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Record W3110112830 · doi:10.31274/rtd-20201118-237

College satisfaction of Iowa State University national merit scholars

2000· dissertation· en· W3110112830 on OpenAlexfundno aff
Deborah Holmes

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicHigher Education Research Studies
Canadian institutionsnot available
FundersUniversity at BuffaloUniversity of Illinois at Urbana-ChampaignUniversidad de MonterreyNorth Carolina Central UniversitySaginaw Valley State UniversityNorth Dakota State UniversityUniversity of South DakotaKent State UniversityOld Dominion UniversityState University of New YorkUtah State UniversityIdaho State UniversityMontana TechLamar UniversityNorthern Kentucky UniversityUniversity of Missouri-Kansas CityMontana State UniversityTowson UniversityWinona State UniversityPurchase College, State University of New YorkVirginia Commonwealth UniversityRhode Island CollegeIowa State UniversityUniversity of MissouriWeber State UniversityUniversity of WindsorLewis-Clark State CollegeUniversity of Central FloridaNorthern Arizona UniversityRadford UniversityNorthern Michigan UniversityUniversity of PennsylvaniaFayetteville State UniversityMorgan State UniversityUniversity of Texas at San AntonioUniversity of LouisvilleUniversity of MemphisUniversity of Central ArkansasFlorida State UniversityUniversity of MontanaUniversity of Northern ColoradoUniversity of ConnecticutUniversity of WyomingWashington State UniversitySouthern Arkansas UniversityOhio State UniversityOklahoma State UniversityUniversity of South FloridaEdinboro UniversityPennsylvania State UniversityMidwestern State UniversitySouth Dakota School of Mines and TechnologyYoungstown State UniversityMoorhead State UniversityRowan UniversityPurdue University
KeywordsExcellenceMedical educationPsychologyScale (ratio)State (computer science)Life satisfactionRating scaleMerit payPolitical scienceMedicineSocial psychologyGeographyComputer scienceEconomics

Abstract

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This study compared the college satisfaction levels oflowa State University national merit scholars with students in a national 4-year public institution comparison group.This same comparison was made between Iowa State national merit engineering students and Iowa State non-national merit engineering students.Satisfaction levels were obtained through the Student Satisfaction Inventory (SSI), which addressed twelve scales or aspects of campus life.This study examined nine of the twelve scales, which included: academic advising effectiveness, campus climate, concern for the individual, instructional effectiveness, recruitment and financial aid effectiveness, service excellence, student centeredness, campus support services, and campus life.The SSI allowed students to score all items based on satisfaction level and importance level.Resulting data concerning satisfaction and importance scores are examined as well as data provided on the disparity level (importance rating minus satisfaction rating) for each scale.The disparity level gave insight as to whether students' expectations at Iowa State University had been met.Iowa State national merit scholars were found to be significantly more satisfied than the students in the national comparison group in eight areas with the highest level of significant difference occurring in academic advising effectiveness, campus life, and recruitment and financial aid.National merit engineering students were significantly more satisfied than the Iowa State non-national merit engineering students in six areas with the highest level of significant difference occurring in academic advising effectiveness, instructional effectiveness, and recruitment and financial aid.To conclude, national merit students at Iowa State University were satisfied with college life but their expectations had not been exceeded in any of the nine areas examined, vu leaving room for improvement.Iowa State national merit scholars found different aspects of campus to be important when compared with students included in the national comparison group.National merit engineering students and non-national merit engineering students at Iowa State were much more similar in what they determined to be important.The disparity level of each scale and the questions in that scale led to a discussion of implications.The implications for this study can be applied to all students at Iowa State University.CHAPTER I. INTRODUCTION General Introduction Each year, Iowa State University attempts to recruit individuals from three designated categories of high ability students: National Merit Scholars, National Achievement Scholars and National Hispanic Scholars.In the competitive educational marketplace of today, Iowa State University, through the Office of Special Recruitment, must constantly search for new recruitment strategies in order to attract such highly sought after students.Currently, Iowa State University ranks 18 th in the nation for recruiting national merit scholars and enrolled more national merit scholars than all other Iowa schools combined in 1999 (Annual Statistical Report, Iowa State University, 1999) (please see Appendix A for additional rankings and demographic data).During the fall and spring semesters of 1998-99, the Office of Special Recruitment enrolled and awarded scholarships to 116 national merit scholars, 9 national achievement scholars, and 10 national Hispanic scholars.This was the highest number of entering freshman who were national achievement or national Hispanic scholars in the university's history.Iowa State University continually strives to be a leader in the recruitment of high ability students.One possible strategy to help ensure this status might include assessing the satisfaction rates of current national merit scholars on campus.The process for improvement can itself have a positive impact on a campus when students, faculty, administration, and staff are involved in creating and implementing solutions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.372
Teacher spread0.351 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Published2000
Admission routes1
Has abstractyes

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