Supporting underrepresented students in health sciences: a fuzzy cognitive mapping approach to program evaluation
Open accessAbstract
Background: The Students Training in Academia, Health, and Research (STAHR) Program at the University of Missouri-Kansas City (UMKC) strives to help students from low-income families that have experienced educational challenges due to poverty and prepare them to enter, persist, and graduate from a health sciences degree program at UMKC. Students in the program participated in fuzzy cognitive mapping (FCM) sessions to ensure that all voices of the program were heard to improve program implementation, and student success, and contribute to an equitable educational environment. Methods: Fuzzy Cognitive Mapping sessions for the 2020–2021 cohort of students (n = 52) were conducted to assess the strengths and weaknesses in program implementation, especially through the beginning of the COVID-19 pandemic. Students’ maps were coded by a team of researchers and then confirmed using confirmatory factor analysis. Results: Statistical analyses reveal that mentorship, workshops, and social support helped students to work toward their goal of obtaining a professional health sciences degree, while a lack of time, remote learning, and outside stressors inhibited their opportunities for success. Conclusions: The findings from a multipronged analysis of mapping data demonstrate the value of this innovative approach to the field, especially when looking to incorporate student voices.
AI snapshot
Written from the paper’s full text.
TL;DR
This study used fuzzy cognitive mapping (FCM) with 52 STAHR students at the University of Missouri-Kansas City in 2020–2021 to identify program facilitators and barriers, then confirmed the map structure with confirmatory factor analysis (CFA). Students identified mentorship, workshops/meetings, and social support as top facilitators, while time, COVID-19/remote learning, and outside stressors were top barriers.
Key findings
- In FCMapper centrality results, the top facilitators were Mentorship (n = 46, C = 0.88), Workshop/Meetings (n = 45, C = 0.69), and Social Supports (n = 26, C = 0.46); the top barriers were Time (n = 31, C = 0.55), COVID-19/Remote Learning (n = 29, C = 0.41), and Stressors/Outside Stressors (n = 23, C = 0.41).
- The CFA two-factor model fit well: χ²(19) = 19.73, p = 0.41, CFI = 0.98, TLI = 0.97, RMSEA = 0.03, SRMR = 0.08. Top facilitator loadings were Workshop/Meetings (λ = 0.80), Social Supports (λ = 0.54), and Mentorship (λ = 0.50); top barrier loadings were Lack of Engagement (λ = 0.56), Outside Stressors (λ = 0.49), and Workshop/Meeting Barriers (λ = 0.44).
- Combining FCMapper and CFA results, the authors added “Lack of Engagement” to the final list of significant barriers; students described lacking one-on-one opportunities for mentorship, networking, or bonding with mentors.
- Mentor–mentee encounter data reported by students showed that 81.4% of 117 encounters were virtual (via Zoom, Teams, or phone).
Methods
- Expert-driven FCM program evaluation: 13 virtual Zoom mapping sessions in April 2021 with 52 STAHR students from the 2020–2021 cohort, each session involving 3–5 students. Students filled blank maps with 3–5 facilitators and 3–5 barriers around the program goal and rated connection strength on a 1–3 scale.
- Coding: four researchers inductively developed a codebook with nine facilitator codes and eight barrier codes, coded all 52 maps, and reached consensus on discrepancies. Adjacency matrices were built in Microsoft Excel, min–max normalized (raw 1, 2, 3 → 0.25, 0.5, 0.75), combined into a final matrix, and analyzed in FCMapper for centrality.
- Statistical confirmation: CFA in R with the lavaan package tested a two-factor model with “facilitator” and “barrier” latent variables, using chi-square, SRMR, RMSEA, CFI, and TLI fit indices.
Limitations
- Stated by the authors: the 3-point scale limited capture of causal magnitudes; data collection was limited to Zoom due to the pandemic; program outcomes were not included; sample size limited subgroup analyses by race, ethnicity, gender, and income; and recruiting diverse mentors may become more challenging post-COVID due to burnout.
- Evident from the text: this is a single-institution, single-cohort program evaluation using self-reported mapping data, so findings may not generalize and cannot establish causal effects on retention or graduation.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
8 of 24 cited sources checked · 2 supported · 0 flagged · accuracy not yet measured
- Premisecitation
Cultural mismatch can cause a sense of alienation and discomfort that impedes academic performance.
“These students, who are often the first in their families to attend college, may experience what researchers call a “cultural mismatch” with college environments that are designed with mostly middle-class students in mind; this can cause a sense of alienation and discomfort that impedes academic performance [3, 4].”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [3] Allen, Ivan H., and Samuel M. Lester Jr. 2012. The Impact of a College Survival Skills Course and a Success Coach on Retention and Academic Performance 27. Virginia Tech Publishing. https://doi.org/10.21061/jcte.v27i1.536. source
The passage on student engagement and grades (indexed under REFERENCES; page unavailable) links engagement to academic outcomes and relationships to integration into college. It does not address whether a cultural mismatch causes alienation or discomfort that impedes performance. Searches for “cultural mismatch,” “alienation discomfort,” and “middle-class first generation college students” found no passage making that point. (LLM, conf=0.73)
Experimental — accuracy not yet measured - cites [4] Stephens NM, Fryberg SA, Markus HR, Johnson CS, Covarrubias R. Unseen disadvantage: How American universities’ focus on independence undermines the academic performance of first-generation college students. J Pers Soc Psychol. 2012;102:1178–97. https://doi.org/10.1037/a0027143. source
- Premisecitation
Students who are often the first in their families to attend college may experience a cultural mismatch with college environments that are designed with mostly middle-class students in mind.
“These students, who are often the first in their families to attend college, may experience what researchers call a “cultural mismatch” with college environments that are designed with mostly middle-class students in mind; this can cause a sense of alienation and discomfort that impedes academic performance [3, 4].”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [3] Allen, Ivan H., and Samuel M. Lester Jr. 2012. The Impact of a College Survival Skills Course and a Success Coach on Retention and Academic Performance 27. Virginia Tech Publishing. https://doi.org/10.21061/jcte.v27i1.536. source
The passages labeled REFERENCES (page unavailable) discuss student engagement, integration, grades, and persistence, but do not address first-generation students or a mismatch with middle-class college environments. Searches for cultural mismatch, first-generation students, and alienation found no passage supporting the attributed claim. (LLM, conf=0.73)
Experimental — accuracy not yet measured - cites [4] Stephens NM, Fryberg SA, Markus HR, Johnson CS, Covarrubias R. Unseen disadvantage: How American universities’ focus on independence undermines the academic performance of first-generation college students. J Pers Soc Psychol. 2012;102:1178–97. https://doi.org/10.1037/a0027143. source
- Premisecitation
When first-year college students have access to mentors and peer role models who support them to persist in their studies and connect them with necessary resources, the outcomes improve.
