Description:
Pada mata kuliah ini mahasiswa mampu menetapkan dan menyusun desain teknis analisa data penelitiannya kuantitatif atau kualitatif.

Objectives:
1. Mampu menentukan dan mengaplikasikan teknik analisis data yang sesuai dengan tujuan penelitian
2. Mampu menjelaskan hasil analisis data

Assessment:
Bukti materi workshop

Topics:
1. Validitas dan reliabilitas
2. IRT dan Rasch Model
3. Analisis Multivariat

Resources:
1. Baker, F. B. (2001). The basics of Item Response Theory (2nd edition). USA: ERIC Clearinghouse on Assessment and Evaluation.
2. Field, A. (2009). Discovering Statistics Using SPSS. London: SAGE Publications Ltd.
3. Hair, J. F., Babin, B. & Anderson, R. (2009). Multivariate Data Analysis. Pearson Education.
4. Hayes, A.F. (2017). Introduction to Mediation, Moderation, and Conditional Process Analysis, Second Edition, A Regression-Based Approach. New York: Guilford Press
5. Kline, R.B. (2011) Principles and Practice of Structural Equation Modeling. Guilford Press, New York.
6. Tabachnick, B. G., & Fidell, L. S. (2001). Using Multivariate Statistics. Allyn and Bacon.
Bond, T. G., & Fox, C. M. (2015). Applying the Rasch Model Fundamental Measurement in the Human Sciences, Third Edition.pdf (Third). New York: Routledge.

Other information:
Beban studi : 1 SKS
Semester III

Learning method:
Workshop

Lecturers: Cholichul Hadi Cholichul Hadi, Suryanto Suryanto, Fendy Suhariadi Fendy Suhariadi, Seger Handoyo Seger Handoyo, Dewi Retno Suminar Dewi Retno, Nono Hery Yoenanto Nono Hery, Fajrianthi Fajrianthi, Endang Retno Surjaningrum Endang Retno, Nurul Hartini Nurul Hartini, Fitri Andriani Fitri Andriani, Nur Ainy Fardana Nawangsari Nur Ainy, Achmad Chusairi Achmad Chusairi, Ike Herdiana Ike Herdiana, Samian Samian, Wiwin Hendriani Wiwin Hendriani, Primatia Yogi Wulandari Primatia Yogi, Pramesti Pradna Paramita Pramesti Pradna, Rahkman Ardi Rahkman Ardi, Triana Kesuma Dewi Triana Kesuma

Projects: 2