Please refer to the attached file.

TA:        Maggie Lee (Email: maggie13dog@gmail.com)

CAA:      Dinh (Email: dinhcongminh.100194@gmail.com)

Evaluation Criteria:

1. Final Presentation & Report      40%


2. Exam                                         30%


3. Individual Assignment              10%


4. Group Assignment                    10%


5. Attendance & Participation       10%

    -----------------------------------------------

      TOTAL                                              100%

Academic Policy:

• Please note that the absence of two or more classes will lead to an automatic failure (F) for this course and will be required to take this course again later. In case of an unavoidable absence, please let me know in advance. An excused absence will be evaluated on a case-by-case basis (e.g., sick leaves will be accepted as an excused absence when official documents from a hospital are submitted).


• Being late is considered unacceptable because it interferes with the learning environment for others.


• I am happy to assist students with disabilities. Please talk to me in case you need any assistance.


• Any kind of academic dishonesty will lead to a failing grade (e.g., cheating, misrepresenting, and plagiarism). Please make sure to cite and acknowledge all sources in order to avoid any unintentional plagiarism. There is NO tolerance for academic dishonesty!


• If you are willing to communicate with me, please feel free to contact me at any time. Lastly, let us enjoy this semester!! ^^

A. Main textbook (Required):

Cleff, T. (2019). Applied statistics and multivariate data analysis for business and

economics. (A Modern Approach Using SPSS, Stata, and Excel) Springer International Publishing.

Available from NCCU library: https://link.springer.com/book/10.1007/978-3-030-17767-6

B. Other references:

Extra Reading #1: Stockemer, D., Stockemer, & Glaeser. (2019). Quantitative methods for the social sciences (Vol. 50). Springer International Publishing.

Available from NCCU library: https://link.springer.com/book/10.1007/978-3-319-99118-4

Extra Reading #2: Sreejesh S., Mohapatra S., & Anusree M. R. (2014). Binary logistic regression (Ch11). In Business Research Methods. Springer, Cham.

Available from NCCU library: https://doi.org/10.1007/978-3-319-00539-3_11

Extra Reading #3: 胡昌亞、楊文芬、游琇婷、黃瑞傑、鄭瑩妮、王豫萱、陳怡靜、林義挺、陳燕諭、范思美、黃柏僩（2022）。胡唱亞用JASP 完成論文分析與寫作。五南。