Stats 2 jan 2013
week
date (for
you to
complete)
1
2
3
4
5
6
7
8
9
10
Each
candidate
can select
either the
factor
analysis
or binary
analysis
chapter
to work
through
material (link to pdf)
datasets
my YouTube videos theoldorganplayer: link to videos
Assignment details
Description of all datasets
survival1.sav
Survival analysis
survival1a.sav
survival_collett_p290.sav
Example Course handbook
lung_cancer_prentice1973.sav
(students will be provided
breast_cancer_survival.sav
with individually edited
version of this)
continue survival analysis
handout
Logistic regression
andy_f_eel.sav
andy_f_burnout.sav
miles_shevlin_p152_data6_2.sav
Multiple regression
miles_shevlin_p169_data7_1.sav
campbell_mlr_p12.sav
airpoll.sav
daniel_random_p514_ed5_multreg_chd_risk.sav
Continue multiple
regression handout above
Mixed models approaches:
t_test_paired_long_format.sav
Getting familiar with the
twisk_longitudinal_wide.sav
Linear Mixed Models
twisk_longitudinal_long.sav
(LMM) options in SPSS
Repeated measures 2 same as above
Four repeated measures in
a single group
Repeated measures 3 bandb_wide.sav
Five repeated measures in
The following links provide the data at the
two treatment groups
various stages described in the chapter - you
should not need them:
bandb_long_start.sav
bandb_trad_treat_transpossed.sav
bandb_btheb_treat_transpossed.sav
bandb_long_completed.sav
bandb_long_month.sav
Factor analysis
med_factor.sav
psy_factor.sav
R script for correlation
grnt_fem.sav (two factor model)
matrix input
t_b_factor.sav
computer_s_2009.sav
grnt_fem.dat
Analysing a set of binary
somtot.dat (somtat = mus scores; 30 vars.
questions
n=161)
somtot.txt
somtot.sav
sexualat.dat
sexualat.sav
(sexual attitude data from Dmitris Rizopoulos
itm r package; 10 vars n=1077)
tick when
completed
exercises
tick when
completed
MCQs