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Important - this resource is still under construction. Please contact us if you have any questions or wish something to be clarified. Especially the R scripts require some further improvements and refinements.
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In this project we wish to provide an openly available large-scale database of results of AMAS (Abbreviated Math Anxiety Scale) by Hopko et al. (2003).
AMAS is one of the most popular instruments for math anxiety measurement. It can be administered both in a paper-and-pencil as well as computerized, and online way.
So far it was translated to numerous languages and used for research purposes.
Here, we attempt to build wide large-scale database of AMAS scores. We hope it fosters the development of the instrument itself, and the research on math anxiety in general. Possible uses of this database consider:
1. Beteween country and between group comparisons
2. Between study comparability
3. Building norms suited for specific groups of interest
4. Cross-cultural comparisons of math anxiety
***So far the project comprises four major components***
**A. Data files**
This component comprises two types of the data.
1. Raw AMAS data (by item) along with participant's age, gender,
occupation, field of study, number of years of education.
Additionally, language version of the AMAS, form of administration,
year of data collection, name of the researcher, who contributed the
data.
2. Separate file providing more details on each dataset and references to
certain studies.
**B. R analysis scripts**
Here we share R scripts allowing basic analyses of the shared data. We use R because it is relatively easy to use and free software. You do not need any license to run the code.
1. Merging all raw data into one dataframe
2. Description of the data
3. Basic psychometric evaluation (reliability, item characteristics etc.)
3. Exploratory and confirmatory factor analysis
4. Building percentile and standard norms, calculating critical differences
**C. Invitation to contribute and templates**
Do you like the project, and wish to contribute to it? It is very easy. In this component you will find detailed information on how to do it. We have also prepared templates on how you should prepare your data.
Any questions? Feel free to contact us. We are happy to provide you further support! We hope that, also with your help, this resource develops rapidly, and becomes even more useful in the future.
**D. AMAS in different languages**
Here we share different language versions of AMAS, so that interested readers can use it in their own research.
