QMT533 Assignment 1: Variable Types

Assalamualaikum, objektif assignment 1 adalah seperti berikut:

1. Memperkenalkan kepada pelajar jenis-jenis variable dan kegunaannya
2. Mencari research paper yang menggunakan jenis-jenis variable tertentu dalam kajian
3. Mendedahkan kepada pelajar kegunaan perisian Mendeley

Terdapat pelbagai jenis variable yang digunakan dalam kajian (rujuk sini). Namun terdapat juga variable yang sama. Contoh: 

Binary variable atau juga dikenali dengan nama Dichotomus variable, dan Continous variable atau juga dinamakan Interval variable.

Assignment 1:

• Pelajar dikehendaki untuk mencari definasi jenis variable yang dikehendaki. Contoh: Moderating variable. Sumber mestilah daripada (1) Buku, (2) Artikel.
• Pelajar diminta untuk mencari 2 research artikel yang menggunakan jenis variable yang dipilih.
• Menghasilkan 1 slide power point untuk membentangkan perkara-perkara diatas (definasi dan kegunaan dalam research artikel).

Contoh:

Step 1: Pilih satu (1) variable yang ingin dikaji. Contoh: Moderating variable

Step 2: Mencari definasi Moderating variable.

ada dua (2) kaedah pencarian: (1) Dapatkan buku di perpustakaan, (2) Buku atas talian.

Saya memilih Buku "Essential Research Methods for Social Work" sebagai bahan rujukan.

Definasi: 

Moderating variables are those that are not influenced by the independent variable, but that can affect the relationship between the independent and dependent variables.

Sumber: 

Rubin, A., & Babbie, E. R. (2009). Essential research methods for social work. Retrieved from https://books.google.com.my/books?id=cO8lh0omJtMC&lpg=PA68&dq=moderating%20variable&pg=PA68#v=onepage&q=moderating%20variable&f=false

Step 3: Mencari dua (2) research artikel yang menggunakan Moderating variable

Pencarian menggunakan perisian Mendeley

Dua artikel diperolehi:

1. Ling, C. Y. (2013). Consumers’ purchase intention of green products: an investigation of the drivers and moderating variable. Elixir Marketing Mgmt. 5, 57(A), 14503–14509. Retrieved from http://www.elixirpublishers.com/articles/1367043926_57A (2013) 14503-14509.pdf
   
   
2. Cambra-Fierro, J., Berbel-Pineda, J. M., Ruiz-Benítez, R., & Vázquez-Carrasco, R. (2013). Analysis of the moderating role of the gender variable in service recovery processes. Journal of Retailing and Consumer Services, 20(4), 408–418. http://doi.org/10.1016/j.jretconser.2012.11.008

Hasil pembacaan daripada artikel 1:

• Author: Ling, Chan Yew
• Tajuk: Consumers’ purchase intention of green products: an investigation of the drivers and moderating variable
• Objektif kajian: To examine drivers and its moderating variable that influencing consumers’ purchase intention on green personal care products
• Methodology: Multiple regression analysis and Hierarchical regression analysis
• Variable used:
• Dependent variable: purchase intention
• Indepedent variable: drivers
• Moderating variable: willingness of consumers to pay more on green personal care products
• Result: The willingness of consumers to pay for the price gap between green and non-green products was found moderated the relationship of the environmental attitudes and the purchase intention. In short, the outcomes of the study provide valuable insight to all that interested parties to know the drivers that able to motivate the change of behavior of the consumer in making their purchases on green personal care products

Hasil pembacaan daripada artikel 2:

• Author: Cambra-Fierro, Jesús Berbel-Pineda, Juan M. Ruiz-Benítez, Rocío Vázquez-Carrasco, Rosario
• Tajuk: Analysis of the moderating role of the gender variable in service recovery processes
• Objektif kajian:
• identify and explore antecedents of perceived satisfaction with service recovery processes as well as analyze links of such satisfaction with loyalty
• study the potential moderating role of the gender variable in service recovery processes
• Methodology: t-test, multi-group analysis
• Variable used:
• Moderating variable: Gender
• Result: gender plays a moderating role with regard to the relationships proposed in service recovery models