority over PSs, but not vise versa. Therefore, the cyberspace PSs of the former stage influenced the real-world PSs during the latter stage. These results indicate that college students tended to incorporate their cyberspace positive-psychological states into their “real world.” The authors have concluded that cyberspace positive-psychological states do not substitute for and, indeed, contribute to real-world states.

International Real Estate Review

2007 ◽  
Vol 10 (1) ◽  
pp. 1-25
Author(s):  
Elizabeth Hemphill ◽  
Keyword(s):  
Structural Equation Modeling ◽  
Real Estate ◽  
Structural Equation ◽  
Equation Modeling ◽  
Process Step ◽  
The Real ◽  
The Real Estate ◽  
Estate Property ◽  
Modeling Data

This paper explores agent sales presentations in the real estate property listing process using structural equation modeling. Data were collected from both vendors and agents to identify important agent attributes in both successful and unsuccessful presentation attempts. The research found that agents consider really hearing the vendor, getting along with the vendor and getting to know the vendor as key elements of a listing attempt, whilst vendors suggest the path to listing is through negotiation, that some level of negotiation must take place. Research should now examine the influence of time in this critical listing process step with reference to both agent and vendor perspectives using metrics other than perceptions of vendor satisfaction.

Happiness or Addiction

2015 ◽  
Vol 11 (4) ◽  
pp. 26-40 ◽  
Author(s):  
Sen-Chi Yu
Keyword(s):  
Structural Equation Modeling ◽  
University Students ◽  
Internet Addiction ◽  
Structural Equation ◽  
Reliability And Validity ◽  
Psychological Theory ◽  
Equation Modeling ◽  
Psychological Consequences ◽  
Psychological States ◽  
Facebook Use

The psychological consequences of Facebook use remain controversy since most previous studies used vague and non-psychological-theory-driven indicators. To better understand the potential consequences of Facebook use, this study developed the Facebook Psychological Involvement Scale (FPIS).With 682 Taiwanese university students as subjects, this study analysed the reliability and validity of the scale using structural-equation-modeling (SEM). Results showed that FPIS had strong reliability and validity. Besides, the correlations between FPIS and internet addiction/positive-psychological states (PPS) were significantly stronger than those of usage time and number of Facebook friends, indicating that FPIS is a more effective predictor of the psychological consequences of Facebook usage.

scholarly journals Assessment of the impact of bank lending on business entities’ performance using structural equation modeling

2021 ◽  
Vol 16 (2) ◽  
pp. 68-77
Author(s):  
Dinara Kerimkulova ◽  
Minara Nazekova ◽  
Aizada Sovetbekova ◽  
Oleksii Muravskyi ◽  
Galyna Krasovska
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Statistical Significance ◽  
Software Tool ◽  
Bank Lending ◽  
Equation Modeling ◽  
Real Sector ◽  
The Real ◽  
Business Entities ◽  
The Impact

The paper aims to assess the influence of bank lending on the performance of enterprises in the real sector. The relevance of the study for different countries, including Kazakhstan, Kyrgyzstan and Ukraine, is shown. Structural equation modeling of the impact of bank lending on the performance of enterprises in the real sector is carried out using Ukraine as an example. Six key indicators of real sector enterprises’ performance for the period of 2007–2019 were selected as an information basis of the study. To assess the abovementioned impact, structural equation modeling was used, i.e., the Statistica program was selected as a software tool to evaluate the resulting model’s adequacy and determine the level of statistical significance of its parameters. The obtained results prove that the business lending sector in Ukraine has significant potential for its development, which ultimately will have a positive effect on the efficiency of the real sector enterprises. Moreover, adopting a balanced state policy in the sector of corporate bank lending can give impetus to the development of the domestic sector of real production and help Ukrainian enterprises overcome the crisis caused by COVID-19.

Happiness or Addiction

2016 ◽  
pp. 104-116
Author(s):  
Sen-Chi Yu
Keyword(s):  
Structural Equation Modeling ◽  
University Students ◽  
Internet Addiction ◽  
Structural Equation ◽  
Reliability And Validity ◽  
Psychological Theory ◽  
Equation Modeling ◽  
Psychological Consequences ◽  
Psychological States ◽  
Facebook Use

The psychological consequences of Facebook use remain controversy since most previous studies used vague and non-psychological-theory-driven indicators. To better understand the potential consequences of Facebook use, this study developed the Facebook Psychological Involvement Scale (FPIS). With 682 Taiwanese university students as subjects, this study analysed the reliability and validity of the scale using structural-equation-modeling (SEM). Results showed that FPIS had strong reliability and validity. Besides, the correlations between FPIS and internet addiction/positive-psychological states (PPS) were significantly stronger than those of usage time and number of Facebook friends, indicating that FPIS is a more effective predictor of the psychological consequences of Facebook usage.

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.

Celebrity Worship Among University Students in Malaysia

2011 ◽  
Vol 16 (4) ◽  
pp. 334-342 ◽  
Author(s):  
Viren Swami ◽  
Tomas Chamorro-Premuzic ◽  
Khairul Mastor ◽  
Fatin Hazwani Siran ◽  
Mohammad Mohsein Mohammad Said ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Attitude Scale ◽  
Equation Modeling ◽  
Future Research ◽  
The West ◽  
Factor Solution ◽  
Movie Stars ◽  
Three Factor

The present study examined conceptual issues surrounding celebrity worship in a Malay-speaking population. In total, 512 Malay and 269 Chinese participants from Malaysia indicated who their favorite celebrity was and completed the Celebrity Attitude Scale (CAS) as well as a range of demographic items. Results showed that the majority of Malay and Chinese participants selected pop stars and movie stars as their favourite celebrities, mirroring findings in Western settings. In addition, exploratory factor analysis revealed a three-factor solution of the CAS that was consistent with previous studies conducted in the West. Structural equation modeling further revealed that participant’s age was negatively associated with celebrity worship and that self-rated attractiveness was positively associated with celebrity worship. Overall, the present results suggest that celebrity worship in Malaysia may be driven by market and media forces, and future research may well be guided by use of the CAS.

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