“When first-year college students have access to mentors and peer role models who support them to persist in their studies and connect them with necessary resources, the outcomes improve [3].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [3] Allen, Ivan H., and Samuel M. Lester Jr. 2012. The Impact of a College Survival Skills Course and a Success Coach on Retention and Academic Performance 27. Virginia Tech Publishing. https://doi.org/10.21061/jcte.v27i1.536. source
The passage labeled REFERENCES (page unavailable) links first-year student engagement, relationships, and tutoring/coaching with better grades and persistence. It does not establish the more specific claim that access to mentors and peer role models who connect students with resources improves outcomes. (LLM, conf=0.82)
Experimental — accuracy not yet measured
- Findingown data
Five variables were retained in the "barriers" factor.
“Five variables were retained in the “barriers” factor”
Quote in the paperNot a substantial claim- Rests on an assumption: The weights and connections students assigned on the fuzzy cognitive maps validly measure the impact of each concept on student success.
- Findingown data
Students who mentioned Lack of Engagement shared feedback about lacking one-on-one opportunities for mentorship, networking, or bonding with mentors.
“Students who mentioned “Lack of Engagement” shared feedback about lacking one-on-one opportunities for mentorship, networking, or bonding with mentors.”
Quote in the paperNot a substantial claim
- Findingown data
One program structure-related concept appeared both as a facilitator and a barrier, but with different aspects mentioned by students.
“There was one program structure-related concept that appeared both as a facilitator and a barrier, but with different aspects mentioned by students (see Appendix 1).”
Quote in the paperNot a substantial claim - Findingown data
The most impactful facilitator to student success was Mentorship (n = 46, C = 0.88), characterized by mentorship experiences involving both faculty and students.
“The most impactful facilitator to student success was “Mentorship” (n = 46, C = 0.88), characterized by mentorship experiences involving both faculty and students.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Students in the FCM sessions are experts with knowledge and experience with the STAHR program.
- The authors state this as an assumption: Centrality is a measure of the importance of map concepts, and concepts with high centrality indicate a high impact.
- Findingown data
The two-factor CFA model with "facilitator" and "barrier" as latent variables had excellent fit: χ2(19) = 19.73, p = 0.41, CFI = 0.98, TLI = 0.97, RMSEA = 0.03, SRMR = 0.08.
“The two-factor model, with the “facilitator” and “barrier” as its individual latent variables, had an excellent fit, χ2(19) = 19.73, p = 0.41, CFI = 0.98, TLI = 0.97, RMSEA = 0.03, SRMR = 0.08.”
Quote in the paperSubstantial claim- Rests on an assumption: The weights and connections students assigned on the fuzzy cognitive maps validly measure the impact of each concept on student success.
- Findingown data
Students expressed that tensions among balancing school, personal lives, familial expectations, financial responsibilities, health issues, and feelings of homesickness were sometimes too burdensome.
“For the “Stressors/Outside Stressors” concept, students expressed those tensions among balancing school, their personal lives, familial expectations, financial responsibilities, health issues, and feelings of homesickness were sometimes too burdensome”
Quote in the paperNot a substantial claim - Findingown data
Combining FCMapper and CFA results, in addition to other concepts identified by FCMapper, Lack of Engagement was added to the final list of significant barriers in the STAHR program.
“Overall, combining the results from FCMapper and the CFA, in addition to the other concepts identified by FCMapper, we added “Lack of Engagement” to our final list of significant barriers in the STAHR program.”
Quote in the paperSubstantial claim- Rests on an assumption: The weights and connections students assigned on the fuzzy cognitive maps validly measure the impact of each concept on student success.
- Findingown data
The second most impactful facilitating concept was Workshop/Meetings (n = 45, C = 0.69).
“The second most impactful facilitating concept was “Workshop/Meetings” (n = 45, C = 0.69).”
Quote in the paperNot a substantial claim- The authors state this as an assumption: Students in the FCM sessions are experts with knowledge and experience with the STAHR program.
- The authors state this as an assumption: Centrality is a measure of the importance of map concepts, and concepts with high centrality indicate a high impact.
- Findingown data
The top three barriers in the CFA barriers factor were Lack of Engagement (λ = 0.56), Outside Stressors (λ = 0.49), and Workshop/Meeting Barriers (λ = 0.44).
“with the top three being 1) Lack of Engagement (λ = 0.56), 2) Outside Stressors (λ = 0.49), and 3) Workshop/Meeting Barriers (λ = 0.44).”
Quote in the paperSubstantial claim- Rests on an assumption: The weights and connections students assigned on the fuzzy cognitive maps validly measure the impact of each concept on student success.
- Findingown data
A lack of time inhibited students' opportunities for success.
“Statistical analyses reveal that mentorship, workshops, and social support helped students to work toward their goal of obtaining a professional health sciences degree, while a lack of time, remote learning, and outside stressors inhibited their opportunities for success.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Students in the FCM sessions are experts with knowledge and experience with the STAHR program.
- The authors state this as an assumption: Centrality is a measure of the importance of map concepts, and concepts with high centrality indicate a high impact.
- Findingown data
Statistical analyses reveal that mentorship, workshops, and social support helped students to work toward their goal of obtaining a professional health sciences degree.
“Statistical analyses reveal that mentorship, workshops, and social support helped students to work toward their goal of obtaining a professional health sciences degree, while a lack of time, remote learning, and outside stressors inhibited their opportunities for success.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Students in the FCM sessions are experts with knowledge and experience with the STAHR program.
- The authors state this as an assumption: Centrality is a measure of the importance of map concepts, and concepts with high centrality indicate a high impact.
- Findingown data
The most impactful barrier to success in the STAHR Program was "Time" (n = 31, C = 0.55).
“Conversely, the most impactful barrier to success in the STAHR Program was “Time” (n = 31, C = 0.55)”
Quote in the paperSubstantial claim- Rests on an assumption: The weights and connections students assigned on the fuzzy cognitive maps validly measure the impact of each concept on student success.
