The Differential Predictive Validity of Two Measurements of Cognitive Ability

1996 ◽  
Vol 82 (3) ◽  
pp. 817-818 ◽  
Author(s):  
Paul Oosterveld ◽  
Johan Hoogstraten
Keyword(s):  
Secondary Education ◽  
Cognitive Ability ◽  
Predictive Validity ◽  
Cognitive Abilities ◽  
Predictive Power ◽  
Educational Achievement ◽  
Achievement Test ◽  
Self Report ◽  
Multiple Correlation

In this study was compared the relative predictive power of an achievement test and a self-report questionnaire for cognitive abilities in the context of prediction of educational achievement. With average grades, the multiple correlation of scores on both tests administered to a sample of 232 pupils in secondary education showed only marginal differences.

Promoting Student Success in Statistics Courses by Tapping Diverse Cognitive Abilities

2019 ◽  
Vol 46 (2) ◽  
pp. 140-145
Author(s):  
Erin Morris Miller
Keyword(s):  
Statistical Analysis ◽  
Student Success ◽  
Student Learning ◽  
Cognitive Ability ◽  
Graduate School ◽  
Cognitive Abilities ◽  
Achievement Test ◽  
Statistics Course ◽  
Psychology Majors ◽  
Statistics Courses

Skill in statistical analysis and interpretation are key areas of expertise for psychology majors seeking graduate school admittance and future employment. However, students can be reluctant to engage in their statistics course and may struggle to find success. One possible way to increase engagement and student learning is to teach in a way that taps multiple areas of cognitive ability through organizing instruction according to Robert Sternberg’s theory of triarchic intelligence. This approach to instruction has been shown to be successful in the author’s courses and resulted in a pattern of achievement on the psychology subtest of the Area Concentration Achievement Test (ACAT) that is above what would be predicted by the students’ general aptitude scores.

A Comparison of the Predictive Validity of the Revised Stanford-Binet Intelligence Scale and the Illinois Test of Psycholinguistic Abilities

1969 ◽  
Vol 35 (7) ◽  
pp. 517-521 ◽  
Author(s):  
Alfred Hirshoren ◽  
Herman M. Adler
Keyword(s):  
Predictive Validity ◽  
School Achievement ◽  
Achievement Test ◽  
Kindergarten Children ◽  
Multiple Correlation ◽  
Intelligence Scale ◽  
Language Deficit ◽  
Remedial Programs ◽  
Primary Form

The Illinois Test of Psycholinguistic Abilities and the 1960 revision of the Stanford-Binet Intelligence Scale were administered to 40 Caucasian kindergarten children. Two years later the children were tested with the California Achievement Test, Lower Primary Form. The results indicate that the Total Language Score of the ITPA is at least as valid a predictor of school achievement as is the Stanford-Binet IQ. Using stepwise multiple correlation with the ITPA subtests increases the predictive validity of the ITPA. The ITPA has the added advantage of noting specific areas of language deficit so that remedial programs for individual children may be developed.

scholarly journals Integrating across neuroimaging modalities boosts prediction accuracy of cognitive ability

2021 ◽  
Vol 17 (3) ◽  
pp. e1008347 ◽  
Author(s):  
Javier Rasero ◽  
Amy Isabella Sentis ◽  
Fang-Cheng Yeh ◽  
Timothy Verstynen
Keyword(s):  
Individual Differences ◽  
Cognitive Function ◽  
Cognitive Ability ◽  
Cognitive Abilities ◽  
Predictive Power ◽  
Fluid Intelligence ◽  
Prediction Models ◽  
Principal Component ◽  
Individual Variability ◽  
Human Connectome Project

Variation in cognitive ability arises from subtle differences in underlying neural architecture. Understanding and predicting individual variability in cognition from the differences in brain networks requires harnessing the unique variance captured by different neuroimaging modalities. Here we adopted a multi-level machine learning approach that combines diffusion, functional, and structural MRI data from the Human Connectome Project (N = 1050) to provide unitary prediction models of various cognitive abilities: global cognitive function, fluid intelligence, crystallized intelligence, impulsivity, spatial orientation, verbal episodic memory and sustained attention. Out-of-sample predictions of each cognitive score were first generated using a sparsity-constrained principal component regression on individual neuroimaging modalities. These individual predictions were then aggregated and submitted to a LASSO estimator that removed redundant variability across channels. This stacked prediction led to a significant improvement in accuracy, relative to the best single modality predictions (approximately 1% to more than 3% boost in variance explained), across a majority of the cognitive abilities tested. Further analysis found that diffusion and brain surface properties contribute the most to the predictive power. Our findings establish a lower bound to predict individual differences in cognition using multiple neuroimaging measures of brain architecture, both structural and functional, quantify the relative predictive power of the different imaging modalities, and reveal how each modality provides unique and complementary information about individual differences in cognitive function.

scholarly journals Individual Cortical Entropy Profile: Test–Retest Reliability, Predictive Power for Cognitive Ability, and Neuroanatomical Foundation

