Determine Modal Patterns

Material Information

Determine Modal Patterns
Schneider, Jenifer Jasinksi
Physical Description:
1 online resource


Subjects / Keywords:
Education -- Research ( lcsh )


MAXQDA, and other forms of data analysis software, are helpful tools for labeling, sorting, coding, and managing the data. Their visual displays and analysis tools expedite the process of recognizing patterns. However, there is a very important human element that must occur in conjunction with the statistical approach. Attention to detail, clear and consistent codes, and rigorous labeling of instances are the keys to the strength of any claims and interpretations about the data.

Record Information

Source Institution:
University of South Florida
Holding Location:
University of South Florida
Rights Management:
All applicable rights reserved by the source institution and holding location.
Resource Identifier:
I17-00054 ( USFLDC DOI )
i17.54 ( USFLDC Handle )
4c ( OriginalID )

USFLDC Membership

Analyzing Student-Made Films

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Determine Modal Patterns Use software options to perform different statistical analyses on coded data. Determine instances of codes and sub-codes. Examine the location, duration, and other patterns associated with the modes. 1 Schneider, J.J. (2016). Analyzing student-made lms: Tally modes. Retrieved from Multimodal Data Analysis: A Curated, Open-Access Collection of Methodologies. USF Libraries Digital Collections Samples created with MAXQDA


Scene Time Screen Shot Costumes Props 1 0.00 All student actors in school uniform (boys in white shirts, tie, navy pants; girl in white shirt, plaid skirt) Teacher wearing pants and shirt General classroom decorations 2 0.43 All actors in school uniform Notebookspiral bound 3 1.18 Soldier: Red soccer shirt/ straw hat Soldier: Red shirt/mustache Journal Bic pen 4 1.40 Soldiers: Mix of red shirts White uniform shirt worn open like a jacket White undershirt Paper guns hats Determine Modal Patterns 2 Use charts, tables, and graphic organizers to manipulate and arrange data. Examine the qualities and characteristics of the data segments associated with the modes.