Predictive Utility of Certain Criteria for Advanced Freshman Mathematics Courses

1967 ◽  
Vol 60 (6) ◽  
pp. 619-620
Author(s):  
James Anderson ◽  
Robert G. Whittemore
Keyword(s):  
Predictive Utility ◽  
Mathematics Courses ◽  
Freshman Mathematics

A Report on a Diagnostic Testing Program at Purdue University: The Number Technique Ability of Students in Beginning Courses in Mathematics

1940 ◽  
Vol 33 (7) ◽  
pp. 321-324
Author(s):  
M. W. Keller ◽  
D. R. Shreve ◽  
H. H. Remmers
Keyword(s):  
High School ◽  
Diagnostic Testing ◽  
Mathematics Courses ◽  
Testing Program ◽  
College Teacher ◽  
Course Work ◽  
Purdue University ◽  
Freshman Mathematics

It is desirable that the college teacher know what numerical manipulations his students can do when they enter freshman mathematics courses so that he will be able to remedy the more glaring deficiencies as the course work proceeds, in order that the students may not be handicapped throughout the course, or even sometimes fail as a consequence of their disabilities. The high school and grade teachers are also interested in knowing what manipulative ability the students have retained so that they may increase the emphasis on those topics which students in general seem to forget, or have not mastered sufficiently well.

scholarly journals Numeric And Symbolic Reasoning Assessment In Freshman Mathematics Courses

2020 ◽  
Author(s):  
Rodolfo Yzasmendi Arellano ◽  
Enrique Palou ◽  
Lourdes Gazca ◽  
Aurelio López-Malo
Keyword(s):  
Mathematics Courses ◽  
Symbolic Reasoning ◽  
Freshman Mathematics

Toward a stepped care approach to treating problem drinkers: the predictive utility of within-treatment variables and therapist prognostic ratings

Addiction ◽  
1997 ◽  
Vol 92 (11) ◽  
pp. 1479-1490 ◽  
Author(s):  
F. Curtis Breslin ◽  
Mark B. Sobell ◽  
Linda C. Sobell ◽  
Giao Buchan ◽  
John A. Cunningham
Keyword(s):  
Stepped Care ◽  
Problem Drinkers ◽  
Predictive Utility ◽  
Care Approach

Predictive utility of peer- versus direct report-ratings of derailment tendencies

2008 ◽  
Author(s):  
William Gentry ◽  
Phillip Braddy ◽  
Todd Weber ◽  
Lori Foster Thompson
Keyword(s):  
Predictive Utility

Polygenic Scores Predict the Development of Alcohol and Nicotine Use Problems from Adolescence through Young Adulthood

2020 ◽  
Author(s):  
Joseph D. Deak ◽  
D. Angus Clark ◽  
Mengzhen Liu ◽  
C. Emily Durbin ◽  
William G. Iacono ◽  
...  
Keyword(s):  
Substance Use ◽  
Alcohol Use ◽  
Young Adulthood ◽  
Externalizing Behavior ◽  
Molecular Genetic ◽  
Early Adulthood ◽  
Predictive Utility ◽  
Problematic Use ◽  
Discovery Sample ◽  
Polygenic Scores

Objective: Molecular genetic studies of alcohol and nicotine have identified many genome-wide loci. We examined the predictive utility of drinking and smoking polygenic scores (PGS) for alcohol and nicotine use from late childhood to early adulthood, substance-specific versus broader-liability PGS effects, and if PGS performance varied between consumption versus pathological use. Methods: Latent growth curve models with structured residuals were used to assess the predictive utility of drinks per week and regular smoking PGS for measures of alcohol and nicotine consumption and problematic use from age 14 to 34. PGSs were generated from the largest discovery sample for alcohol and nicotine use to date (i.e., GSCAN), and examined for associations with alcohol and nicotine use in the Minnesota Twin Family Study (N=3225).Results: The drinking PGS was a significant predictor of age 14 problematic alcohol use and increases in problematic use during young adulthood. The smoking PGS was a significant predictor for all nicotine use outcomes. After adjusting for the effects of both PGSs, the smoking PGS demonstrated incremental predictive utility for most alcohol use outcomes and remained a significant predictor of nicotine use trajectories. Conclusions: Higher PGS for drinking and smoking were associated with more problematic levels of substance use longitudinally. The smoking PGS seems to capture both nicotine-specific and non-specific genetic liability for substance use, and may index genetic risk for broader externalizing behavior. Validation of PGS within longitudinal designs may have important clinical implications should future studies support the clinical utility of PGS for substance use disorders.

Profiles of Psychosocial and Clinical Functioning in Adolescence and Risk for Later Depression

2019 ◽  
Author(s):  
Thomas M Olino ◽  
Daniel Klein ◽  
John Seeley
Keyword(s):  
Psychosocial Functioning ◽  
Adolescent Depression ◽  
Depressive Disorders ◽  
Self Report ◽  
Initial Assessment ◽  
Predictive Utility ◽  
Regression Methods ◽  
History Of ◽  
History Of Depression

Background: Most studies examining predictors of onset of depression focus on variable centered regression methods that focus on effects of multiple predictors. In contrast, person-centered approaches develop profiles of factors and these profiles can be examined as predictors of onset. Here, we developed profiles of adolescent psychosocial and clinical functioning among adolescents without a history of major depression. Methods: Data come from a subsample of participants from the Oregon Adolescent Depression Project who completed self-report measures of functioning in adolescence and completed diagnostic and self-report measures at follow-up assessments up to approximately 15 years after baseline. Results: We identified four profiles of psychosocial and clinical functioning: Thriving; Average Functioning; Externalizing Vulnerability and Family Stress; and Internalizing Vulnerability at the baseline assessment of participants without a history of depression at the initial assessment in mid- adolescence. Classes differed in the likelihood of onset and course of depressive disorders, experience of later anxiety and substance use disorders, and psychosocial functioning in adulthood. Moreover, the predictive utility of these classes was maintained when controlling for multiple other established risk factors for depressive disorders. Conclusions: This work highlights the utility of examining multiple factors simultaneously to understand risk for depression.

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