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SOFTWARE FOR DATA ANALYSIS
COMPARING SOFTWARE
Data management and analysis software perform four basic functions:
What it is: What to look for:
Data entry Inputting the information from Is it easy to use? e.g. to allow input from
surveys and interviews into a low skilled personnel
computer application. Can you customise? i.e. can you create
your own input forms to make data-entry
easier?
Data management Manipulating the data: sorting, What data management power does it
indexing, creating subsets, grouping, have? Software may have only basic
creating new variables from the functions (e.g. sorting and some
existing ones, etc. descriptive statistics) or the possibility of
using advanced grouping functions
necessary for more advanced statistical
analysis.
Data analysis Converting the data into intelligible What data analysis power does it have?
information, such as averages, Software may allow only simple
frequency tables, sums and other calculations or more advanced statistical
statistics functions. Programming skills may be
necessary to run more advanced analysis
Data reporting Formatting the digested data into What variety of reporting formats does it
table, charts and graphs that can be have (e.g. types of graphs)? How easy is it
used in reports to produce these?
Different types of software will score better for different functions and will therefore be more suitable for
different types of work.
Data entry Data management Data analysis Data reporting
Databases Excellent for entering Excellent for Data analysis Database can
(e.g. Oracle, Dbase, data: able to create managing data capability is limited to generate polished
FoxPro, Access, different customised (creating subsets, counts, means and tabular (text) reports
Paradox) forms. However, grouping, etc.). , Most sums but not for graphics
database can be data management
complex to set up operations may
(creating a new require some skills to
database may require be set up, but then
specialised skills, but can be run
inputting routine data automatically
is easy)
Spreadsheets Easy data entry, but Limited data Good range of Excellent graphing
(Lotus 123, Excel, can be inadequate for management statistical function, feature; charts
etc.) large dataset capability but could be created this way can
cumbersome to apply be easily exported in
to large datasets word processors
Statistical Data entry can be a Excellent data
(e.g. EPIinfo, SPSS) bit cumbersome management
Software for data analysis - Page 1/2
QUALITATIVE ANALYSIS SOFTWARE
Specific software has been developed for qualitative data analysis (e.g. Ethnograph, Nudist). It is often
based on expanded text retrieval and handling capacities. The idea is to highlight segments and to label
concepts and key issues (e.g. from interview transcripts), then be able to retrieve it, build relationship trees or
query the data to pull out relevant concepts or interviews.
One problem is that such software packages are often based on implicit theories of qualitative research and
may force researchers to follow conventions set in the programme.
WHAT TO CONSIDER IN CHOOSING SOFTWARE
Match -- What kind of analysis do you want to do and which software matches this best? (see above)
Skills -- What is are required? How does that match with skills available in house? What are the
implications for distributing and managing work in data entry, cleaning and analysis?
Availability -- Which software is most easily available? Lowest cost? What support is there for
troubleshooting?
Compatibility – How compatibile is it with other software already used, including by partner
organisations?
Software for data analysis - Page 2/2
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