(Not in Data Sets used in the 1st Edition
From Chapter 2: Analysis of variance (ANOVA)
Table 2.2 (oneway.sav contains the full dataset) The table in the text gives the first few and last few rows of recall data from a one-way between-subjects design set out for the SPSS datasheet
Table 2.4 (between.sav contains the full dataset) The table in the text gives the first few rows of data from a factorial between-subjects design set out for the SPSS datasheet
Table 2.5 (within.sav) Data from a design with two within-subjects variables with variable names as described in the text
Table 2.6 (mixed.sav) Data from a mixed design (IQ between-subjects and presentation METHOD within-subjects)
From Chapter 3: Multivariate analysis of variance (MANOVA)
Table 3.1 (between2.sav) Data from a between groups experiment to compare training programs
Table 3.2 (within2.sav) Data from a within-subjects experiment to compare effects of angle of orientation and stimulus mode on mental rotation time and physical head movement in a same/different decision task
From Chapter 4: Multiple regression and partial correlation
Table 4.1 (regression.sav) Task success, aptitude, and personality scores, and education, for 50 computing staff
Dataset for cross-validation (xval.sav), not shown in the text This is just table 4.1 with a column added for a new variable, XVAL
Data for the hierarchical regression analysis (hierarch.sav), not shown in the text but shown below.
Table4.3 (astronomy.sav) Planetary distances for the solar system
From Chapter 5: Analysis of covariance (ANCOVA)
Table 5.1 has the first six columns of this table (ancova.sav). The additional one called TIME is referred to in the section on ANCOVA with more than one treatment factor The three datasets and the additional covariate, TIME
From Chapter 6: Partial correlation, mediation and moderation
Table 6.1 (partial.sav) Biological gender, computer anxiety, psychological gender, and faculty data for 80 students
Table 6.2 (moderate.sav) Computer anxiety, psychological gender and computer experience for 80 students. The data for the first two variables were real, but the data for the computer experience variable were fabricated
From Chapter 7: Path analysis
Table 7.1 (path.sav) Fabricated data for a path analysis
Table 7.2 (schism.sav contains the full dataset) The table in the text gives the first few cases of schism data
From Chapter 8: Factor analysis
Table 8.2 (waisdata.sav contains the full dataset) The table in the text gives the first few cases of the WAIS subtest scores of a sample of 128 psychology students
From Chapter 9: Discriminant analysis and logistic regression
Table 9.1 (heights.sav) The table in the text gives the first few and last few rows of the data on sex, height and weight of 35 adults
Table 9.3 (reading.sav) Test results and group membership of 54 children
Table 9.4 (newcases.sav) Test results for new cases
Table 9.6 (logistic.sav) The table in the text gives the first few and last few rows of amended reading data on 54 children
Table 9.7 (newlogistic.sav) New cases to be classified by logistic regression
The table below shows predicting.sav, which is just Table 9.6 with an extra column, choose, and the 10 new cases from Table 9.7 at the bottom, added to enable prediction. The data are not shown in the text but referred to in the section on using logistic regression to assign new cases.
The table below shows xlogistic.sav, which is just Table 9.6 with an extra column, xval, added to enable cross-validation. The data are not shown in the text but referred to in the section on estimating misclassification probabilities.
From Chapter 10: Cluster analysis
Table 10.4 (cluster.sav) The table in the text gives the first few rows of aptitude and manual dexterity data on 52 studentsTable 10.5 (clusvars.sav) The table in the text gives the first few rows of presence/absence of 8 problems in 50 children
From Chapter 11: Multidimensional scaling
Table 11.1 (citymap.sav) Lower triangle of a distance (in miles) matrix for eight British cities
Table 11.2 (oppose.sav) Distance matrix for church organisations according to opponents of women's ordination, obtained before the first ordinations took place
Table 11.3 (support.sav) Distance matrix for church organisations according to supporters of women's ordination, obtained before the first ordinations took place
Table 11.4 (a)(inter1.sav) and (b )(inter2.sav) Numbers of interactions between pairs of students (a) In first three project sessions
(b) In the three project sessions after the citizenship course
Table 11.5 (distance1.sav) 'Distances' between pairs of students in first three project sessions
(distance2.sav) 'Distances' between pairs of students in the three project sessions after the citizenship course are shown below.
Table 11.6 (control.sav) 'Distances' between pairs of students calculated from 'control' questions
From Chapter 12: Loglinear models
Table 12.3 (maths.sav) Presenting a frequency table to SPSS (maths ability, sex and relative finger lengths)
Table 12.6 (voting.sav) Voting behaviour of old and young people