- Findingown data
Nine concepts facilitate the program goal, meaning that they increase the likelihood that students will be successful in completing a professional health sciences degree and in the program.
“Nine of these concepts “facilitate” the program goal, meaning that they increase the likelihood that students will be successful in completing a professional health sciences degree and in the program.”
Quote in the paperSubstantial claim - Findingown data
Remote learning inhibited students' opportunities for success.
“Statistical analyses reveal that mentorship, workshops, and social support helped students to work toward their goal of obtaining a professional health sciences degree, while a lack of time, remote learning, and outside stressors inhibited their opportunities for success.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Students in the FCM sessions are experts with knowledge and experience with the STAHR program.
- The authors state this as an assumption: Centrality is a measure of the importance of map concepts, and concepts with high centrality indicate a high impact.
- Findingown data
Students expressed that workshop topics, such as monthly STAHR meetings with different professionals who gave refreshing perspectives, were helpful to their career and professional development.
“Students expressed that workshop topics, such as monthly STAHR meetings with different professionals who gave refreshing perspectives, were helpful to their career and professional development.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Students in the FCM sessions are experts with knowledge and experience with the STAHR program.
- The authors state this as an assumption: Centrality is a measure of the importance of map concepts, and concepts with high centrality indicate a high impact.
- Findingown data
Eight concepts were barriers, meaning that they decrease the likelihood that students will be successful in completing their professional health sciences degree or in the program.
“Eight of these concepts were “barriers,” meaning that they decrease the likelihood that students will be successful in completing their professional health sciences degree or in the program.”
Quote in the paperSubstantial claim - Findingown data
The third most impactful facilitator was Social Supports (n = 26, C = 0.46), in which students identified facilitating concepts such as feeling a sense of belonging with other peers in the STAHR Program, support from friends and family, and welcoming STAHR staff to guide them through the challenges of being a first-generation or minoritized student.
“The third most impactful facilitator was “Social Supports” (n = 26, C = 0.46), in which students identified facilitating concepts such as feeling a sense of belonging with other peers in the STAHR Program, support from friends and family, and welcoming STAHR staff to guide them through the challenges of being a first-generation or minoritized student.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: Students in the FCM sessions are experts with knowledge and experience with the STAHR program.
- The authors state this as an assumption: Centrality is a measure of the importance of map concepts, and concepts with high centrality indicate a high impact.
- Findingown data
Overall, the CFA analysis results are congruent with the results from FCMapper software.
“Overall, the CFA analysis results are congruent with the results from FCMapper software”
Quote in the paperNot a substantial claim- Rests on an assumption: The weights and connections students assigned on the fuzzy cognitive maps validly measure the impact of each concept on student success.
- Findingown data
Outside stressors inhibited students' opportunities for success.
“Statistical analyses reveal that mentorship, workshops, and social support helped students to work toward their goal of obtaining a professional health sciences degree, while a lack of time, remote learning, and outside stressors inhibited their opportunities for success.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Students in the FCM sessions are experts with knowledge and experience with the STAHR program.
- The authors state this as an assumption: Centrality is a measure of the importance of map concepts, and concepts with high centrality indicate a high impact.
- Findingnone given
Students reported experiencing financial difficulties.
“Likewise, students reported experiencing financial difficulties.”
Quote in the paperSubstantial claim - Findingown data
Our study shows that students appreciate when a program makes an effort to accommodate their schedules.
“our study shows that students appreciate when a program makes an effort to accommodate their schedules.”
Quote in the paperSubstantial claim - Findingcitation
Time management is challenging for STAHR students because they have to juggle coursework, clinical rotations/shadowing, and employment.
“Time management is challenging for STAHR students, as they have to juggle between coursework, clinical rotations/shadowing, and employment”
Quote in the paperSubstantial claim - Findingreasoning
Students experience stressors that hinder their success in the STAHR Program and within their health sciences degree.
“Conversely, students experience stressors that hinder their success in the STAHR Program and within their health sciences degree.”
Quote in the paperSubstantial claim - Findingreasoning
Students face additional stress in balancing their numerous conflicting priorities while participating in all program activities.
“As a result, students face additional stress in balancing their numerous conflicting priorities while participating in all program activities”
Quote in the paperSubstantial claim - Findingown data
Through the mapping sessions, students in STAHR acknowledge that mentorship is the top facilitator of the program.
“Through the mapping sessions, students in STAHR acknowledge that mentorship is the top facilitator of our program.”
Quote in the paperSubstantial claim- Rests on an assumption: The mapping sessions and CFA capture the facilitators and barriers that actually affect STAHR students’ success.
- Findingown data
Based on mentor-mentee encounter data reported by students during this cohort, a majority of their encounters (81.4% out of 117 encounters) were virtual (via Zoom, Teams, or phone).
“Based on the mentor–mentee encounter data reported by students during this cohort, a majority of their encounters (81.4% out of 117 encounters) were virtual (via Zoom, Teams, or phone).”
Quote in the paperNot a substantial claim- Rests on an assumption: Students’ self-reported mentor–mentee encounter data are accurate.
- Findingown data
Over 20 professional mentors served as direct support or liaison for their mentees in relation to these support areas.
“Over 20 professional mentors served as direct support or liaison for their mentees in relation to these support areas.”
Quote in the paperNot a substantial claim - Premisenone given
The FCMapper process does not confirm or validate the network structure using a statistical model.
“Although FCMapper is helpful in investigating the network of responses using a single data set, this process does not confirm or validate the network structure using a statistical model.”
Quote in the paperSubstantial claim - Study design and conductcitation
The model fit results from this analysis meet the threshold guidelines as outlined in Hu & Bentler and Jackson et al.
“The model fit results from this analysis meet the threshold guidelines as outlined in Hu & Bentler and Jackson et al. [29, 30].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [29] Hu L-T, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Struct Equ Modeling. 1999;6:1–55. https://doi.org/10.1080/10705519909540118. source
- cites [30] Jackson DL, Arthur Gillaspy J, Purc-Stephenson R. Reporting practices in confirmatory factor analysis: An overview and some recommendations. Psychol Methods. 2009;14:6–23. https://doi.org/10.1037/a0014694. source
- Premisecitation
Students from lower socioeconomic backgrounds have much lower aspirations specifically for pursuing advanced degrees in medicine or law than their higher socioeconomic peers.
