Prediction of Kindergarteners' Behavior on Metropolitan Readiness Tests from Preschool Perceptual and Perceptual-Motor Performances: A Validation Study

1981 ◽  
Vol 52 (3) ◽  
pp. 899-902 ◽  
Author(s):  
David E. Belka
Keyword(s):  
Multiple Regression ◽  
Cognitive Performance ◽  
Validation Study ◽  
Auditory Perception ◽  
Predictive Power ◽  
Cognitive Achievement ◽  
Regression Equations ◽  
Motor Tasks ◽  
High Predictive Power ◽  
Motor Tests

Multiple regression equations were generated to predict cognitive achievement for 40 children (ages 57 to 68 mo.) 1 yr. after administration of a battery of 6 perceptual and perceptual-motor tests to determine if previous results from Toledo could be replicated. Regression equations generated from maximum R2 improvement techniques indicated that performance at prekindergarten is useful for prediction of cognitive performance (total score and total score without the copying subtest on the Metropolitan Readiness Tests) 1 yr. later at the end of kindergarten. The optimal battery included scores on auditory perception, fine perceptual-motor, and gross perceptual-motor tasks. The moderate predictive power of the equations obtained was compared with high predictive power generated in the Toledo study.

Prediction of Later Cognitive Behavior from Early School Perceptual-Motor, Perceptual, and Cognitive Performances

1979 ◽  
Vol 49 (1) ◽  
pp. 131-141 ◽  
Author(s):  
David E. Belka ◽  
Harriet G. Williams
Keyword(s):  
First Grade ◽  
Prediction Equation ◽  
Cognitive Achievement ◽  
Second Grade ◽  
Cognitive Tests ◽  
Regression Equations ◽  
Optimal Prediction ◽  
Motor Tasks ◽  
Grade Levels ◽  
Early School

Multiple regression equations were generated to predict cognitive achievement for 189 young children (ages 57 to 92 mo.) 1 yr. after original administration of a battery of perceptual-motor, perceptual, and cognitive tests. Regression equations generated from maximum R2 improvement techniques indicated that a battery of perceptual and perceptual-motor performances at pre-kindergarten is useful for prediction of cognitive performance 1 yr. later at kindergarten level. This battery included one fine and two gross perceptual-motor tasks, and one visual and two auditory perceptual tasks. Inclusion of original cognitive performances did not improve the optimal prediction equation for this age group. In contrast, cognitive achievement at first grade and, particularly, at second grade levels was best predicted from knowledge of earlier cognitive performances.

scholarly journals The Application of the SKT Short Cognitive Performance Test to English-Speaking Populations

Psych ◽  
2021 ◽  
Vol 3 (4) ◽  
pp. 717-727
Author(s):  
Mark Stemmler ◽  
Sophia M. V. Schneider ◽  
Leonard W. Poon
Keyword(s):  
Multiple Regression ◽  
Cognitive Performance ◽  
Performance Test ◽  
Standardized Test ◽  
Community Dwelling ◽  
Attention And Memory ◽  
Regression Equations ◽  
Regression Residuals ◽  
German Speaking ◽  
English Speaking

The SKT (Syndrom-Kurz-Test) is a well-established short cognitive performance test for the detection of attention and memory deficits in Germany. The goal of this paper is to test whether the SKT could be applied to English-speaking populations to screen cognitive impairments in the US, Australia, and Ireland. A regression-based continuous norming technique was applied. Standardized test results obtained from German-speaking (n = 1056) and English-speaking (n = 285) samples were compared. Both samples consisted of cognitively unimpaired, community-dwelling, and independently living volunteers (non-patients) over 60 years of age. Means, medians, and standard deviations of raw scores were calculated. A high similarity in the raw value distributions of the criterion variables and a comparison of German and English multiple regression residuals indicated the equivalence among the samples. In addition, the obtained multiple regression equations for predicting the subtest scores including the explained variances (R2) were highly comparable. Age and intelligence turned out to be the most important and necessary predictors for each subtest performance. The results suggest that the new regression-based norming of the SKT can be validly used in the three English-speaking countries.

