scholarly journals The reasoned action approach applied to health behavior: Role of past behavior and test of some key moderators using meta-analytic structural equation modeling

2018 ◽  
Author(s):  
Martin S Hagger ◽  
Juho Polet ◽  
Taru Lintunen
Keyword(s):  
Structural Equation Modeling ◽  
Health Behavior ◽  
Indirect Effects ◽  
Structural Equation ◽  
Social Cognitive ◽  
Reasoned Action ◽  
Equation Modeling ◽  
Reasoned Action Approach ◽  
Data Set ◽  
Past Behavior

Rationale: The reasoned action approach (RAA) is a social cognitive model that outlines the determinants of intentional behavior. Primary and meta-analytic studies support RAA predictions in multiple health behaviors. However, including past behavior as a predictor in the RAA may attenuate model effects. Direct effects of past behavior on behavior may reflect non-conscious processes while indirect effects of past behavior through social cognitive variables may represent reasoned processes. Objective: The present study extended a previous meta-analysis of the RAA by including effects of past behavior. The analysis also tested effects of candidate moderators of model predictions: behavioral frequency, behavior type, and measurement lag.Method: We augmented a previous meta-analytic data set with correlations between model constructs and past behavior. We tested RAA models that included and excluded past behavior using meta-analytic structural equation modeling and compared the effects. Separate models were estimated in studies on high and low frequency behaviors, studies on different types of behavior, and studies with longer and shorter measurement lag.Results: Including past behavior attenuated model effects, particularly the direct effect of intentions on behavior, and indirect effects of experiential attitudes, descriptive norms, and capacity on behavior through intentions. Moderator analyses revealed larger intention-behavior and past behavior-behavior effects in high frequency studies, but the differences were not significant. No other notable moderator effects were observed.Conclusion: Findings indicate a prominent role for habitual processes in determining health behavior and inclusion of past behavior in RAA tests is important to yield precise estimates of model effects.

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.

scholarly journals Theory of Reasoned Action dan Literasi Teknologi terhadap Adaptasi Perubahan Teknologi

2021 ◽  
Vol 11 (1) ◽  
pp. 51-61
Author(s):  
Amelia Setiawan ◽  
Hamfri Djajadikerta ◽  
Haryanto Haryanto ◽  
Samuel Wirawan
Keyword(s):  
Information Technology ◽  
Structural Equation ◽  
Theory Of Reasoned Action ◽  
Reasoned Action ◽  
Human Life ◽  
Employee Attitudes ◽  
Technology Literacy ◽  
Equation Modeling ◽  
Reasoned Action Approach ◽  
Older Employees

One of the company's goals is business continuity. Companies can maintain their survival if supported by human resources who are also ready to follow the demands of changes in their environment. The COVID-19 pandemic is bringing very significant changes in human life today. This study aims to identify the influence of employee profiles and attitudes, subjective norms and information technology literacy on the willingness to adapt to the necessity of using information technology, especially during this pandemic time. This study uses the Theory of Reasoned Action approach as a theoretical basis, electronic questionnaires as a data collection method, and structural equation modeling to observe causal relationships between variables. The results of this study found that the model in this study had met the criteria for the model-fit test, and the only variable affecting employee attitudes was age. Subjective norm variables and information technology literacy have affected employees' intentions to adapt to information technology. The results of this study can be used by companies to design training programs that aim to improve information technology literacy and skills, especially for older employees.

scholarly journals The Influence of Leader Encouragement of Creativity on Innovation Speed: Findings from SEM and fsQCA

2019 ◽  
Vol 11 (9) ◽  
pp. 2693 ◽  
Author(s):  
Cong Cheng ◽  
Liebing Cao ◽  
Huihui Zhong ◽  
Yining He ◽  
Jiahong Qian
Keyword(s):  
Structural Equation Modeling ◽  
Qualitative Analysis ◽  
Fuzzy Set ◽  
Creative Process ◽  
Structural Equation ◽  
Sem Analysis ◽  
Equation Modeling ◽  
Organizational Ambidexterity ◽  
Data Set ◽  
The Impact

Adopting the empowerment perspective of leadership, this study proposes and examines the mediating model that leader encouragement of creativity affects innovation speed through strengthening employees’ engagement in the creative process. Using a sample of 245 participants in China, the results from structural equation modeling (SEM) suggest that the impact of leader encouragement of creativity on innovation speed is significantly mediated by creative process engagement, and positively moderated by organizational ambidexterity at the same time. Additionally, the results from fuzzy-set comparative qualitative analysis (fsQCA) with the same data set reveal that the aforementioned factors have a holistic effect on enhancing innovation speed. The results of fsQCA reinforce and refine the findings of the SEM analysis concerning the limits and conditions for how leader encouragement of creativity affects innovation speed.

