SYLLABUS
FACULTY ECONOMIC AND BUSINESS
INTERNATIONAL PROGRAM FOR ISLAMIC ECONOMICS AND FINANCE (IPIEF)
1 Name of Course / Module Quantitative Research
2 Course Code EI8479
3 Credit Value 3 credit hours
4 Objective
This course is involves the basics of conducting quantitative economic analysis. This includes basic concepts and methods of data analysis and research.
Students will examine economic data using spreadsheets and perhaps other statistical software.
5 Learning Outcomes
1. Students could be able to use and measure using quantitative methods for economic analysis.
2. Student able to delivering the economics point of view into written and oral, hence, the students are able to utilize several statistical software to facilitate the works for economic analysis
6 Synopsis
Quantitative discusses how to carried out quantitative methodology, start to prepare the proposal, analyze the data and read the analysis result using different statistical tools, include SPSS, Eviews and Stata. This subject discover several kind of statistical analysis based on different type and scale of economic data.
7 References
1. O’Rourke, N., Hatcher, L., Stepanski, E.J. 2005. A step-by-step approach to using SAS for univariate and multivariate statistics. Second edition. Cary, NC:
SAS Institute Inc [OHS]
2. Hesketh, S.R., Everitt, B. 2000. A Handbook of Statistical Analyses using Stata. Second Edition.
Chapman& Hall/CRC [HE]
3. Kuncoro, Mudrajat. 2011. Metode Kuantitatif. 4tth Ed. UPP STIM YKPN [KM]
4. Teguh, Muhammad. 2014. Metode Kuantitatif untuk analisis ekonomi dan bisnis. RajaGrafindo Persada [TM]
5. Journals
8 Lecturer Diah Setyawati Dewanti, SE., M.Sc., Ph.D
9 Correspondence
Lecturer Room, E4 Building 2nd Floor
Email: [email protected] / [email protected] WA/Line/Cellphone: +6282133691838
10 Consultation time By appointment
11 Academic Evaluation
Competency Test 1-4 : 80%
E-learning : 10% ; Group participation : 10%
TOTAL 100%
COURSE OUTLINE
Meetings Course Material Material
Readings 1 Introduction: Study Plan
2 Introduction: How to make Research Questions, Research Objectives and ideal Conceptual Framework
[KM 1,2] journals 3
4 Statistics and Data (Quanti vs Qualitative) and the analysis tools for Economics
[KM 3] journals 5 Competency Test 1
6 Introduction to Stata – another statistical tools of Eviews and SPSS
[TM 1,2]
7 - Working in commands, do-files and result for Stata
- Data selection for Descriptive analysis and data selection (pre-analysis)
[TM 1,2] [HE 2]
8 Quality of data analysis (Normality, Multicol, Heteroscedasticity)
JOURNALS
9 Validity and Reliability [TM 3,4] [OHS 7]
10 Competency test 2
11 T-Test, Anova, Manova analysis [OHS 8,9]
12 Causality analysis and Regression analysis [HE 6] [OHS 14]
13 Competency test 3
14 Logit, Probit and Discriminant analysis [OHS 14] [HE 6]
15
16 Structural Equation Models JOURNALS
17
18 Competency Test 4
Rules of class meeting:
1. Attendance point is measured from the percentage of students’ attendance for 18 meetings. Formal letter is needed for students who skip the class, however, if there is no any formal letter or other documents to support the statement of the students, they are regarded as absent.
2. Late attendance is not favourable. If the student come late to the class more than 30 minutes, it considered as an absent.
3. Competency test 1 to 4 are based on the previous material courses which delivered 3 to 4 times before the test. This point of assessment is expected to nurture integrity and independency of the students
4. Plagiarism and any kind of cheating during the test is strictly prohibite. If proven, students will considered failed for the competency test which carried out during the period.
5. Students are not allowed to skip any competency test and if it is happen, it will immediately considered as failure for the subject and earn “E” the transcript
6. Students are allow to propose make up competency test, but it will be held once during this subject delivered in this semester.
7. Grading system as follows:
Grading and Weight Interval (%)
A A≥80
AB 75≤AB<80
B 65≤B<75
BC 60≤BC<65
C 50≤C<60
D 35≤D<50
E <35
Yogyakarta, March 06, 2018 Lecturer,
(Diah Setyawati Dewanti, M.Sc, PhD)
