Date of Award

Spring 6-13-2025

Document Type

Dissertation

Degree Name

Ph.D. in Quantitative Research Methods

Organizational Unit

Morgridge College of Education, Research Methods and Information Science, Research Methods and Statistics

First Advisor

Robyn Thomas Pitts

Second Advisor

Nicholas Cuthforth

Third Advisor

Traci Shizu Kutaka

Fourth Advisor

Pat Garriott

Copyright Statement / License for Reuse

All Rights Reserved
All Rights Reserved.

Keywords

Longitudinal mixed methods research, Education, Learning trajectories dataset, Kindergarten

Abstract

In employing longitudinal mixed methods designs, researchers have commonly used the fully longitudinal mixed methods design. This has occurred mostly in the health sciences but less in education. The current investigation proposes a novel longitudinal mixed methods research design, explanatory fully longitudinal mixed methods case study design. It demonstrates its potential for addressing research inquiries in educational research using the arithmetic learning trajectories datasets. This study is presented in three components. The first is a quantitative phase, selecting an exploratory case from a previous arithmetic learning trajectories study (Clements et al., 2021) for qualitative analyses based on maximizing the variation in student outcomes. The second is a qualitative phase, focusing on explaining the phenomenon of students’ learning improvements using an explanatory case study approach. The third part integrates the quantitative and qualitative results and compares two mixed methods data integration methods.

Copyright Date

6-2025

Publication Statement

Copyright is held by the author. User is responsible for all copyright compliance.

Rights Holder

Menglong Cong

Provenance

Received from ProQuest

File Format

application/pdf

Language

English (eng)

Extent

140 pgs

File Size

1.3 MB

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