“Further, students from lower socioeconomic backgrounds are less likely to persist through the first year of college, “less likely to persist to a bachelor’s degree or to have graduate degree aspirations” [2], and their aspirations specifically for pursuing advanced degrees in medicine or law are much lower than those of their higher socioeconomic peers [2].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [2] Walpole MaryBeth. Socioeconomic Status and College: How SES Affects College Experiences and Outcomes. Rev High Educ. 2003;27:45–73. https://doi.org/10.1353/rhe.2003.0044. source
- Study design and conductreasoning
Using the same data, the authors employed confirmatory factor analysis (CFA) to confirm the underlying structure of the mapping data.
“Therefore, using the same data, we employed confirmatory factor analysis (CFA) to confirm the underlying structure of the mapping data.”
Quote in the paperSubstantial claim - Premisecitation
Students from lower socioeconomic backgrounds are less likely to persist through the first year of college.
“Further, students from lower socioeconomic backgrounds are less likely to persist through the first year of college, “less likely to persist to a bachelor’s degree or to have graduate degree aspirations” [2], and their aspirations specifically for pursuing advanced degrees in medicine or law are much lower than those of their higher socioeconomic peers [2].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [2] Walpole MaryBeth. Socioeconomic Status and College: How SES Affects College Experiences and Outcomes. Rev High Educ. 2003;27:45–73. https://doi.org/10.1353/rhe.2003.0044. source
- Interpretationreasoning
With little-to-no access to support services, STAHR students faced compounded challenges during the pandemic.
“With little-to-no access to these support services, these students faced compounded challenges during the pandemic”
Quote in the paperSubstantial claim- Rests on an assumption: The traditional higher education environment was not equipped to respond to pandemic challenges.
- Interpretationown data
Many of the barriers and stressors students experienced can be attributed to the COVID-19 remote learning environment, which caused feelings of a lack of engagement between students and the program.
“Furthermore, many of the barriers and stressors students experienced can also be attributed to the COVID-19 remote learning environment that caused feelings of a lack of engagement between students and the program.”
Quote in the paperNot a substantial claim - Premisecitation
Many of STAHR students' peers do not need to rely on their own employment to finance their education.
“unlike many of their peers who do not need to rely on their own employment to finance their education [2].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [2] Walpole MaryBeth. Socioeconomic Status and College: How SES Affects College Experiences and Outcomes. Rev High Educ. 2003;27:45–73. https://doi.org/10.1353/rhe.2003.0044. source
- Premisecitation
Research indicated that students who feel they have a voice in class are seven times more likely to feel motivated than those who do not.
“Research indicated that students who feel they have a voice in class are seven times more likely to feel motivated than those who do not [35].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [35] Quaglia R, Fox K. A lesson in listening. RSA J. 2016;162(5565):46–8.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- May combine two claims. 21
- Classified as probably not a substantial claim. 33
- The quote only partly states this claim. 1
May combine two claims.
PremisecitationIn a cross-sectional study of self-reported race/ethnicity of US medical school graduates from 2002 to 2017, numbers and proportions of Black, Hispanic, and American Indian or Alaska Native medical school matriculants increased, but at a rate slower than their age-matched counterparts in the US population, resulting in increased underrepresentation.
“In a cross-sectional study of self-reported race/ethnicity of US medical school graduates from 2002 to 2017, “numbers and proportions of Black, Hispanic, and American Indian or Alaska Native medical school matriculants increased, but at a rate slower than their age-matched counterparts in the US population, resulting in increased underrepresentation” [1].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [1] Lett E, Moses Murdock H, Orji WU, Aysola J, Sebro R. Trends in Racial/Ethnic Representation Among US Medical Students. JAMA Netw Open. 2019;2:e1910490. https://doi.org/10.1001/jamanetworkopen.2019.10490. source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThere are two general methods for constructing FCMs that can be combined in a hybrid fashion: expert-driven and data-driven.
“There are two general methods for constructing FCMs that can be combined in a hybrid fashion: expert-driven and data-driven [10].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [10] Mkhitaryan S, Giabbanelli PJ, De Vries NK, Crutzen R. Dealing with complexity: How to use a hybrid approach to incorporate complexity in health behavior interventions. Intelligence-Based Medicine. 2020;3–4:100008. https://doi.org/10.1016/j.ibmed.2020.100008. source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationGlobally, students have expressed high distress levels, low engagement, and confidence in their academic performance and professional development in the wake of the COVID-19 pandemic.
“Globally, students have expressed high distress levels, low engagement, and confidence in their academic performance and professional development in the wake of the COVID-19 pandemic [5, 6].”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [5] Abbasi MS, Ahmed N, Sajjad B, Alshahrani A, Saeed S, Sarfaraz S, Alhamdan RS, Vohra F, Abduljabbar T. E-Learning perception and satisfaction among health sciences students amid the COVID-19 pandemic. Work (Reading, Mass). 2020;67:549–56. https://doi.org/10.3233/WOR-203308. source
- cites [6] Wang X, Hegde S, Son C, Keller B, Smith A, Sasangohar F. Investigating Mental Health of US College Students During the COVID-19 Pandemic: Cross-Sectional Survey Study. J Med Internet Res. 2020;22:e22817. https://doi.org/10.2196/22817. source
The Results (COVID-19–Related Stress; page unavailable) report increased stress or anxiety among surveyed US college students. The Discussion (Principal Findings; page unavailable) reports difficulty concentrating and worry about academic performance. The study does not establish these findings globally or report low engagement or confidence in professional development. (LLM, conf=0.87)
Experimental — accuracy not yet measured
Classified as probably not a substantial claim.
PremisecitationFCM takes a semi-quantitative approach to describing complex systems by aggregating qualitative and quantitative data collected from mapping participants and combining the data in a way that permits an understanding of the system as a whole.
“Overall, FCM takes what Olazabal et al. describe as a “semi-quantitative” approach to describing complex systems by aggregating qualitative and quantitative data collected from mapping participants and combining the data in a way that permits an understanding of the system as a whole [17].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [17] Olazabal M, Neumann MB, Foudi S, Chiabai A. Transparency and Reproducibility in Participatory Systems Modelling: the Case of Fuzzy Cognitive Mapping. Syst Res Behav Sci. 2018;35:791–810. https://doi.org/10.1002/sres.2519. source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationRepresentation matters, leading to an increased sense of belonging.
