At forbedre evnen til at analysere human perception og spørgeskemadata. Nogle af de nyeste statistiske metoder bliver gennenmgået ved brug af open source softwaren R og PanelCheck sammen med XLSTAT-PLSPM pakken til Excel (tilgængelig i en 30 dages gratis trial version).
Læringsmål:
En studerende, der fuldt ud har opfyldt kursets mål, vil kunne:
Arbejde med R, Panelcheck og XLSTAT-PLSPM
Planlægge og analysere simple diskrimination og similaritets experimenter ved brug af sensR
Analysere replikerede diskriminationsdata
Udføre og forstå simpel Thurstonian modelling
Anvende mixed models på sensorisk profildata og forbrugerpræference data ved hjælp af PanelCheck og R-pakker
Analysere sensorisk profildata med den nye skaleringskorretionsmetode (med R)
Bruge PanelCheck til simple såvel som multivariate analyser (inclusive Tucker-1)
Analysere A-not-A og Same-different data
Analysere ordinal diskrimination- and spørgeslemadata ved hjælp af R-pakken ordinal
Analysere multivariate spørgeskemadata ved PLSPM metoder
Designe et netværk af multivariate sammenhænge
Estimere and bedømme PLS path models (PLSPM) med XLSTAT-PLSPM
Kursusindhold:
Course Main Topics Overview:
Monday: Simple discimination using R (package sensR) Tuesday: Mixed models using PanelCheck AND R. (newly developed R-routines) Wednesday: Multivariate Analysis using PanelCheck Thursday: PLS-PM using XLSTAT-PLSPM Friday: Advanced discrimination using R (packages sensR and ordinal)
In addition an introduction to R is given and presentation and discussion of participants projects are included.
Litteratur:
T. Næs, P.B. Brockhoff and O. Tomic, (2010). Statistics for Sensory and Consumer Science, John Wiley & Sons. Brockhoff, P.B. and Christensen, R.H.B. (2010). Thurstonian models for sensory discrimination tests as generalized linear models. Food Quality and Preference 21(3), 330-338. Christensen, R.H.B. Cleaver, G. and Brockhoff, P.B. (2011). Statistical and Thurstonian models for the A-not A protocol with and without sureness, To appear in: Food Quality and Preference. Christensen, R.H.B. and Brockhoff, P.B. (2009). Estimation and inference in the same-different test. FQP 20(7), 514-524. Tomic, O., Nilsen, A. N., Martens, M., Næs, T., Visualization of sensory profiling data for performance monitoring, LWT - Food Science and Technology, Vol 40 (2007), pp 262 – 269 M. Tenenhaus, V. Esposito Vinzi, Y.M. Chatelin, C. Lauro, (2005). PLS Path Modelling, Computational Statistics and Data Analysis, 48 (1), 159-205
Bemærkninger:
Monday, Tuesday and Friday R is used for the exercises. We do not assume any R-knowledge in advance. Participation Friday assumes participation Monday (or at least similar knowledge/experience - for people WITH (sensory) experience in basic discrimination testing, but WITHOUT any R-experience, there will be some video-recorded tutorials (from the R-intro given Sunday, and from Monday, and potentially Tuesday, that with a little preparation before Friday morning could bridge the gap).
