Marisa Orr
Biographic Data
| ID | 4218607 |
|---|---|
| NAME | Marisa Orr |
| GIVEN NAMES | Marisa |
| FAMILY NAME | Orr |
| SIGNATURE | ORR M |
| AFFILIATIONS | Clemson University |
| ORCID | 0000-0001-5944-5846 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 1 |
Midfield
Contribution: This work provides evidence of various approaches to studying longitudinal student unit record data in undergraduate education in the USA and the outcomes that can be realized using a large multi-institutional longitudinal dataset, Multiple-Institution Database for Investigating Longitudinal Development (MIDFIELD). Background: Cross-sectional studies introduce a variety of sources of error in estimating student pathways and outcomes…
Who Tells Your Story? A Card-Sort Activity for Eliciting Authentic Narratives
Card sorting has been used in qualitative studies in various fields to better understand how individuals organize information and make choices based on it. As part of a mixed-methods study of why Black engineering students initially chose their major and why they subsequently decided to persist in or switch out of it, we developed a card-sort activity and used it in 79 semi-structured student interviews. Besides generating data relevant to the mi…
Gaining Access or Losing Ground? Socioeconomically Disadvantaged Students in Undergraduate Engineering, 1994—2003
Expanding access to engineering for underrepresented groups has by and large focused on ethnicity/race and gender, with little understanding of socioeconomic disadvantages. In this study, we use economic, human, and cultural capital theories to frame and then describe access to undergraduate engineering degree programs and bachelor's degrees. Using individual student-level data from 10 universities from the Multiple-Institution Database for Inves…
Who Tells Your Story? A Card-Sort Activity for Eliciting Authentic Narratives
Card sorting has been used in qualitative studies in various fields to better understand how individuals organize information and make choices based on it. As part of a mixed-methods study of why Black engineering students initially chose their major and why they subsequently decided to persist in or switch out of it, we developed a card-sort activity and used it in 79 semi-structured student interviews. Besides generating data relevant to the mi…
Gaining Access or Losing Ground? Socioeconomically Disadvantaged Students in Undergraduate Engineering, 1994—2003
Expanding access to engineering for underrepresented groups has by and large focused on ethnicity/race and gender, with little understanding of socioeconomic disadvantages. In this study, we use economic, human, and cultural capital theories to frame and then describe access to undergraduate engineering degree programs and bachelor's degrees. Using individual student-level data from 10 universities from the Multiple-Institution Database for Inves…
Who Tells Your Story? A Card-Sort Activity for Eliciting Authentic Narratives
Card sorting has been used in qualitative studies in various fields to better understand how individuals organize information and make choices based on it. As part of a mixed-methods study of why Black engineering students initially chose their major and why they subsequently decided to persist in or switch out of it, we developed a card-sort activity and used it in 79 semi-structured student interviews. Besides generating data relevant to the mi…
Midfield
Contribution: This work provides evidence of various approaches to studying longitudinal student unit record data in undergraduate education in the USA and the outcomes that can be realized using a large multi-institutional longitudinal dataset, Multiple-Institution Database for Investigating Longitudinal Development (MIDFIELD). Background: Cross-sectional studies introduce a variety of sources of error in estimating student pathways and outcomes…
Computer Science (2 works) · Engineering (2 works) · Higher Education Research Studies (2 works) · Psychology (2 works) · Sociology (2 works) · Bachelor (1 work) · Card sorting (1 work) · Career Development and Diversity (1 work) · Data science (1 work) · Demography (1 work)