“Since we know representation matters, leading to an increased sense of belonging [34]”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [34] Kricorian K, Seu M, Lopez D, Ureta E, Equils O. Factors influencing participation of underrepresented students in STEM fields: matched mentors and mindsets. International Journal of STEM Education. 2020;7:16. https://doi.org/10.1186/s40594-020-00219-2. source
The Discussion and conclusions section reports that women engineering students assigned a female peer mentor experienced greater belonging, and recommends highlighting diverse STEM professionals to help strengthen belonging. Those passages support the importance of representation, but the paper presents a general increase in belonging as a potential benefit, not an established outcome across settings. (LLM, conf=0.82)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe authors used 17 broad themes to code the maps.
“We used 17 broad themes to code the maps.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe second and third most impactful barriers in the STAHR Program were "COVID-19/Remote Learning" (n = 29, C = 0.41) and "Stressors/Outside Stressors" (n = 23, C = 0.41), which ranked equally.
“The second and third most impactful barriers were “COVID-19/Remote Learning” (n = 29, C = 0.41) and “Stressors/Outside Stressors” (n = 23, C = 0.41); these concepts ranked equally in responses.”
Quote in the paperNot a substantial claim- Rests on an assumption: The weights and connections students assigned on the fuzzy cognitive maps validly measure the impact of each concept on student success.
The quote only partly states this claim.
Findingown dataThe CFA results for the top facilitating variables were consistent with the FCMapper results.
“which is consistent with the above-mentioned results.”
Quote in the paperNot a substantial claim- Rests on an assumption: The weights and connections students assigned on the fuzzy cognitive maps validly measure the impact of each concept on student success.
Classified as probably not a substantial claim.
Findingown dataA total of 52 maps were completed by students in the STAHR Program.
“A total of 52 maps were completed by students in the STAHR Program.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe top three impactful facilitating variables were Workshop/Meetings (λ = 0.80), Social Supports (λ = 0.54), and Mentorship (λ = 0.50).
“These results indicated that the top three impactful facilitating variables were 1) Workshop/Meetings (λ = 0.80), 2) Social Supports (λ = 0.54), and 3) Mentorship (λ = 0.50)”
Quote in the paperSubstantial claim- Rests on an assumption: The weights and connections students assigned on the fuzzy cognitive maps validly measure the impact of each concept on student success.
May combine two claims.
Findingown dataStudents reported that decreased activities due to COVID, Zoom/technology fatigue, and fewer opportunities for clinical experience hindered their capacity for success.
“Regarding “COVID-19/Remote Learning,” students shared that the decrease in activities due to COVID, Zoom/technology fatigue, and fewer opportunities for clinical experience hindered their capacity for success.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenLow-income, educationally challenged, or first-generation students often carry more external pressures than their peers.
“especially as low-income, educationally challenged, or first-generation students who often carry more external pressures than their peers.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataStudents shared experiences that benefited them throughout the year such as being matched with a mentor within the same field of study, one-on-one meetings with mentors, and an overall sense of compassion and encouragement from their mentor.
“Students shared experiences that benefited them throughout the year such as being matched with a mentor within the same field of study, one-on-one meetings with mentors, and an overall sense of compassion and encouragement from their mentor.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Students in the FCM sessions are experts with knowledge and experience with the STAHR program.
- The authors state this as an assumption: Centrality is a measure of the importance of map concepts, and concepts with high centrality indicate a high impact.
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe research team finalized nine codes for facilitators and eight codes for barriers.
“Together and using an inductive process, the research team finalized nine codes for facilitators and eight codes for barriers.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataStudents struggled with balancing time between school and other programmatic obligations, being in a remote environment due to COVID-19, dealing with outside stressors, a program structure reflective of the program's infancy, and misdirected workshop topics.
“Alternatively, students struggled with balancing time between school and other programmatic obligations, being in a remote environment due to COVID-19, dealing with outside stressors, a program structure reflective of the program’s infancy, and misdirected workshop topics.”
Quote in the paperSubstantial claim- Rests on an assumption: The 2020–2021 STAHR cohort’s experiences are representative of STAHR students generally.
May combine two claims.
Findingnone givenStudents sometimes find themselves in a difficult situation where they are worn out from meeting virtually but are also unable to attend in-person meetings because of their schedule.
“In addition, students sometimes find themselves in a difficult situation where they are worn out from meeting virtually but are also unable to attend the in-person meetings because of their schedule.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThrough the 2020-2021 academic year, the most helpful factors the STAHR Program provided were mentorship from peers and mentors in the community, workshops aimed to support academic growth, and social support from the program and from their community.
“Our study found that through the 2020–2021 academic year, the most helpful factors the STAHR Program provided were mentorship from peers and mentors in the community, workshops aimed to support their academic growth, and social support from the program and from their community.”
Quote in the paperSubstantial claim- Rests on an assumption: The 2020–2021 STAHR cohort’s experiences are representative of STAHR students generally.
Probably not a substantial claim: may not pass S4 (based).
Findingnone givenPrior to the COVID-19 pandemic, the racially and ethnically diverse students served by the STAHR program relied heavily on support services.
“Prior to the COVID-19 pandemic, the racially and ethnically diverse students served by the STAHR program relied heavily on support services”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataTopics for mentor-mentee discussion included academic/professional development, psychological development, identity development, social development, and leadership development.
“Topics for discussion included academic/professional development, psychological development, identity development, social development, and leadership development.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenEach researcher blindly coded two groups of maps based on the codebook and finalized the third.
“Each researcher blindly coded two groups of maps based on the codebook and finalized the third.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataThe four researchers finalized the codes for all maps, discussed discrepancies, and reached a consensus on the codes assigned to each map.
“The four researchers then got together to finalize the codes for all the maps, discussed any discrepancies, and reached a consensus on the codes assigned to each map.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenWritten informed consent was provided and obtained from students before each mapping session.
“Written informed consent was provided and obtained from students before each mapping session.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
Interpretationown dataThe findings from a multipronged analysis of mapping data demonstrate the value of this innovative approach to the field, especially when looking to incorporate student voices.
“The findings from a multipronged analysis of mapping data demonstrate the value of this innovative approach to the field, especially when looking to incorporate student voices.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: Students in the FCM sessions are experts with knowledge and experience with the STAHR program.
- The authors state this as an assumption: Centrality is a measure of the importance of map concepts, and concepts with high centrality indicate a high impact.
- The authors state this as an assumption: FCM captures the intuitive knowledge of students and develops a multi-layered understanding of the critical components and processes within the program that support students to become successful.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenTeam members were trained in coding and analysis procedures to ensure consistency throughout the evaluation process.
