scholarly journals Environmental Correlates of Adolescent’ Materialism: Interpersonal Role Models, Media Exposure, and Family Socio-economic Status

2021 ◽  
Author(s):  
Anna Maria Zawadzka ◽  
Tim Kasser ◽  
Małgorzata Niesiobędzka ◽  
Aleksandra Lewandowska-Walter ◽  
Małgorzata Górnik-Durose
Keyword(s):  
Structural Equation Modeling ◽  
Role Models ◽  
Structural Equation ◽  
Economic Status ◽  
Media Exposure ◽  
Equation Modeling ◽  
Environmental Correlates ◽  
Socio Economic Status ◽  
Family Ses

AbstractThe present study examined how adolescents’ materialism relates to interpersonal materialism role models (i.e., mothers’, fathers’, siblings’, and peers’), media exposure, and family socio-economic status (SES). We obtained our data from the adolescent, his/her mother and father, and one each of his/her siblings and peers. The results showed that mother’s, father’s, sibling’s and peer’s’, materialism are approximately equally strong predictors of adolescents’ materialism. Further analyses, using structural equation modeling, revealed that interpersonal materialism role models and media exposure both positively predicted adolescents’ materialism; in contrast to past literature, family SES was also significantly positively related to adolescents’ materialism. Limitations and implications of the current project are discussed.

scholarly journals “I Want to Be Like You!”: The Influence of Role Models on Entrepreneurial Intention

2018 ◽  
Vol 26 (02) ◽  
pp. 113-153 ◽  
Author(s):  
Katharina Fellnhofer ◽  
Susan Mueller
Keyword(s):  
Structural Equation Modeling ◽  
Significant Influence ◽  
Role Models ◽  
Structural Equation ◽  
Central Element ◽  
Entrepreneurial Intention ◽  
Equation Modeling ◽  
Comprehensive Understanding ◽  
Entrepreneurship Research ◽  
Event Model

Explaining individual’s entrepreneurial intention is a central element in entrepreneurship research. The purpose of this paper is to illustrate that role models have an indirect effect on students’ entrepreneurial intention. We draw on a sample of 266 individuals and apply structural equation modeling. Our results show that role models have a positive and significant influence on entrepreneurial intention via the antecedents described in the theory of planned behavior, the entrepreneurial event model, and the integrated version of these models. With our study, we aim to contribute to a more comprehensive understanding of the path through which role models influence entrepreneurial intention.

scholarly journals Structural Equation Modeling of the Factors Affecting the Nutritional Status of Children Under Five in Banyuwangi Region using Recursive (one-way) GSCA

2015 ◽  
Vol 16 (1) ◽  
pp. 1
Author(s):  
I Made Tirta ◽  
Nawal Ika Susanti ◽  
Yuliani Setia Dewi
Keyword(s):  
Structural Equation Modeling ◽  
Nutritional Status ◽  
Structural Equation ◽  
Economic Status ◽  
Bootstrap Method ◽  
Component Analysis ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Parameter Estimates

Structural Equation Modeling is one among popular multivariate analysis, especially applied in pschology and marketing. There are two main types of Structural Equation Modeling namely covariance-based or CB-SEM and variance-based or Partial Least Square (PLS)- SEM. Both types have advantages and disadvantage. To overcome its limitation, Generalized Structured Component Analysis (GSCA) was then proposed as an extension of PLS-SEM. In estimating the parameters, GSCA uses Alternating Least Squares (ALS) and in estimating the standard error of the parameter estimates it uses the bootstrap method. In this paper, GSCA is applied to study the causality model of Infant nutritional status, in relation with socio-economic status and infantcare status in Banyuwangi Region. The results show that both socio-economic and infantcare status have significant positive influence on infant nutritional status.Keywords:  Alternating least square, generalized structural component analysis,  nutritional status of infants,  structural equation modelling

scholarly journals Structural equation modeling analysis of Iranian women’s food consumption: influence of socio-demographic characteristics and the Information, Motivation, and Behavioral skills Model

2020 ◽  
Vol 33 ◽  
Author(s):  
Maryam MOHAMMADI-NASRABADI ◽  
Roya SADEGHI ◽  
Abbas RAHIMI-FORUSHANI ◽  
Fatemeh MOHAMMADI-NASRABADI ◽  
Davoud SHOJAEIZADE ◽  
...  
Keyword(s):  
Social Support ◽  
Structural Equation ◽  
Economic Status ◽  
Fats And Oils ◽  
Equation Modeling ◽  
Processed Meat ◽  
Behavioral Skills ◽  
Socio Economic Status ◽  
Model Components ◽  
Red And Processed Meat

ABSTRACT Objective This study aimed at examining whether food consumption varies in accordance with socio-demographic and behavioral factors in the conceptual model, analyzing adult women in Tehran, Iran, for that purpose. Methods This cross-sectional study was conducted with 247 women in childbearing age, who were selected through systematic cluster sampling from five regions in Tehran. Dietary assessment was done through a Food Frequency Questionnaire, and the anthropometric indices were measured. Data on socio-economic status and information-motivation-behavioral skills model were obtained through a questionnaire. Then, subjects were stratified according to the socio-economic status and model components. Statistical analysis was done using analysis of variance and structural equation modeling. Results Consumption of food groups among the participating women differed based on their living region, education, occupation, household expenditure, and model components (p<0.05). Intake of red and processed meat (p<0.05) was at the lowest level in illiterate or low educated women. Those with lower total expenditure had higher consumption of fats and oils (p<0.05). Women with higher perceived social support consumed more milk and dairy products (p<0.05), fats and oils (p<0.05), and less bread and cereals (p<0.05). Model components including information, attitude, social support, self-efficacy, and self-regulation were the most important factors negatively affecting the consumption of unhealthy foods (red and processed meat, fats and oils, sugar, and salty foods). Conclusion Considering the impact of model components on women’s eating behaviors, the specific integration strategies delineated for each construct of the model can be utilized to design model-based interventions targeting the promotion of healthy nutritional behavior.

