Researches conducted in social sciences require different statistical techniques in order to interpret the quantitative data gathered from sample. The selection of the techniques heavily depends upon nature of data and researcher’s own capability, preference, understanding and availability of statistical techniques. Structural Equation Modeling (SEM) is one of the basic techniques also being widely used by researchers now days. The determination of this study is to give an overview of rudimentary concepts and issues related to SEM in social sciences. It is concluded after extensive literature search related to SEM that it is just like bond for the social science researcher in available statistical techniques like multivariate analysis including multiple regression in which checking effect by multiple variables in a model simultaneously. There is no plentiful work related to critiques on SEM in social sciences. This study fills gap by describing the basic concepts of SEM at one platform and more specifically it gives a holistic view to use SEM more effectively for social science researchers.
Ahmad, N., Abbas, A., Iqbal, N., & Ullah, H. (2014). Effect of dividend announcement on stock prices in banking industry of Pakistan. International Letters of Social and Humanistic Sciences(35), 15-25.
Ahmad, N., Iqbal, N., Kanwal, R., Javed, H., & Javed, K. (2014). The mediating role of employee engagement in relationship of internal branding and brand experience: Case of service organizations of Dera Ghazi Khan. International Journal of Information, Business and Management, 6(4), 26-41.
Ahmad, N., Yousuf, M., Shabeer, K., & Imran, M. (2014). A Comprehensive Model on Consumer’s Purchase Intention towards Counterfeit Mobiles in Pakistan. Journal of Applied Science Research, 4(5), 131-140.
Ahmed, N., Farooq, O., & Iqbal, J. (2014). The Relationship among Vanity Trait, Shopping Values & Compulsive Buying: An Evidence from University Shoppers. European Journal of Business and Management, 6(28).
Ahmed, N., Khattak, A. K., Iqbal, N., Farooq, O., & Iqbal, J. (2014). Role of celebrity endorsement upon consumer vanity with mediating role of materialism: Evidence from business students of Pakistan. Journal of Business and Management Research, 4, 98-107.
Bacon, L. D., & Bacon, L. (1997). Using Amos for structural equation modeling in market research: Lynd Bacon & Associates Limited and SPSS Incorporated.
Bansal, R., Dadhich, V., & Ahmad, N. (2014). Indian Commodity Market–A Performance Review. International Research Journal of Management and Commerce.
Barry J. Babin , & Svensson., G. (2012). Structural equation modeling in social science research. European Business Review, 24(4), 320-330.
Fried, E. I., Nesse, R. M., Zivin, K., Guille, C., & Sen, S. (2014). Depression is more than the sum score of its parts: individual DSM symptoms have different risk factors. Psychological medicine, 44(10), 2067-2076.
Greenwald, A. G., Pratkanis, A. R., Leippe, M. R., & Baumgardner, M. H. (1986). Under what conditions does theory obstruct research progress? Psychological review, 93(2), 216.
Haider, N., Ahmad, N., Farooq, O., Rasheed, I., & Parveen, S. (2014). The role of organizational resources and environment in Organizational performance and customer loyalty; service climate as mediator: A Study of Telecommunication Sector of Pakistan. Journal of Business and Management Research.
Haider, Z., Ahmad, N., Anwar, S., & Iqbal, N. (2014). Impact of foreign direct investment (FDI) on GDP: A Case study from Pakistan. International Letters of Social and Humanistic Sciences(16), 73-80.
Hair, J., Black, W., Babin, B., Anderson, R., Tatham, R., Hair, J., . . . Tatham, R. (2006). SEM: confirmatory factor analysis. Multivariate data analysis, 6, 770-842.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis (Vol. 6): Pearson Prentice Hall Upper Saddle River, NJ.
He, F., Cao, R., Feng, Z., Guan, H., & Peng, J. (2013). The impacts of dispositional optimism and psychological resilience on the subjective well-being of burn patients: A structural equation modelling analysis. PloS one, 8(12), e82939.
Hershberger, S. L. (2003). The growth of structural equation modeling: 1994-2001. Structural Equation Modeling, 10(1), 35-46.
