Written by Reza Shahrabadi, Akram Karimi-Shahanjarini, Saeed Dashti, Alireza Soltanian, Gholamreza Garmaroudi
Parent Category: Year 2017, Volume 9
Category: Volume 9, Issue 4, April 2017
Introduction: Marriage is a social capital in society, so that makes the behavioral and social stability of parents and children in a generation, productive. Various factors can affect the intention of marriage, including individual, economic, social and cultural factors. The present study aimed to determine predictors of university students' intention to marriage based on the theory of planned behavior (TPB).
Methods: This cross-sectional study was performed among 192 single students (Master and PhD students with five to seven years of dentistry and medicine) in Hamadan, in 2014. The samples in this study were selected through convenient sampling. The data collection tools were demographic and TPB questionnaires. A questionnaire based on the TPB model was used in order to assess attitude toward behavior, subjective norms, perceived behavioral control, and intention. Data were analyzed by using SPSS16 and descriptive indexes, independent-samples t-test, One-way ANOVA and multivariate linear regression at 95% significant level.
Results: The results showed that attitudes toward marriage (β=0.217; p=0.001), subjective norms (β=0.366; p<0.001), and perceived behavioral control (β=0.279; p<0.001) significantly predicted students' intention to marriage. The TPB constructs explained 44% of the variance of intention.
Conclusion: Results indicated that strategies to improve the intention of marriage can include: expression of psychological needs such as having a companion, the importance of responsibility, society attitude of marriage, parents and marriage, the importance of the decision-making power and job position.
Zoom Kobe XIII ZK13Nike
Keywords: Marriage, Students, Single person, Theory of planned behavior
Volume 12, Issue 4, October-December 2020
The worldwide spread of COVID-19 as an emerging, rapidly evolving situation, and the dramatic need of urgent medicine or vaccine, has rapidly brought new hypotheses for pathophysiology and potential medicinal agents to the fore. It is crucial that the research community provide a way to publish this research in a timely manner.
To contribute to this important public health discussion, the Electronic Physician Journal is excited to announce a fast-track procedure to help researchers publish their articles on COVID-19 related subjects that fall under the broad definition of public health, internal medicine, and pharmacology. We are especially welcome to all hypotheses about the pathological basis of the COVID-19 infection and the possible characteristics of potential medicine and vaccine. Submit your manuscript here
The 6th World Conference on Research Integrity (WCRI) is to be held on June 2-5, 2019 in Hong Kong.
The WCRI is the largest and most significant international conference on research integrity. Since the first conference in Lisbon in 2007, it has given researchers, teachers, funding agencies, government officials, journal editors, senior administrators, and research students opportunities to share experiences and to discuss and promote integrity in research. Read more:
TDR Clinical Research and Development Fellowships
Call for applications
Deadline for submission: 7 March 2019, 16:00 (GMT)
TDR provides fellowships for early- to mid-career researchers and clinical trial staff (e.g. clinicians, pharmacists, medical statisticians, data managers, other health researchers) in low- and middle-income countries (LMICs) to learn how to conduct clinical trials. Read more:
Meta-Analysis Workshops in New York, USA, and London, UK, in April and May 2019
Don't miss this exceptional opportunity to learn how to perform and report a Meta-analysis correctly. Two Meta-analysis workshops are organized in April and May 2019 by Dr. Michael Borenstein in New York, USA (April 08-10, 2019) and London, UK (May 27-29).
About the Instructor
Dr. Michael Borenstein, one of the authors of Introduction to Meta-Analysis, is widely recognized for his ability to make statistical concepts accessible to researchers as well as to statisticians. He has lectured widely on meta-analysis, including at the NIH, CDC, and FDA. Read more: