| Statistics and
Design |
HyperStat http://davidmlane.com/hyperstat/index.html
HyperStat Online is an introductory-level hypertext statistics
book.
Also comprehensive links to other on line stat books and links to some
stat jokes.
Statistics at square one http://www.bmj.com/statsbk/
From BMJ, an on line brief stat text. Also see Epidemiology for
the
uninitiated http://www.bmj.com/epidem/epid.html
Electronic Textbook
http://www.statsoft.com/textbook/stathome.html
Complete on line statistics text book, with many advanced topics.
PA 765 Statnotes: An Online Textbook,
by
G. David Garson http://faculty.chass.ncsu.edu/garson/PA765/statnote.htm
On line stats book, but with chapters on evaluation, surveys, sampling,
some theoretical frameworks.
Statistics: power from data http://www.statcan.gc.ca/edu/power-pouvoir/toc-tdm/5214718-eng.htm
general on line stat book with chapters about data collection,
processing,
problems, presenting, analyzing.
Timeweb http://www.bized.co.uk/timeweb/
sort of an on line stat text. Main topics include sections on:
Digging
for data. Where can you find it? What does it mean, etc?;
Crunching
or processing the data; and Polishing or finishing the data.
A New View of Statistics http://www.sportsci.org/resource/stats/contents.html
all the usual topics, but pretty comprehensive. Another
version is here, http://www.sportsci.org/resource/stats/index.html
showing a table of contents on a left panel.
Statistical Good Practice Guidelines -
Overview
http://www.rdg.ac.uk/ssc/publications/guides.html
Several booklets are available from this site, including Concepts
Underlying
The Design of Experiments , Confidence and Significance: Key
Concepts
of Inferential Statistics , Modern Approaches to the Analysis
of
Experimental Data and Modern Methods of Analysis
They are geared toward agricultural research but seem useful for any
social
scientist.
Betty Jung's Statistics page http://www.bettycjung.net/Statsites.htm
has links to many stat notes, such as
Stat Primer http://www.sjsu.edu/faculty/gerstman/StatPrimer/
an on line public domain stat manual.
Respect for data http://www.uiowa.edu/~soc/datarespect/data_training_frm.html
written and compiled by Ben Earnhart. This is a guide on avoiding
basic errors when making data sets, running analyses.
Methods for evaluating area-wide and organisation-based
interventions
in health and health care: a systematic review 1999. http://www.hta.ac.uk/execsumm/summ305.htm
This report describes a systematic review of methods for evaluating
cluster-based
interventions. It also evaluates existing practice in healthcare
evaluation. It is also a handbook for design.
The Little Handbook of Statistical Practice http://www.tufts.edu/~gdallal/LHSP.HTM
basic stats to anova and regression.
Design,
validity, Randomized Control Trials (RCT)
Research Methods Knowledge Base, chapter on design http://www.socialresearchmethods.net/kb/design.htm
Allpsych on line texts http://allpsych.com/onlinetexts.html
the research methods text is mainly about design. Also has an on line
text on stats. For example, this http://allpsych.com/researchmethods/quasiexperimentaldesign.html
is a brief overview of quasi experimental design.
Government of Canada Human Resources lists this: http://www.hrsdc.gc.ca/en/cs/sp/sdc/evaluation/sp-ah053e/page00.shtml
Quasi-Experimental Evaluation
Statnotes http://faculty.chass.ncsu.edu/garson/PA765/design.htm
has this brief overview.
Threat to validity http://psych.athabascau.ca/html/Validity/
overview of threats to validity. See part 1.
Research Design Lessons http://core.ecu.edu/psyc/wuenschk/DesignLessons.htm
lectures in word.
Research Design Explained http://www.markwebtest.netfirms.com/teachRDE/start/default.html
class notes.
This Research Methods class http://www.csulb.edu/~msaintg/ppa696/696menu.htm
has chapters on experimental and quasi experimental design
Johnson's educational research book http://www.southalabama.edu/coe/bset/johnson/dr_johnson/2lectures.htm
has chapters (9 and 10) that cover experimental and quasi experimental
design. These chapters are fairly detailed.
Propensity
Score Analysis
Urban institute paper http://www.urban.org/toolkit/data-methods/propensity.cfm
explanation of what it is and non technical overview of how to do it.
Applications and graphics for propensity score analysis http://www.albany.edu/~jz7088/documentsSpring04.htm
Lecture 26 notes. A paper by Pruzek and Helmreich. Page 5 and 6
explain the basic idea.
A Comparison of Propensity Score Analysis to Analysis of Covariance:
A
Case Illustration http://works.bepress.com/john_fraas/25/
paper by Fraas, explaining PSA, and some how to do it.
Reducing the Impact of Selection Bias with Propensity
Scores http://www.chrp.org/propensity/
some slides from a class, some on what it is, some on how to.
Papers by Rajeev Dehejia http://www.nber.org/~rdehejia/cvindex.htm
one paper from 2005 is "Practical Propensity Score Matching" and
another from 2002 is "Propensity Score Matching Methods for
Non-Experimental Causal Studies"
The propensity score and estimation in nonrandom surveys - an
overview http://www.statistics.su.se/modernsurveys/
see publications. This paper is about weighting and websurveys.
Also see paper number 24.
The
case against null hypothesis significance testing.
The Case Against Null Hypothesis Significance Testing: Flaws,
Alternatives, and Action Plans http://meeting.aomonline.org/2007/index.php?option=com_content&task=view&id=147&Itemid=1
"The purpose of this workshop is to increase the awareness among
management researchers of the severe limitations of Null Hypothesis
Significance Testing (NHST) and to introduce alternative approaches
based on effect size measures and confidence intervals." At an
Academy of Management annual meeting. Presented by William H. Starbuck,
Jose M. Cortina and Eric Abrahamson.
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last updated 12/28/08
last verified 12/28/08