“Additionally, team members were trained in coding and analysis procedures to ensure consistency throughout the evaluation process.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationThe FCM analytical method permits qualitative graphs to be computable and analyzed using statistical techniques.
“The FCM analytical method permits qualitative graphs to be computable and analyzed using statistical techniques [7].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [7] Jetter, Antonie. 2006. Fuzzy Cognitive Maps for Engineering and Technology Management: What Works in Practice? In 2006 Technology Management for the Global Future - PICMET 2006 Conference, 498–512. Istanbul, Turkey: IEEE. https://doi.org/10.1109/PICMET.2006.296648. source
Classified as probably not a substantial claim.
PremisecitationFCM includes a causal relationship in the approach, where participants provide quantification for connections based on their perception of the cause-and-effect relationships among concepts.
“FCM has its uniqueness in including a causal relationship in the approach, where participants provide quantification for connections based on their perception of the cause-and-effect relationships among concepts [9].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [9] Singh PK, Chudasama H. Assessing impacts and community preparedness to cyclones a fuzzy cognitive mapping approach. Climatic Change. 2017;143:337–54. source
May combine two claims.
PremisecitationFCM is an evidence-based methodology proven as a reliable knowledge-based model that facilitates sense-making by helping program participants communicate strategies and decisions.
“FCM is an evidence-based methodology proven as a reliable knowledge-based model that facilitates “sense-making” by helping program participants communicate strategies and decisions [7, 8].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [7] Jetter, Antonie. 2006. Fuzzy Cognitive Maps for Engineering and Technology Management: What Works in Practice? In 2006 Technology Management for the Global Future - PICMET 2006 Conference, 498–512. Istanbul, Turkey: IEEE. https://doi.org/10.1109/PICMET.2006.296648. source
- cites [8] Kosko B. Fuzzy cognitive maps. Int J Man Mach Stud. 1986;24:65–75. https://doi.org/10.1016/S0020-7373(86)80040-2. source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenStudents were assured that their responses would be held confidential and no identifiable information would be shared with the Program.
“Before the mapping sessions began, students were assured that their responses would be held confidential and no identifiable information would be shared with the Program.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductown dataSeveral model fit indices were used to determine if a CFA model fit well with the existing data.
“Several model fit indices were used to determine if a CFA model fit well with the existing data.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductown dataFour team members developed a codebook based on relevant and reoccurring themes found in students' responses on the ovals.
“Four team members carefully read through the maps, listened to the session audios, referred to the notes, and developed a codebook based on relevant and reoccurring themes found in students’ responses on the ovals (see codebook in Additional file 1).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenInstitutional Review Board approval for the study was secured through the university.
“Institutional Review Board approval for the study was secured through the university.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationStudents from lower socioeconomic backgrounds are less likely to persist to a bachelor's degree or to have graduate degree aspirations.
“Further, students from lower socioeconomic backgrounds are less likely to persist through the first year of college, “less likely to persist to a bachelor’s degree or to have graduate degree aspirations” [2], and their aspirations specifically for pursuing advanced degrees in medicine or law are much lower than those of their higher socioeconomic peers [2].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [2] Walpole MaryBeth. Socioeconomic Status and College: How SES Affects College Experiences and Outcomes. Rev High Educ. 2003;27:45–73. https://doi.org/10.1353/rhe.2003.0044. source
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Study design and conductnone givenAll researchers were adequately trained to facilitate mapping sessions with students.
“In preparation, all researchers were adequately trained to facilitate mapping sessions with students.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMany students from all walks of life find mentorship helpful, whether from faculty or upper-level students.
“As found in other research studies, many students from all walks of life find mentorship helpful, whether it’s from faculty or upper-level students [32].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [32] Crisp G, Cruz I. Mentoring College Students: A Critical Review of the Literature Between 1990 and 2007. Res High Educ. 2009;50:525–45. https://doi.org/10.1007/s11162-009-9130-2. source
May combine two claims.
Interpretationown dataOur findings highlighted the strengths of the STAHR program, indicating the structural elements that play integral roles in the success of students' experiences.
“Our findings highlighted the strengths of the STAHR program, indicating the structural elements that play integral roles in the success of students’ experiences.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationStudies show that students benefit by receiving support in developing a sense of belonging to the professional field, as well as support in developing their professional identity.
“For example, studies show that students benefit by receiving support in developing a sense of belonging to the professional field, as well as support in developing their professional identity [33].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [33] Boyer, Kristy Elizabeth, E. Nathan Thomas, Audrey S. Rorrer, Deonte Cooper, and Mladen A. Vouk. 2010. Increasing technical excellence, leadership and commitment of computing students through identity-based mentoring. In Proceedings of the 41st ACM technical symposium on Computer science education, 167–171. Milwaukee Wisconsin USA: ACM. https://doi.org/10.1145/1734263.1734320. source
Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.
Interpretationown dataThe FCM results clearly demonstrated the need for why student voices are vital to their personal success as well as to the overall success of the STAHR Program.
“Further, the FCM results clearly demonstrated the need for why student voices are vital to their personal success as well as to the overall success of the STAHR Program.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
InterpretationreasoningBy taking into consideration students' real needs and modifying support, a program promotes increased involvement and retention of students, which can lead to better program outcomes.
“By doing so, the program promotes increased involvement and retention of students, which can then lead to better program outcomes.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Interpretationnone givenThe present study employed fuzzy cognitive mapping as an exemplary tool for researchers and evaluators to seek out the voices of those with lived experiences in a program to better understand facilitators and inhibitors of program or participant success.
“The present study employed the fuzzy cognitive mapping technique as an exemplary tool for researchers and evaluators alike who aim to seek out the voices of those with lived experiences in a program to better understand the facilitators and inhibitors of program or participant success.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe present study had a limitation of sample size.
“Another limitation of the present study was the sample size”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThe barriers identified by students were particularly valuable in pointing out blind spots in program implementation and directing areas for future program evolvement.
“In turn, the barriers identified by students were particularly valuable in pointing out the blind spots in the program implementation and directing areas for future program evolvement.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenProgram outcomes were not included in the study.
“One limitation of the study is that program outcomes were not included in the study.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenData collection was limited to Zoom due to the pandemic.
“In addition, the data collection method was limited to Zoom due to the pandemic.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningFactors directly related to outcomes were not investigated.
“Given the scope of this study, factors directly related to outcomes were not investigated.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThis study used a 3-point scale for simplicity.
