ANTHROPAC is a DOS program with menus for collecting and analyzing data in cultural domains. The program helps collect and analyze structured qualitative and quantitative data, including freelists, pilesorts, triads, paired comparisons, and ratings.
ANTHROPAC is a DOS program with menus for collecting and analyzing data in cultural domains. The program helps collect and analyze structured qualitative and quantitative data, including freelists, pilesorts, triads, paired comparisons, and ratings. ANTHROPAC's analytical tools include unique anthropology techniques, such as consensus analysis, as well as standard multivariate tools such as multiple regression, factor analysis, cluster analysis, multidimensional scale, and correspondence analysis. In addition, the program offers a wide variety of data manipulation and transformation tools, as well as a complete matrix algebra language.
ANTHROPAC is accompanied by a 150-page Reference Manual, a 60-page User Guide, and a 40-page Method Guide (which provides basic information on cultural domain analysis methods). These manuals are provided in electronic format, not paper.
Collecting Proximity Data
Process qualitative pilesort and freelist data. Build individually randomized triad tests, paired comparisons, and classification/classification questionnaires. The data collected with these instruments are automatically not randomized by the program, so the data are comparable among respondents. Calculate measurements of similarities/distances between items or respondents.
Analyze proximity data
Perform metric and non-metric multidimensional scaling of up to 180 items. Correspondence analysis, factor analysis and cluster analysis. Test the hypotheses of the underlying perceptual dimensions through profit analysis. Test other hypotheses of proximity data with matrix correlation (QAP) and matrix regression (MRQAP).
Perform metric and non-metric multidimensional scaling of up to 180 items. Correspondence analysis, factor analysis and cluster analysis. Test the hypotheses of the underlying perceptual dimensions through profit analysis. Test other hypotheses of proximity data with matrix correlation (QAP) and matrix regression (MRQAP).
Attitude Scale
Build, test and modify Guttman and Likert scales of underlying attitudes/traits. ANTHROPAC makes it easy to discard items and rerun the analysis to arrive at the optimal combination of items.
Consensus Analysis
Evaluate the extent and type of intracultural variability in a sample, assess the extent of the informants' knowledge about a cultural domain. The ANTHROPAC implementation handles true/false, multiple choice, blank sump and range data.
Data transformations
Routines for transforming data, including simetrization, dichotomization, recoding, reversal, transposition, standardization, remodeling, classification, normalization, permutation and collapse of arrays, and submatrice extraction.
Data management
Copy, delete, rename, merge, display, edit, browse, and print datasets. It also exports and imports data to and from ASCII formats for communication with other programs.
System requirements:
CPU: 1.8 GHz dual core processor
RAM: 2 GB
HDD / SSD: 50 GB of free space on the main drive
Operating system: Microsoft Windows 8 32-bit, Microsoft Windows 7 32-bit and Microsoft Windows Vista 32-bit
Resolution: 1024×768
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