A Comparison of Accuracy Based on Data Imputation between Unconstrained Structural Equation Modeling and Weighted Least Squares Regression

2011 ◽  
Vol 130-134 ◽  
pp. 730-733
Author(s):  
Narong Phothi ◽  
Somchai Prakancharoen
Keyword(s):  
Structural Equation Modeling ◽  
Least Squares ◽  
Structural Equation ◽  
Weighted Least Squares ◽  
Equation Modeling ◽  
Data Imputation ◽  
Least Squares Regression ◽  
Waveform Generator ◽  
Data Set ◽  
Testing Group

This research proposed a comparison of accuracy based on data imputation between unconstrained structural equation modeling (Uncon-SEM) and weighted least squares (WLS) regression. This model is developed by University of California, Irvine (UCI) and measured using the mean magnitude of relative error (MMRE). Experimental data set is created using the waveform generator that contained 21 indicators (1,200 samples) and divided into two groups (1,000 for training and 200 for testing groups). In fact, training group was analyzed by three main factors (F1, F2, and F3) for creating the models. The result of the experiment show MMRE of Uncon-SEM method based on the testing group is 34.29% (accuracy is 65.71%). In contrast, WLS method produces MMRE for testing group is 55.54% (accuracy is 44.46%). So, Uncon-SEM is high accuracy and MMRE than WLS method that is 21.25%.

scholarly journals Longitudinal stability and interrelations between health behavior and subjective well-being in a follow-up of nine years

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0259280
Author(s):  
Säde Stenlund ◽  
Niina Junttila ◽  
Heli Koivumaa-Honkanen ◽  
Lauri Sillanmäki ◽  
David Stenlund ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Health Behavior ◽  
Health Behaviors ◽  
Structural Equation ◽  
Well Being ◽  
Equation Modeling ◽  
Subjective Well Being ◽  
Cross Sectional ◽  
The Cross

Background The bidirectional relationship between health behavior and subjective well-being has previously been studied sparsely, and mainly for individual health behaviors and regression models. In the present study, we deepen this knowledge focusing on the four principal health behaviors and using structural equation modeling with selected covariates. Methods The follow-up data (n = 11,804) was derived from a population-based random sample of working-age Finns from two waves (2003 and 2012) of the Health and Social Support (HeSSup) postal survey. Structural equation modeling was used to study the cross-sectional, cross-lagged, and longitudinal relationships between the four principal health behaviors and subjective well-being at baseline and after the nine-year follow-up adjusted for age, gender, education, and self-reported diseases. The included health behaviors were physical activity, dietary habits, alcohol consumption, and smoking status. Subjective well-being was measured through four items comprising happiness, interest, and ease in life, and perceived loneliness. Results Bidirectionally, only health behavior in 2003 predicted subjective well-being in 2012, whereas subjective well-being in 2003 did not predict health behavior in 2012. In addition, the cross-sectional interactions in 2003 and in 2012 between health behavior and subjective well-being were statistically significant. The baseline levels predicted their respective follow-up levels, the effect being stronger in health behavior than in subjective well-being. Conclusion The four principal health behaviors together predict subsequent subjective well-being after an extensive follow-up. Although not particularly strong, the results could still be used for motivation for health behavior change, because of the beneficial effects of health behavior on subjective well-being.

scholarly journals Investigating Associated Factors with Glomerular Filtration Rate : Structural Equation Modeling

2019 ◽  
Author(s):  
Parastoo Jamshidi ◽  
Farid Najafi ◽  
Shayan Mostafaee ◽  
Ebrahem Shakiba ◽  
yahya pasdar ◽  
...  
Keyword(s):  
Risk Factors ◽  
Glomerular Filtration Rate ◽  
Structural Equation Modeling ◽  
Indirect Effects ◽  
Structural Equation ◽  
Associated Factors ◽  
Filtration Rate ◽  
Equation Modeling ◽  
Direct And Indirect Effects ◽  
Male And Female