Hox, J., & Bechger, T. (1998). An introduction to structural equation modelling. Family Science Review, 11(354-373).
Iqbal, J., Farooq, O., & Ahmad, N. (2014). Credibility of Celebrity Endorsement and Buying Intentions an Evidence from Students of Islamabad, Pakistan. International Letters of Social and Humanistic Sciences(20), 1-13.
Iqbal, N., Ahmad, N., & Kanwal, M. (2013). Impact of Corporate Social Responsibility on Profitability of Islamic and Conventional Financial Institutions. Applied mathematics in Engineering, Management and Technology, 1(2), 26-37.
Iqbal, S., Ahmad, N., Iqbal, N., & Ahmad, N. (2014). Postponable Purchasing of Confused Consumer; The Moderating Role of Perceived Risk And Income Between Consumer Confusion Proneness & Decision Postponement. International journal of Techno-Management Research, 2(3).
Jöreskog, K. G. (1976). Structural equation models in the social sciences: Specification, estimation and testing: Department of Statistics, University of Uppsala.
Kaplan, D. (2008). Structural equation modeling: Foundations and extensions (Vol. 10): Sage Publications.
Lester, B. M., Hawes, K., Abar, B., Sullivan, M., Miller, R., Bigsby, R., . . . Lagasse, L. L. (2014). Single-family room care and neurobehavioral and medical outcomes in preterm infants. Pediatrics, 134(4), 754-760.
Little, T. D., Card, N. A., Bovaird, J. A., Preacher, K. J., & Crandall, C. S. (2007). Structural equation modeling of mediation and moderation with contextual factors. Modeling contextual effects in longitudinal studies, 1.
MacCallum, R. C., & Austin, J. T. (2000). Applications of structural equation modeling in psychological research. Annual review of psychology, 51(1), 201-226.
MacCallum, R. C., Widaman, K. F., Zhang, S., & Hong, S. (1999). Sample size in factor analysis. Psychological methods, 4(1), 84.
Matsueda, R. L. (2011). KEY ADVANCES IN THE HISTORY OF STRUCTURAL EQUATION MODELING Handbook of Structural Equation Modeling. Center for Statistics and the Social Sciences , University of Washington. New York.
Network, N. E. C. C. R. (2016). Child-care structure? process? outcome: Direct and indirect effects of child-care quality on young children's development. Psychological Science.
Rahman, W., Shah, F. A., & Rasli, A. (2015). Use of Structural Equation Modeling in Social Science Research. Asian Social Science, 11(4), 371-377.
Riaz, Z., Ahmad, N., & Iqbal, N. (2014). The relationship between working capital management and profitability: Evidence from Pakistan. International Letters of Social and Humanistic Sciences(20), 14-25.
Sheeraz, M., Iqbal, N., & Ahmed, N. (2012). Impact of Brand Credibility and Consumer Values on Consumer Purchase Intentions in Pakistan. International Journal of Academic Research in Business and Social Sciences, 2(8), 1.
Stapleton, L. M. (2011). Structural Equation Modeling: Foundations and Extensions. Structural Equation Modeling: A Multidisciplinary Journal, 18(3), 492-496.
Tasneem, S., Farooq, M. A., Iqbal, N., Haider, N., & Ahmad, N. (2015). Role and Responsibility Process Model. Journal of Business and Management Research, 7(162-166).
Tourangeau, A. E., Giovannetti, P., Tu, J. V., & Wood, M. (2016). Nursing-related determinants of 30-day mortality for hospitalized patients. Canadian Journal of Nursing Research Archive, 33(4).
Yan, W., Zhu, Y., & Ahmad, N. (2016). Theory of Inventive Problem Solving (TRIZ) based contradiction resolution strategies for Shaanxi Aviation Industrial Upgrading. Paper presented at the Industrial Engineering and Engineering Management (IEEM), 2016 IEEE International Conference on.
Shaheen, F., Ahmad, N., Waqas, M., Waheed, A., & Farooq, O. (2017). Structural Equation Modeling (SEM) in Social Sciences & Medical Research: A Guide for Improved Analysis. International Journal of Academic Research in Business and Social Sciences, 7(5), 122-132.
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