This page covers approaches that we used to collect, clean, analyze, interpret, and communicate the Arts Engagement data.
TOPIC MODELS : a text-mining tool for discovery of hidden semantic structures (topics) in a text or a corpus of texts
CLOSE READING AND INTERPRETATION : reading individual responses and interpreting the results and overall relationships — individually and through group discussion
DICTIONARIES : organized collections of terms and phrases used to help classify, categorize, and calculate the frequency of words in text
PRINCIPAL COMPONENTS ANALYSIS : extracts information about many different variables and integrates this information into fewer dimensions which may then be used to help interpret and describe patterns or make comparisons with other variables
DEMOGRAPHIC COMPARISONS : analysis of variance using factors such as sex, grade point average, high school locale, ethnic group, income, etc.