Estimation de la production de jeunes plantations de pin rouge et de pin gris du sud du Québec

1976 ◽  
Vol 6 (4) ◽  
pp. 478-486 ◽  
Author(s):  
H. A. Bolghari
Keyword(s):  
Multiple Regression ◽  
Jack Pine ◽  
Red Pine ◽  
Pine Plantations ◽  
Regression Equations ◽  
Pine Plantation ◽  
South Shore ◽  
Pine Stands ◽  
Natural Stands ◽  
St Lawrence River

Multiple regression equations have been developed to predict yield from young red pine and jack pine plantations. Data from 446 sample plots representing young red pine and jack pine stands located on the south shore of the St. Lawrence River between Quebec and Montreal were analysed. The red pine plantation yielded more than the jack pine. However, in plantation both species yield more than in natural stands. Taking into account the age and spacing of the sampled plantations, the equation obtained can provide information on yield of red pine and jack pine stands the maximum spacing of which is 3 × 3 m, up to the age of 45 and 35 years respectively. The equations will allow the construction of preliminary yield tables for both species.

FAT THICKNESS MEASURED WITH THREE ULTRASONIC INSTRUMENTS ON LIVE RAM LAMBS AS PREDICTORS OF CUTABILITY

1980 ◽  
Vol 60 (4) ◽  
pp. 857-867 ◽  
Author(s):  
ANDRÉ FORTIN
Keyword(s):  
Multiple Regression ◽  
Live Weight ◽  
Optimal Location ◽  
Regression Equations ◽  
Longissimus Muscle ◽  
Fat Thickness ◽  
Ram Lambs

Fat thickness at four locations over the longissimus muscle was measured ultrasonically on 33 live ram lambs ranging in live weight from 16.0 to 37.0 kg. Simple and multiple regression equations were developed to assess the effectiveness of fat thickness as measured by three different ultrasonic instruments (Krautkrämer USM #2, Scanoprobe Model 731A and Scanogram Model 722) to predict cutability. Weight of trimmed or boneless cuts (shoulder + loin + rack + leg) was predicted with more precision than percentage of cuts. Fat thickness alone or combined with weight at scanning was of no significant value (P > 0.05) in the prediction of percentage of trimmed cuts. Percentage of boneless cuts was predicted more efficiently from weight at scanning alone than from fat thickness alone or combined with weight at scanning. Weight of cuts (trimmed or boneless) was also estimated from the fat measurement (P < 0.01), the weight at scanning (P < 0.01) or a combination of both variables. For the latter, fat thickness did not contribute significantly (P > 0.05). The optimal location of the fat measurement depended on the ultrasonic instrument used. Fat thickness measured with the Krautkrämer was more efficient in its prediction of cutability than fat thickness measured with the Scanoprobe or Scanogram. However, over the range of liveweights studied, the usefulness of fat thickness measured on live ram lambs to predict cutability is questionable.

scholarly journals Re(Examining) Relations between CHC Broad and Narrow Cognitive Abilities and Reading Achievement

2017 ◽  
Vol 7 (1) ◽  
pp. 265 ◽  
Author(s):  
Ryan J. McGill
Keyword(s):  
Reading Achievement ◽  
Multiple Regression ◽  
Cognitive Abilities ◽  
Reading Scores ◽  
Cognitive Achievement ◽  
General Factor ◽  
School Age ◽  
Chc Theory ◽  
Moderating Effects ◽  
Clinically Significant

Previously, Evans and colleagues (2001) utilized simultaneous multiple regression to examine relations between Cattell-Horn-Carroll (CHC; Schneider & McGrew, 2012) broad and narrow cognitive abilities and reading achievement across the school age span. Although their findings suggest that many broad/narrow abilities had clinically significant effects on reading achievement they failed to account for the potential moderating effects of the general factor. To account for these effects, the current study employed hierarchical multiple regression analysis to reexamine the relationships between CHC dimensions and reading achievement after controlling for the effects of the general factor with 4,722 participants ages 6-18 from the Woodcock Johnson III Psychoeducational Battery (WJ III; Woodcock, McGrew, & Mather, 2001a). Results from the present study indicate that the full scale GIA composite (as a proxy for g) consistently accounted for large effects across the school age span for all of the reading achievement variables that were assessed. Among the broad and narrow abilities, only Gc consistently accounted for meaningful proportions of reading scores beyond g. As a consequence, researchers are encouraged to give greater consideration to the dimensionality of broad and narrow CHC measures when examining cognitive-achievement relationships or they may risk over-interpreting the predictive effects associated with these indices. Potential implications for clinical application of CHC theory are also discussed.