“First of all, this study used a 3-point scale for simplicity.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
Interpretationnone givenFuzzy cognitive mapping offers researchers a multi-pronged approach that computes suggestions for improvement while allowing for aspects of programs that work to remain intact.
“Fuzzy cognitive mapping offers researchers a multi-pronged approach that computes suggestions for improvement while allowing for aspects of programs that work to remain intact.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
InterpretationreasoningUtilizing FCM allows analysis of program successes and limitations from students' perspectives, thus creating a program tailored to students' needs from year to year.
“Utilizing FCM allows us to analyze program successes and limitations from the students’ perspectives, thus creating a program tailored to students’ needs from year to year.”
Quote in the paperSubstantial claim
The authors state this as an assumption.
Students in the FCM sessions are experts with knowledge and experience with the STAHR program.
“Under the fuzzy logic theory framework, students in the FCM sessions are experts with knowledge and experience with the STAHR program”
The authors state this as an assumption.
Centrality is a measure of the importance of map concepts, and concepts with high centrality indicate a high impact.
“Centrality is a measure of the importance of map concepts; therefore, concepts with high centrality indicate a high impact.”
The authors state this as an assumption.
FCM captures the intuitive knowledge of students and develops a multi-layered understanding of the critical components and processes within the program that support students to become successful.
“FCM helps us capture the intuitive knowledge of the students in the program and helps develop a multi-layered understanding of the critical components and processes within the program that support students to become successful in their program.”
The paper relies on this without support.
The weights and connections students assigned on the fuzzy cognitive maps validly measure the impact of each concept on student success.
“We conducted CFA (see code attached as Appendix 2) with the weights and connections on the maps to investigate the variables that facilitate or hinder student success.”
The paper relies on this without support.
The mapping sessions and CFA capture the facilitators and barriers that actually affect STAHR students’ success.
“The FCM approach helped the program understand the urgent needs of students from low-income families experiencing educational challenges due to poverty.”
The paper relies on this without support.
Students’ self-reported mentor–mentee encounter data are accurate.
“Based on the mentor–mentee encounter data reported by students during this cohort, a majority of their encounters (81.4% out of 117 encounters) were virtual (via Zoom, Teams, or phone).”
The paper relies on this without support.
The 2020–2021 STAHR cohort’s experiences are representative of STAHR students generally.
“Our study found that through the 2020–2021 academic year, the most helpful factors the STAHR Program provided were mentorship from peers and mentors in the community, workshops aimed to support their academic growth, and social support from the program and from their community.”
The paper relies on this without support.
The traditional higher education environment was not equipped to respond to pandemic challenges.
“whereas the traditional higher education environment was not equipped to respond in such times.”
The paper relies on this without support.
Lack of readily available resources negatively affected students’ mental health and interrupted their academic performance.
“For instance, due to a lack of readily available resources, students’ mental health was negatively affected, thus interrupting their academic performance.”
The paper relies on this without support.
Many students lost their jobs and had no way to support themselves with basic needs like food and housing.
“many students lost their jobs with no way to support themselves with basic needs like food and housing.”
Statistics recomputed
Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.
- Consistentχ²(19) = 19.73reported p = .41 · recomputed p = .411
“χ2(19) = 19.73, p = .41”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Student status conflicts with Table 1
MinorThe text says all 52 students were full-time, but Table 1 lists 51 full-time students and one part-time student.
“All students reported being full-time students”
“| Full-time Student | 51 | 98.1 | | Part-time Student | 1 | 1.9 |”
Cites
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788 · see citing works
<b>lavaan</b> : An <i>R</i> Package for Structural Equation Modeling
Rosseel, Y. (2012) · Journal of Statistical Software · doi:10.18637/jss.v048.i02 · Cited by 27,955 · see citing works
Comparative fit indexes in structural models.
Bentler, P. M. (1990) · Psychological Bulletin · doi:10.1037/0033-2909.107.2.238 · Cited by 25,266 · see citing works
Significance tests and goodness of fit in the analysis of covariance structures.
Bentler, P. M., & Bonett, D. G. (1980) · Psychological Bulletin · doi:10.1037/0033-2909.88.3.588 · Cited by 19,266 · see citing works
A Reliability Coefficient for Maximum Likelihood Factor Analysis
Tucker, L. R., & Lewis, C. (1973) · Psychometrika · doi:10.1007/bf02291170 · Cited by 7,330 · cited 1× · see citing works
“We also used a Comparative Fit Index (CFI), which indicates a close fit (CFI > 0.95), and Tucker-Lewis Index (TLI), which denotes a good fit (TLI > 0.95) to best prioritize the needs of STAHR students [25, 27, 28].”
InfluentialKosko, B. (1986) · International Journal of Man-Machine Studies · doi:10.1016/s0020-7373(86)80040-2 · Cited by 3,576 · see citing works
Applications of Structural Equation Modeling in Psychological Research
MacCallum, R. C., & Austin, J. T. (2000) · Annual Review of Psychology · doi:10.1146/annurev.psych.51.1.201 · Cited by 2,634 · see citing works
Reporting practices in confirmatory factor analysis: an overview and some recommendations
Jackson, D. L., Gillaspy, J. A., & Purc-Stephenson, R. (2009) · Psychological Methods · doi:10.1037/a0014694 · Cited by 2,242 · see citing works
Wang, X., Hegde, S., Son, C., Keller, B., Smith, A., & Sasangohar, F. (2020) · Journal of Medical Internet Research · doi:10.2196/22817 · Cited by 1,463 · see citing works
Stephens, N. M., Fryberg, S. A., Markus, H. R., Johnson, C. S., & Covarrubias, R. (2012) · Journal of Personality and Social Psychology · doi:10.1037/a0027143 · Cited by 1,312 · see citing works
Mentoring College Students: A Critical Review of the Literature Between 1990 and 2007
Crisp, G., & Cruz, I. (2009) · Research in Higher Education · doi:10.1007/s11162-009-9130-2 · Cited by 1,087 · see citing works
Ecological models based on people’s knowledge: a multi-step fuzzy cognitive mapping approach
Özesmi, U., & Özesmi, S. L. (2004) · Ecological Modelling · doi:10.1016/j.ecolmodel.2003.10.027 · Cited by 977 · see citing works
Socioeconomic Status and College: How SES Affects College Experiences and Outcomes
Walpole, M. (2003) · The Review of Higher Education · doi:10.1353/rhe.2003.0044 · Cited by 751 · see citing works
Recent Developments in Structural Equation Modeling
Jöreskog, K. G., & Sörbom, D. (1982) · Journal of Marketing Research · doi:10.2307/3151714 · Cited by 732 · see citing works
Modeling Complex Systems Using Fuzzy Cognitive Maps
Stylios, C. D., & Groumpos, P. P. (2004) · IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans · doi:10.1109/tsmca.2003.818878 · Cited by 476 · see citing works
Trends in Racial/Ethnic Representation Among US Medical Students
Lett, E., Murdock, H. M., Orji, W. U., Aysola, J., & Sebro, R. (2019) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.10490 · Cited by 341 · see citing works
E-Learning perception and satisfaction among health sciences students amid the COVID-19 pandemic
Abbasi, M. S., Ahmed, N., Sajjad, B., Alshahrani, A., Saeed, S., Sarfaraz, S., Alhamdan, R. S., Vohra, F., & Abduljabbar, T. (2020) · Work · doi:10.3233/wor-203308 · Cited by 300 · see citing works
Kricorian, K., Seu, M., Lopez, D., Ureta, E., & Equils, O. (2020) · International Journal of STEM Education · doi:10.1186/s40594-020-00219-2 · Cited by 298 · see citing works
Applied Mixed Models in Medicine
Brown, H., & Prescott, R. (2014) · doi:10.1002/9781118778210 · Cited by 282 · see citing works
Analyzing the impact of social factors on homelessness: a Fuzzy Cognitive Map approach
Mago, V., Morden, H. K., Fritz, C., Wu, T., Namazi, S. A., Geranmayeh, P., Chattopadhyay, R., & Dabbaghian, V. (2013) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-13-94 · Cited by 130 · see citing works
Can fuzzy cognitive mapping help in agricultural policy design and communication?
