MétaCan
Menu
Back to cohort
Record W2899497753 · doi:10.5539/ijps.v10n4p34

Saying “I Do” in College: Examining Marital Status and Academic Performance

2018· book· en· W2899497753 on OpenAlexvenueno aff
Selena M. Beard, Michael R. Langlais

Bibliographic record

VenueInternational Journal of Psychological Studies · 2018
Typebook
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyMarital statusPerceptionNorm (philosophy)Quality (philosophy)Academic achievementMarital relationshipSocial psychologyAssociation (psychology)Clinical psychologyDevelopmental psychologyDemographySociologyPolitical science

Abstract

fetched live from OpenAlex

Marriage as an undergraduate student is not the norm, as only 7% of undergraduate students are married. Therefore, marital status may have negative consequences for college students’ academic performance, as they navigate marital roles simultaneously with other roles, such as that of student. However, relationship quality may predict how well undergraduates perform academically, with individuals in higher quality marriages performing better than those in lower quality marriages. Thus, the goal of this study is to examine how marital status predicts academic performance and whether or not relationship quality moderates this association. Data for this study comes from an online survey of undergraduate students from a university in the Midwestern United States (N = 111, 81.1% female, 87.4% White/Caucasian, 21.2% married). Results revealed that marital status is negatively associated with cumulative grade point average (GPA) and perception of GPA. There were no significant effects of relationship satisfaction, relationship communication, or the interaction of relationship quality and marital status for academic performance. Implications for academic performance and young adult development will be discussed.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.221
Threshold uncertainty score0.856

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.141
GPT teacher head0.495
Teacher spread0.353 · 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 teacher head, 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".

Quick stats

Citations4
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Psychological StudiesSame topicAttachment and Relationship DynamicsFrench-language works237,207