Thesis advisor: Larry H. Ludlow / In the field of teacher education, it is well documented that the most influential part is the clinical component, often referred to as student teaching or the practicum experience (Cochran-Smith, 1991; Darling-Hammond, 2014; Evertson, 1990). During the practicum, there exists a triad of three individuals: a university supervisor, a K-12 classroom teacher (often referred to as the cooperating teacher), and the teacher candidate. While much research has been conducted on teacher candidates and the cooperating teacher role, there has been a lack of research on the role of the university supervisor. The lack of measurement instruments to assess the quality of the university supervisor puts teacher education programs at a disadvantage, both from a programmatic improvement standpoint, as well as meeting accreditation requirements. This dissertation provides an answer to this issue, creating a new instrument that assesses the quality of the university supervisor, from the perspective of teacher candidates. This instrument is constructed under the Rasch-Guttman Scenario (RGS) framework, as most clearly defined by Ludlow, Baez-Cruz, et al. (2020). The RGS framework derives its influence from the works of George Rasch (1960/80) as well as Louis Guttman’s facet theory (Guttman 1954; Guttman 1957). The result is a new scale, entitled the University Supervisor Quality (USQ) scale, consisting of nine scenario items. All nine items include four facets that comprise the construct of university supervisor quality: resourcefulness, constructive feedback, mentorship, and collaboration. The results of this dissertation suggest that the utilization of the RGS framework is successful for developing a scale about university supervisor quality. In addition, the use of cognitive interviews provide valuable insight into the development of scales using the RGS framework. This scale has the potential for use in teacher education programs for evaluating the quality of their supervisors, and to utilize as evidence for accreditation purposes. / Thesis (PhD) — Boston College, 2022. / Submitted to: Boston College. Lynch School of Education. / Discipline: Educational Research, Measurement and Evaluation.

Thesis advisor: Larry H. Ludlow / Teachers in the United States are increasingly tasked with using data to inform their classroom instruction both through federal policies, such as the Every Student Succeeds Act (ESSA, 2016), and state policies requiring the use of teacher-determined data-driven goals for performance evaluations (MA 603 CMR 35.07). Many teachers, however, report that they feel underprepared to engage in this type of work (Dunn et al., 2013), also called Data-Driven Decision Making (DDDM). In addition, there is currently a limited set of instruments to measure the construct of using data to inform classroom instruction and the instruments that currently exist measure this construct using a typical Classical Test Theory design.This work developed an instrument called the Using Data to Inform classroom Instruction (UDII) scale to measure teachers’ use of data to inform classroom instruction. It used the Rasch/Guttman Scenario (RGS) methodology, an approach that develops scenarios that reflect the rich lived experiences of individuals (Antipkina & Ludlow, 2020; Ludlow et al., 2014). The RGS approach utilizes the Rasch model, part of the family of Item Response Theory models, which conceptualizes a construct as a hierarchical continuum. Scenario items and people are plotted on the same variable map, which allows for the development of rich descriptions of individuals at particular raw score locations on the continuum. An interpretative variable map is included to help schools and districts use the results of the survey. This work adds to the growing body of literature utilizing the RGS approach, as well as the literature focused on the use of data to inform classroom instruction (or DDDM). The UDII scale can be utilized by schools and districts who are engaged in the work of using data to inform classroom instruction to identify the current skillsets of teachers and/or teams of teachers to provide differentiated support, or it can be used before and after an intervention focused on using data to inform classroom instruction to measure change. / Thesis (PhD) — Boston College, 2022. / Submitted to: Boston College. Lynch School of Education. / Discipline: Educational Research, Measurement and Evaluation.