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Joining a research group is one of the most important events on a graduate student's path to earning a PhD, but the ways students go about searching for a group remain largely unstudied. It is therefore crucial to investigate whether departments are equitably supporting students as they look for an advisor, especially as students today enter graduate school with more diverse backgrounds than ever before. To better understand the phenomenon of finding a research group, we use a comparative case study approach to contrast important aspects of two physics PhD students' experiences. Semi-structured interviews with the students chronicled their interactions with departments, faculty, and the graduate student community, and described the resources they found most and least helpful. Our results reveal significant disparities in students' perceptions of how to find an advisor, as well as inequities in resources that negatively influenced one student's search. We also uncover substantial variation regarding when in their academic careers the students began searching for a graduate advisor, indicating the importance of providing students with consistent advising throughout their undergraduate and graduate experiences., 5 pages, PERC conference proceeding

In the Summer of 2020, as COVID-19 limited in-person research opportunities and created additional barriers for many students, institutions either canceled or remotely hosted their Research Experience for Undergraduates (REU) programs. The present longitudinal qualitative phenomenographic study was designed to explore some of the tools, communities, norms, and division of labor that make up the remote research program and some of the possible limitations, challenges, and outcomes of this remote experience. Within the context of the undergraduate research program, the paper makes a comparison between outcomes of the remote and in-person research experience. Overall, 94 interviews were conducted with paired participants; mentees (N=10) and mentors (N=8) from six different REU programs. By drawing on Cultural-Historical Activity Theory as a framework, our study has explained the remote format has not opened a gap between mentees' research and academic objectives from the REU program and what they got at the end. All mentees reported that this experience was highly beneficial. Comparisons between the outcomes of the remote REU and the published outcomes of in-person UREs revealed many similar benefits of undergraduate research. Our study suggests that remote research programs could be considered as a means to expand access to research experiences for some students even after COVID-19 restrictions are lifted., 21 pages, 5 figures

In the Summer of 2020, due to COVID-19, institutions either canceled or remotely hosted their Research Experience for Undergraduates (REU) programs. We carried out a 16-week longitudinal study examining the impact of these fully remote research experiences on mentees' psychosocial gains (e.g., identity). We studied the phenomenon of a remote research experience from the standpoint of the mentees ($N$=10) and their mentors ($N$=8), who were each interviewed seven and three times, respectively (94 total interviews). All mentees reported that this experience was highly beneficial through different factors and that they developed a sense of belonging, self-efficacy, and identity despite working remotely. Then, we synthesize these results with prior literature and develop a framework showing how different experiences and constructs affect the development of the physics and researcher identity. Gaining greater understanding regarding factors leading to the growth of psychosocial gains may help REU coordinators and REU mentors to re-design their undergraduate research program and provide the support that their mentees' needed to have a positive undergraduate research experience.

This work aims to understand how effective the typical admissions criteria used in physics are at identifying students who will complete the PhD. Through a multivariate statistical analysis of a sample that includes roughly one in eight students who entered physics PhD programs from 2000-2010, we find that the traditional admissions metrics of undergraduate GPA and the Graduate Records Examination (GRE) Quantitative, Verbal, and Physics Subject Tests do not predict completion in US physics graduate programs with the efficacy often assumed by admissions committees. We find only undergraduate GPA to have a statistically significant association with physics PhD completion across all models studied. In no model did GRE Physics or GRE Verbal predict PhD completion. GRE Quantitative scores had statistically significant relationships with PhD completion in two of four models studied. However, in practice, probability of completing the PhD changed by less than 10 percentage points for students scoring in the 10 ^th vs 90 ^th percentile of US test takers that were physics majors. Noting the significant race, gender, and citizenship gaps in GRE scores, these findings indicate that the heavy reliance on these test scores within typical PhD admissions process is a deterrent to increasing access, diversity, and equity in physics. Misuse of GRE scores selects against already-underrepresented groups and US citizens with tools that fail to meaningfully predict PhD completion. This is a draft; see the journal for the published version. Additionally included in blue text are several responses to queries about this work.

We review and extend existing frameworks on modeling to develop a new framework that describes model-based reasoning in upper-division physics labs. Constructing and using models are core scientific practices that have gained significant attention within K-12 and higher education. Although modeling is a broadly applicable process, within physics education, it has been preferentially applied to the iterative development of broadly applicable principles (e.g., Newton's laws of motion in introductory mechanics). A significant feature of the new framework is that measurement tools (in addition to the physical system being studied) are subjected to the process of modeling. Think-aloud interviews were used to refine the framework and demonstrate its utility by documenting examples of model-based reasoning in the laboratory. When applied to the think-aloud interviews, the framework captures and differentiates students' model-based reasoning and helps identify areas of future research. The interviews showed how students productively applied similar facets of modeling to the physical system and measurement tools: construction, prediction, interpretation of data, identification of model limitations, and revision. Finally, we document students' challenges in explicitly articulating assumptions when constructing models of experimental systems and further challenges in model construction due to students' insufficient prior conceptual understanding. A modeling perspective reframes many of the seemingly arbitrary technical details of measurement tools and apparatus as an opportunity for authentic and engaging scientific sense-making., Comment: 6 figures, 1 Table

The Colorado Learning Attitudes about Science Survey for Experimental Physics (E-CLASS) was developed as a broadly applicable assessment tool for undergraduate physics lab courses. At the beginning and end of the semester, the E-CLASS assesses students views about their strategies, habits of mind, and attitudes when doing experiments in lab classes. Students also reflect on how those same strategies, habits-of-mind, and attitudes are practiced by professional researchers. Finally, at the end of the semester, students reflect on how their own course valued those practices in terms of earning a good grade. In response to frequent calls to transform laboratory curricula to more closely align it with the skills and abilities needed for professional research, the E-CLASS is a tool to assess students' perceptions of the gap between classroom laboratory instruction and professional research. The E-CLASS has been validated and administered in all levels of undergraduate physics classes. To aid in its use as a formative assessment tool, E-CLASS provides all participating instructors with a detailed feedback report. Example figures and analysis from the report are presented to demonstrate the capabilities of the E-CLASS. The E-CLASS is actively administered through an online interface and all interested instructors are invited to administer the E-CLASS their own classes and will be provided with a summary of results at the end of the semester.