Portal --> Annotated Links of Data Collection
Introduction to Data Collection and Analysis. This website provides
basic learning courses about data collection and analysis. It presents
in detail the steps of data collecting, data processing, data analysis
and data presentation.
This is a data collection manual. There are some data collection examples
and principles. The descriptions of questionnaire composite and scross-stie
reports are very useful for those who want to write their own questionnaires
A briefbook for data analysis. It is a condensed handbook about statistics,
data analysis and other related fields. This online briefbook can be
used as a good introduction and reference for data analysts, scientists
and engineers. Besides, there are some good links to other relevant
A statistics textbook in electric form. It is an interactive textbook
about data analysis. Complete collections of statistic formulas, data
analysis charts and graphs, data analysis examples and distribution
tables are provided there. You can use it as an online statistic manual.
A a very good site of data analysis. It introduces popular distributions
and their applications, and topics in statistical data analysis. It
also introduces questionnaire design, survey sampling, time series analysis,
computational probability, etc. There are lots of detailed examples
teaching you how to use SPSS and SAS (source code that can be used in
"The University of Michigan Documents Center has put together a
great collection of Statistical Resources on the Web. All categories
of statistical resources are included from Statistical Resources on
Agriculture, Government, Business, Foreign Trade, Consumers, Health,
Demographics, Labor, Education, Science and much more! These statistical
resources are updated continually." Interesting things include
online mortgage calculator and statistical calculator.
Advanced concepts of data analysis. It is called as Research Methods
Knowledge Base. Here you can learn the process of doing research, including
project design, data collection, data analysis and report writing.
National Center for Health Statics. A model data system website. There
are all kinds of useful data sets, such as provisional tables on births,
marriages, divorces, and deaths by state. One can use these statistical
tables, charts and graphs to practice data analysis. It also adresses
the key points when collecting data.
Statistical Science Web. List of statistical resources, including relevant
journals, associations and researches (mainly in Australia).
American Statistical Association. Here you can join the American Statistical
Association (ASA), find their current and previous projects, and subscribe
to their statistical journals.
Council of American Survey Research Organization. This is a website
about survey standards and ethnics. It is a useful data collection site.
SPSS is popular data analysis software. It can do all the commonly used
calculations in statistics, both descriptive statistics and inferential
statistics. It also has lots of other useful functions. For example,
data conversion can convert data into different formats for differenct
statistic software, such text format and excel format. The function
of graphs can output statistic tables, charts and graphs to give more
direct and comprehensible statistic information. On the website, there
are lots of manuals and application demos of data analysis software.
SAS consists of a series of powerful data analysis software. It is more
powerful and thus more complicate than SPSS, because SAS has the function
of programming. Users can define their own variables, parameters and
functions when conducting data analysis. But there are only some introductions
about SAS utilization, not much useful information. To have deeper understanding
of this powerful data analysis tool, you can take their training courses
(which are very expensive to me).
Lots of data analysis software and data sets. There are links to data
analysis package, listed in alphabetical order. There are links to some
very interesting data visualization tools, such as Dataplot, Lassptools,
etc. There are detailed examples of real world data analysis.