Demand-side analysis of measuring financial inclusion

2019 ◽  
Vol 19 (1) ◽  
pp. 1-24 ◽  
Author(s):  
Prabhakar Nandru ◽  
Satyanarayana Rentala
Keyword(s):  
Factor Analysis ◽  
Financial Services ◽  
Structural Equation ◽  
Economic Status ◽  
Financial Inclusion ◽  
Equation Modeling ◽  
Demand Side ◽  
Content Type ◽  
Socio Economic Status ◽  
The Impact

Purpose The purpose of this paper is to measure the financial inclusion dimensions from the perspective of beneficiaries (demand-side).This research additionally attempts to assess the impact of financial inclusion on socio-economic status of primitive tribal groups (PTGs) in India. Design/methodology/approach Using an exploratory factor analysis, the financial inclusion dimensions are identified for a sample of 520 families belonging to PTGs in India. In the next step, reliability and validity test were used to establish the financial inclusion dimensions and socio-economic status factors through confirmatory factor analysis using analysis of moment structures. Finally, structural equation modeling (SEM) had been applied for testing the hypothetical relationships. Findings The study documented five-dimensions of measuring financial inclusion from demand side perspective. The dimensions are as follows: physical proximity, availability, ease of access, affordability and usage. It was found that these factors represent the various dimensions of financial inclusion, which has a significant impact on socio-economic status of the beneficiaries. Research limitations/implications The research results focus on dimensions of financial inclusion, which have an impact on the socio-economic status among the most PTGs in India. The research offers ideas to policymakers to outline strategies to enhance the access to and usage of financial services. Originality/value The present research is one of the first few studies that present the demand-side perspective to assess the financial inclusion dimensions of the “financially most excluded” groups – PTGs in India using a SEM approach.

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.

Successful Entrepreneurship as Developmental Outcome

2011 ◽  
Vol 16 (3) ◽  
pp. 174-186 ◽  
Author(s):  
Martin Obschonka ◽  
Rainer K. Silbereisen ◽  
Eva Schmitt-Rodermund
Keyword(s):  
Big Five ◽  
Role Models ◽  
Structural Equation ◽  
Current Data ◽  
Equation Modeling ◽  
Authoritative Parenting ◽  
Venture Creation ◽  
Entrepreneurial Success ◽  
Entrepreneurial Skills ◽  
Age Appropriate

Applying a lifespan approach of human development, this study examined pathways to entrepreneurial success by analyzing retrospective and current data. Along the lines of McClelland’s ideas of early entrepreneurship development and Rauch and Frese’s Giessen-Amsterdam model on venture success, we investigated the roles of founders’ adolescent years (early role models, authoritative parenting, and early entrepreneurial competence), personality traits (Big Five pattern), and entrepreneurial skills and growth goals during venture creation. Findings were derived from structural equation modeling studying two comparable samples of founders (N = 531) and nascent founders (N = 100) from Germany. Across both samples, reports on age-appropriate entrepreneurial competence in adolescence and an entrepreneurial Big Five profile predicted entrepreneurial skills during venture creation, which in turn predicted founders’ setting of ambitious growth goals and entrepreneurial success. Early entrepreneurial competence was related to the availability of entrepreneurial role models and authoritative parenting during adolescence as well as to an entrepreneurial Big Five profile. In line with prospective reports on early precursors of entrepreneurship, the findings illuminate the development of entrepreneurship in general and entrepreneurial success in particular over the lifespan, especially with regard to factors relevant in the adolescent years and the interplay with personality across different developmental periods.

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.

Further Insights Into the German Version of the Multidimensional Assessment of Interoceptive Awareness (MAIA)

2019 ◽  
Vol 35 (3) ◽  
pp. 317-325 ◽  
Author(s):  
Dorota Reis
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Equation Modeling ◽  
Interoceptive Awareness ◽  
Multidimensional Assessment ◽  
New Instrument ◽  
Confirmatory Factor ◽  
Complex Models ◽  
Approximate Zero ◽  
Bayesian Structural Equation Modeling

Abstract. Interoception is defined as an iterative process that refers to receiving, accessing, appraising, and responding to body sensations. Recently, following an extensive process of development, Mehling and colleagues (2012) proposed a new instrument, the Multidimensional Assessment of Interoceptive Awareness (MAIA), which captures these different aspects of interoception with eight subscales. The aim of this study was to reexamine the dimensionality of the MAIA by applying maximum likelihood confirmatory factor analysis (ML-CFA), exploratory structural equation modeling (ESEM), and Bayesian structural equation modeling (BSEM). ML-CFA, ESEM, and BSEM were examined in a sample of 320 German adults. ML-CFA showed a poor fit to the data. ESEM yielded a better fit and contained numerous significant cross-loadings, of which one was substantial (≥ .30). The BSEM model with approximate zero informative priors yielded an excellent fit and confirmed the substantial cross-loading found in ESEM. The study demonstrates that ESEM and BSEM are flexible techniques that can be used to improve our understanding of multidimensional constructs. In addition, BSEM can be seen as less exploratory than ESEM and it might also be used to overcome potential limitations of ESEM with regard to more complex models relative to the sample size.

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