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
and multilevel modelling. The associated web site called Statistics Hell has lots of additional resources (see next section re online resources). SPSS resources: Online resources Resource A guide to SPSS for Information Science Level Level of studenta 1-3 1-2 1-2 1-2 1-2 1-2 2-3 2-4 2-4 Level of detailb 2-3 2 2 3 3 3 4 3 3-4 Some mathematics ✔ ✔ ✔ Resources for students Datasets ✔ Practice questions ✔ ✔ Worksheets ✔ Videos ✔ Software SPSS syntax ✔ ✔ Data manipulation ✔ ✔ ✔ ✔ ✔ ✔ ✔ ✔ Procedures shown ✔ ✔ ✔ ✔ ✔ ✔ ✔ ✔ ✔ Interpretation ✔ ✔ ✔ ✔ ✔ ✔ ✔ ✔ ✔ Topic Standard tests and modelling techniques ✔ ✔ ✔ ✔ ✔ ✔ ✔ ✔ ✔ Advanced regressionc BL BL BL, ML GLM, BL, GLM, BL, ML, Po Multilevel modelling ✔ ✔ ✔ Multivariated FA, PCA, Cl PCA MA, FA MA, FA MA, FA, LDA, CC Reliabilitye CA, ICC, BA CA, Ka CA, ICC CA 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
Online SPSS resources: Standard topics in statistics Resource Statstutor Level Level of studenta 1-2 1-2 1-2 1-2 2-3 Level of detailb 2-3 2-3 2-3 3 4 Some mathematics ✔ Content Resouce/Video/webpage R V R W W Datasets ✔ ✔ Practice questions ✔ ✔ Software SPSS ✔ ✔ ✔ Data manipulation Procedures shown ✔ ✔ Interpretation ✔ ✔ Introductory statistics Data types Descriptive statistics in SPSS Descriptive statistics Graphs Confidence intervals Hypothesis testing T-tests One sample t-test Independent t-test Paired t-test ANOVA ANOVA and related One way ANOVA Two-way ANOVA Interactions in ANOVA ANCOVA Repeated measures ANOVA Two-way repeated measures Mixed Between-within ANOVA Non-parametric Sign Test Friedman Wilcoxon signed rank Chi-squared test Association Chi-squared test Goodness of fit Fisher's Exact test Kruskall-Wallis Mann-Whitney Correlation and regression Regression and related Scatterplots Correlation Spearman's correlation Kendall's correlation Simple linear regression
only downside to the videos is that they feature SPSS version 16 although the data sets are for version 22. Medical Statistics: Books Title Level Level of studenta 1-2 1-2 1-2 1-2 1-2 1-2 2 2-4 4 Level of detailb 1 2 4 4 4 4 3 3 4 Some mathematics ✔ ✔ ✔ ✔ ✔ Resources for students Associated website Datasets ✔ Practice questions ✔ ✔ ✔ Resources for tutors Software Software used SPSS, STATA, SAS SPSS STATA R Data manipulation ✔ ✔ Procedures shown ✔ ✔ Interpretation ✔ ✔ ✔ ✔ Topic Diagnostic tests ✔ ✔ ✔ ✔ ✔ ✔ Measures of risk (OR/RR) ✔ ✔ ✔ ✔ ✔ ✔ Meta-analysis ✔ ✔ ✔ ✔ ✔ Sample size ✔ ✔ ✔ ✔ ✔ ✔ ✔ Survival Analysis (inc Kaplan-Meier and Cox regression) ✔ ✔ ✔ ✔ ✔ ✔ ✔ 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
Introduction to Meta-Analysis. Borenstein, Hedges, Higgins and Rothstein. The bible on meta-analysis! A general text, covering everything from basic to very advanced topics using maths and table/graph interpretation. Clear discussion of SMD, OR, CIs, heterogeneity, forest plots, funnel plots etc which are the basic toolkit. Medical Statistics: Online resources General medical statistics Sample size Resource Level Level of student 1-2 1-3 1-2 1-2 2 2-3 3-4 3 3-4 1-2 2-3 Level of detail 1 2-3 3 3 1 4 3-4 4 3-4 1 2 Some mathematics ✔ ✔ ✔ Resources for students Datasets ✔ ✔ Practice questions ✔ Worksheets ✔ ✔ Videos ✔ ✔ Software Software used R SPSS SPSS SPSS SPPS, R, SAS, STATA, Mplus, MLwiN Data manipulation ✔ ✔ Procedures shown ✔ ✔ ✔ ✔ ✔ ✔ Interpretation ✔ ✔ ✔ ✔ ✔ ✔ Topic Diagnostic tests Measures of risk (OR/RR) ✔ Meta-analysis ✔ ✔ ✔ Sample size ✔ ✔ Survival Analysis