Christen, B., Kjeldsen, C., Dalgaard, T., & Martín-Ortega, J. (2015) · Land Use Policy · doi:10.1016/j.landusepol.2015.01.001 · Cited by 79 · see citing works
Expert-Based and Computational Methods for Developing Fuzzy Cognitive Maps
Stach, W., Kurgan, L., & Pedrycz, W. (2010) · Studies in fuzziness and soft computing · doi:10.1007/978-3-642-03220-2_2 · Cited by 77 · see citing works
Dias, S. B., Hadjileontiadou, S. J., Hadjileontiadis, L. J., & Diniz, J. A. (2015) · Expert Systems with Applications · doi:10.1016/j.eswa.2015.05.048 · Cited by 69 · see citing works
Olazabal, M., Neumann, M. B., Foudi, S., & Chiabai, A. (2018) · Systems Research and Behavioral Science · doi:10.1002/sres.2519 · Cited by 56 · see citing works
Fuzzy cognitive mapping to support multi-agent decisions in development of urban policymaking
Pluchinotta, I., Esposito, D., & Camarda, D. (2018) · Sustainable Cities and Society · doi:10.1016/j.scs.2018.12.030 · Cited by 56 · see citing works
Fuzzy Cognitive Maps for Engineering and Technology Management: What Works in Practice?
Jetter, A. (2006) · 2006 Technology Management for the Global Future - PICMET 2006 Conference · doi:10.1109/picmet.2006.296648 · Cited by 56 · see citing works
Assessing impacts and community preparedness to cyclones: a fuzzy cognitive mapping approach
Singh, P. K., & Chudasama, H. (2017) · Climatic Change · doi:10.1007/s10584-017-2007-z · Cited by 51 · see citing works
Boyer, K. E., Thomas, E. N., Rorrer, A. S., Cooper, D., & Vouk, M. A. (2010) · Proceedings of the 41st ACM technical symposium on Computer science education · doi:10.1145/1734263.1734320 · Cited by 39 · see citing works
Analyzing Stakeholders Using Fuzzy Cognitive Mapping
Hester, P. T. (2015) · Procedia Computer Science · doi:10.1016/j.procs.2015.09.159 · Cited by 26 · see citing works
Mkhitaryan, S., Giabbanelli, P. J., de Vries, N. K., & Crutzen, R. (2020) · Intelligence-Based Medicine · doi:10.1016/j.ibmed.2020.100008 · Cited by 22 · see citing works
Allen, I. H., & Jr., S. M. L. (2012) · Journal of Career and Technical Education · doi:10.21061/jcte.v27i1.536 · Cited by 18 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Quaglia R, Fox K. A lesson in listening. RSA J. 2016;162(5565):46–8.
Cited by
Sorted by citations
Chiang, D. F., Guerrero, S. A., Sexton, E. C., & Gardner, S. S. (2024) · BMC Medical Education · doi:10.1186/s12909-024-05360-y
Self-citationInclusive urban transport in Ghana: Bridging informal transport systems and National Policy
Thompson, E. A., Motuba, D., Pan, L., Agyeman, S., & Akoto, E. T. (2026) · African Transport Studies · doi:10.1016/j.aftran.2026.100106
- Authors
- Chiang, D. F., Guerrero, S. A., Sexton, E. C., & Gardner, S. S.
- Affiliations
- University of Missouri–Kansas City (US)
- Children's Mercy Hospital (US)
- Corresponding author
- Chiang, Danielle F.
- ORCID
- Chiang, Danielle F.
- Venue
- BMC Medical Education
- Published
- 2024-03-20
- Volume
- 24
- Issue
- 1
- Pages
- 319-319
- ISSN
- 1472-6920 (ISSN-L)
- PMC
- PMC10956253
- OpenAlex
- W4392989675
- Semantic Scholar
- d2d7ac67a240f4af5ac31d891f40275b8cf52fb6
- Cited by
- 2
- References
- 30
- Citations by year
- 2026: 1 · 2024: 1
- FWCI
- 0.82
- Type
- journal article
- Language
- en
- Update notices
- correction (2024-04-02)
- Open access
- gold
- doi.org
- Locations
- BMC Medical Education (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Health Resources and Services Administration
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
- Social Sciences › Education › Higher Education Research Studies
- Social Sciences › Education › Higher Education Practises and Engagement
- Keywords
- underrepresented students, health sciences education, fuzzy cognitive mapping, program evaluation, student voice, mentoring, social support, low-income students, educational equity, COVID-19 pandemic, distance education, student stressors, University of Missouri-Kansas City
- MeSH terms
- Cognition, Humans, Mentors, Students, Program Evaluation, Pandemics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-11-03.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-11-03.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review