EQUATIONS FOR RECIPROCAL CONVERSIONS OF STARCH EQUIVALENT AND TOTAL DIGESTIBLE NUTRIENT VALUES

1962 ◽  
Vol 42 (2) ◽  
pp. 211-214
Author(s):  
J. Kielanowski ◽  
Aleksandra Ziolecka ◽  
Zofia Osińska
Keyword(s):  
Multiple Regression ◽  
Fiber Content ◽  
Crude Fiber ◽  
Regression Equations ◽  
Crude Fiber Content ◽  
Independent Variable ◽  
Total Digestible Nutrient

In order to facilitate reciprocal conversions of Starch Equivalents (SE) and Total Digestible Nutrients (TDN) values of feeds, multiple regression equations were computed for three different groups of feeds (concentrates, green roughages and silages, and dry roughages. These equations are: for concentrates, green roughages and silages, and dry roughages, respectively.[Formula: see text]Where Y = percentage TDN, X1 = percentage SE, and X2 = percentage crude fiber and[Formula: see text]Where Y = percentage SE; X1 = percentage TDN, and X2 = percentage crude fiber.The addition of the crude fiber content as the second independent variable in each equation resulted in a slight but marked gain in accuracy, especially for green and dry roughages, when compared with simple regressions of TDN on SE or vice versa.

scholarly journals A-12 Differential Effects of Symptom Clusters at Baseline on Cognitive Performance

2020 ◽  
Vol 35 (5) ◽  
pp. 608-608
Author(s):  
A Datoc ◽  
L Issac ◽  
R Bennett ◽  
L Lashley
Keyword(s):  
Cognitive Performance ◽  
Significant Relationship ◽  
Symptom Clusters ◽  
Return To Play ◽  
High School Athletes ◽  
Motor Tasks ◽  
Individualized Approach ◽  
Visual Motor ◽  
Archival Database ◽  
Composite Scores

Abstract Objective The purpose of this study was to observe the effects of self-reported affective, sleep, and vestibular-somatic symptomatology on cognitive performance at baseline as measured by ImPACT. Method Participants were selected from a de-identified archival database of high school athletes aged 13–18. Symptom clusters included affective (N = 435, 61.7% female, Mage = 15.46), sleep (N = 435, 53.8% female, Mage = 15.49), and vestibular-somatic (N = 435, 52.2% male, Mage = 15.31). Three One-Way ANOVAs compared baseline composite scores between athletes who reported varying levels of symptomatology within each symptom cluster. Athletes were divided into groups based on their reported symptoms: None (n = 145), Mild (n = 145), and Moderate/Severe (n = 145). Significance was found at p = 0.01. Results No significant relationship between self-reported affective or sleep symptomatology and cognitive performance was observed. A significant relationship was shown between self-reported vestibular-somatic symptomatology regarding the Visual-Motor composite [F (2,432) = 5.925, p = .003]. Bonferroni pairwise comparisons revealed athletes with no reported vestibular-somatic symptoms performed significantly better on Visual-Motor tasks than those with Mild and Moderate/Severe symptoms. Conclusions These results may assist in the understanding of the influence of symptoms reported by athletes’ post-concussion. While those with varying levels of vestibular-somatic symptomatology were found to have significantly different performance on Visual-Motor tasks, this cluster of symptoms was not found to impact other domains of cognitive functioning. The influence of symptoms on cognitive performance likely varies between individual athletes, which can have implications on return-to-play decisions. This highlights the critical need for an individualized approach to be utilized when evaluating athletes post-concussion considering the current literature to date.

scholarly journals Generalized equations for predicting body density of men

1978 ◽  
Vol 40 (3) ◽  
pp. 497-504 ◽  
Author(s):  
A. S. Jackson ◽  
M. L. Pollock
Keyword(s):  
Multiple Regression ◽  
Skinfold Thickness ◽  
Standard Errors ◽  
Regression Equations ◽  
Generalized Equations ◽  
Body Density ◽  
Adult Men ◽  
Body Circumferences

1. Skinfold thickness, body circumferences and body density were measured in samples of 308 and ninety-five adult men ranging in age from 18 to 61 years.2. Using the sample of 308 men, multiple regression equations were calculated to estimate body density using either the quadratic or log form of the sum of skinfolds, in combination with age, waist and forearm circumference.3. The multiple correlations for the equations exceeded 0.90 with standard errors of approximately ±0.0073 g/ml.4. The regression equations were cross validated on the second sample of ninety-five men. The correlations between predicted and laboratory-determined body density exceeded 0.90 with standard errors of approximately 0.0077 g/ml.5. The regression equations were shown to be valid for adult men varying in age and fatness.

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