Abstract Background: Glomerular Filtration Rate (GFR) is a valid indicator for kidney function, both in healthy and diseased people. Different factors can affect GFR. The purpose of this study is to assess a causal model to show direct and indirect effects of GFR-related factors using structural equation modeling. Patients and methods : We analyzed data from recruitment phase of Ravansar Non-Communicable Disease cohort study. Data on socio-behavioral, nutritional, cardiovascular, and metabolic risk factors were entered in a conceptual model in order to test direct and indirect effects of the associated factors on GFR, separately in male and female, using the structural equation modeling. Results : Of 8927 individuals participated in this study, 4212 subjects were male (47.2%) and 4715 subjects were female (52.8%). The obtained standard deviation of GFR was 76.05 (±14.3) per 1.73 . Filtration rate for 11.52%, 72.96% and 15.50% of people were <60, and , respectively. Hypertension in both gender and atherogenic factor in male directly, and in female directly and indirectly had a decreasing effect on GFR. Blood Urea Nitrogen (BUN) and smoking in male and female, directly or indirectly through other variables, was associated with a decrease in GFR. In female, diabetes had a decreasing direct and indirect effect on GFR. Obesity in female was directly associated with increasing and indirectly associated with decreasing filtration. Conclusion : According to our results, increasing age, hypertension, diabetes, obesity and high blood lipids, and BUN had a decreasing direct and indirect effects on GFR. Although low GFR might have different reasons and it is not a consistent sign of CKD, our findings, in line with other reports, provide more detailed informations about important risk factors of low GFR. Public awareness about such factors can improve public practice of positive health behaviours.

scholarly journals Discoveries and novel insights in ecology using structural equation modeling

2019 ◽  
Vol 12 ◽  
Author(s):  
Daniel Laughlin ◽  
James Grace
Keyword(s):  
Structural Equation Modeling ◽  
Quantitative Analysis ◽  
Indirect Effects ◽  
Structural Equation ◽  
Data Science ◽  
Positive Response ◽  
Major Elements ◽  
Equation Modeling

As we enter the era of data science (Lortie 2018), quantitative analysis methodologies are proliferating rapidly, leaving ecologists with the task of choosing among many alternatives. The use of structural equation modeling (SEM) by ecologists has increased in recent years, prompting us to ask users questions about their experience with the methodology. Responses indicate an enthusiastic endorsement of SEM. Two major elements of respondent’s experiences seem to contribute to their positive response, (1) a sense that they are obtaining more accurate explanatory understanding through the use of SEM and (2) excitement generated by the discovery of novel insights into their systems. We elaborate here on the detection of indirect effects, offsetting effects, and suppressed effects, and demonstrate how discovering these effects can advance ecology.

scholarly journals Structural Model of Students’ Interest and Self-Motivation to Learning Mathematics

2018 ◽  
Vol 2018 ◽  
pp. 1-10
Author(s):  
Dominic Otoo ◽  
Wahab A. Iddrisu ◽  
Justice A. Kessie ◽  
Ernest Larbi
Keyword(s):  
Structural Equation Modeling ◽  
Direct Effect ◽  
Indirect Effects ◽  
Mathematics Anxiety ◽  
Structural Equation ◽  
Direct Relationship ◽  
Structural Model ◽  
Equation Modeling ◽  
Learning Mathematics ◽  
Attitude Towards Mathematics

Students pick up the perception that mathematics is abstract and therefore, the learning of mathematics would yield to them no benefit. With their attitude towards mathematics modelled and their interest for mathematics impacted by this automatic generated perception, they may never again appreciate the beauty of mathematics. In this paper, the researchers used structural equation modeling (SEM), to investigate the variables that affect students’ interest, among the variables, students’ confidence and motivation. The foregoing variables were conceptualized to have a direct effect on students’ interest in mathematics, whilst mathematics anxiety and students’ knowledge of the usefulness of mathematics were conceptualized to have indirect effects on their interest in mathematics moderated by students’ confidence and motivation. The result showed that significantly students’ confidence directly affects students’ interest in the learning of mathematics and there is a direct relationship between confidence and motivation. A student’s knowledge about the usefulness of mathematics indirectly increases the student’s interest in mathematics.

Sign in / Sign up

Export Citation Format

Share Document