SPSS resources: Books Title 1-2 1-2 1-2 1-2 1-2 2-3 2-3 Level of studenta Level 2 3 3 3 4 2 4 Level of detailb ✔ Some mathematics Associated website for Datasets students Resources ✔ ✔ ✔ ✔ ✔ Practice questions ✔ ✔ ✔ Resources for tutors ✔ ✔ SPSS syntax ✔ ✔ ✔ ✔ ✔ Data manipulation ✔ ✔ ✔ ✔ ✔ ✔ ✔ Procedures shown Software ✔ ✔ ✔ ✔ ✔ ✔ ✔ Interpretation Standard tests and modelling ✔ ✔ ✔ ✔ ✔ ✔ ✔ techniques BL, ML Advanced regressionc ✔ ✔ Multilevel modelling MA, FA, MA, FA, PCA, MA, FA MA, FA MA MA, FA Multivariated LDA, CC LDA Topics Ka, CA CA CA Ka, CA, ICC CA, ICC Reliabilitye ✔ Sample size and/or power ✔ ✔ Study design a: Level of student: 1 = Beginner, 2 = Undergraduate (Non-Maths), 3 = Advanced Undergraduate (Non-Maths), 4 = Undergraduate (Maths) b: Level of detail: 1 = Overview, 2 = Introduction, 3 = Some depth, 4 = Extensive c: Advanced regression: GLM=Generalised Linear Models, BL=Binary Logistic, ML=Multinomial Logistic, Po=Poisson d: Multivariate: MA = MANOVA, FA = Factor Analysis, PCA = Principal Components Analysis, DA = Discriminant Analysis, Cl = Cluster Analysis, CA = Correspondence Analysis, CC = Canonical Correlation, CT = classification Trees, MDS = Multi-dimensional Scaling e: Reliability: CA = Cronbach's alpha, ICC = Intraclass correlation, Ka = Kappa
SPSS resources: Books Title Level Level of studenta 1-2 1-2 1-2 1-2 1-2 2-3 2-3 Level of detailb 2 3 3 3 4 2 4 Some mathematics ✔ Resources for students Associated website Datasets Practice questions ✔ ✔ ✔ ✔ ✔ Resources for tutors ✔ ✔ ✔ Software SPSS syntax ✔ ✔ Data manipulation ✔ ✔ ✔ ✔ ✔ Procedures shown ✔ ✔ ✔ ✔ ✔ ✔ ✔ Interpretation ✔ ✔ ✔ ✔ ✔ ✔ ✔ Topics Standard tests and modelling techniques ✔ ✔ ✔ ✔ ✔ ✔ ✔ Advanced regressionc BL, ML Multilevel modelling ✔ ✔ Multivariated MA, FA, LDA MA, FA MA, FA MA MA, FA, PCA, LDA, CC MA, FA Reliabilitye Ka, CA CA CA Ka, CA, ICC CA, ICC Sample size and/or power ✔ Study design ✔ ✔ a: Level of student: 1 = Beginner, 2 = Undergraduate (Non-Maths), 3 = Advanced Undergraduate (Non-Maths), 4 = Undergraduate (Maths) b: Level of detail: 1 = Overview, 2 = Introduction, 3 = Some depth, 4 = Extensive c: Advanced regression: GLM=Generalised Linear Models, BL=Binary Logistic, ML=Multinomial Logistic, Po=Poisson d: Multivariate: MA = MANOVA, FA = Factor Analysis, PCA = Principal Components Analysis, DA = Discriminant Analysis, Cl = Cluster Analysis, CA = Correspondence Analysis, CC = Canonical Correlation, CT = classification Trees, MDS = Multi-dimensional Scaling e: Reliability: CA = Cronbach's alpha, ICC = Intraclass correlation, Ka = Kappa
Pocket_guide_to_statistics_resources_1.0.docx