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Mianxin Liu ◽  
Xinyang Liu ◽  
Andrea Hildebrandt ◽  
Changsong Zhou
Keyword(s):  
Individual Differences ◽  
Cognitive Ability ◽  
Cognitive Abilities ◽  
Predictive Power ◽  
Structural Connectivity ◽  
Cortical Folding ◽  
Retest Reliability ◽  
Human Connectome Project ◽  
Out Of Sample ◽  
Test Retest Reliability

Abstract The entropy profiles of cortical activity have become novel perspectives to investigate individual differences in behavior. However, previous studies have neglected foundational aspects of individual entropy profiles, that is, the test–retest reliability, the predictive power for cognitive ability in out-of-sample data, and the underlying neuroanatomical basis. We explored these issues in a large young healthy adult dataset (Human Connectome Project, N = 998). We showed the whole cortical entropy profile from resting-state functional magnetic resonance imaging is a robust personalized measure, while subsystem profiles exhibited heterogeneous reliabilities. The limbic network exhibited lowest reliability. We tested the out-of-sample predictive power for general and specific cognitive abilities based on reliable cortical entropy profiles. The default mode and visual networks are most crucial when predicting general cognitive ability. We investigated the anatomical features underlying cross-region and cross-individual variations in cortical entropy profiles. Cortical thickness and structural connectivity explained spatial variations in the group-averaged entropy profile. Cortical folding and myelination in the attention and frontoparietal networks determined predominantly individual cortical entropy profile. This study lays foundations for brain-entropy-based studies on individual differences to understand cognitive ability and related pathologies. These findings broaden our understanding of the associations between neural structures, functional dynamics, and cognitive ability.

scholarly journals The Prediction of Professional Success in Apprenticeship: The Role of Cognitive and Non-Cognitive Abilities, of Interests and Personality

2018 ◽  
Vol 5 (2) ◽  
pp. 82-110 ◽  
Author(s):  
Jennifer Diedrich ◽  
Aljoscha C. Neubauer ◽  
Anna Ortner
Keyword(s):  
Cognitive Ability ◽  
Predictive Validity ◽  
Cognitive Abilities ◽  
Practical Implication ◽  
Work Satisfaction ◽  
Good Prediction ◽  
Job Fit ◽  
Social Emotional ◽  
Personality Dimension ◽  
Professional Success

Context: We addressed the issue of person-job-fit by focussing on both professional success and work satisfaction. Publications studying the predictive validity of (cognitive) ability, personality, or vocational interest alone have shown relationships with professional success or work satisfaction for each predictor separately. Nevertheless, these predictors have rarely been studied simultaneously. Methods: To this end we tested the incremental validity of abilities, traits, and interests in a sample from diverse occupations: In 648 apprentices and students from five different branches (Food, Tech, People, Office, Craft) the (incremental) contributions of 3 intelligence factors (verbal, numerical, spatial), 3 alternative abilities (social-emotional, creative, practical), 4 conscientiousness facets, other big five factors (O, E, A, N), and of 14 professional interests were analysed regarding prediction of GPA in professional schools and school/job satisfaction. Results: Intelligence and conscientiousness were best predictors, followed by social-emotional competence and interests, whereas other traits provided marginal contributions. Predictors varied between branches, mostly following expectations. The test battery allowed a very good prediction of apprenticeship success (max. 37%), but for some branches prediction was considerably lower.Conclusion: Criteria for person-job-fit are not swappable, neither are the predictors. Professional success was mostly predicted by a different predictor set -namely ability and the personality dimension of conscientiousness- then satisfaction, which was mostly predicted by non-interest in a certain occupation. As a practical implication, we conclude that choosing the right candidate for a certain branch one needs to use a broad set of predictor variables. Besides cognitive ability also personality and vocational interests had predictive validity for an individuals person-job-fit.

MENINGKATKAN KEMAMPUAN KOGNITIF MELALUI AKTIVITAS SENI MUSIK TERHADAP ANAK KELOMPOK B DI TK. ADINDA CAHAYA CIMAHI

2018 ◽  
Vol 1 (3) ◽  
pp. 14
Author(s):  
Nurpuri Waraswati ◽  
Rini Andriani
Keyword(s):  
Cognitive Ability ◽  
Cognitive Abilities ◽  
Present Method ◽  
Evaluation Research ◽  
Music Learning ◽  
Learning Time ◽  
Childhood Education ◽  
Research Questions ◽  
Art Activities ◽  
Basic Ability

Early Childhood Education (PAUD) implements education that refers to all the basic aspects or abilities that are developing in the child. The basic ability of children is very interesting to be studied, one of them cognitive abilities of children. It is raised in connection with the lack of cognitive abilities in Adinda Cahaya kindergarten with the present method mainly through the activity of the art of music. The existing formulation in this study is "The activity of music art that can improve the cognitive abilities of children". The purpose of this study is to describe the cognitive abilities of children in music art activities.. There are six levels of cognitive ability: knowledge, understanding, application of analysis, synthesis and evaluation. Research questions are 1). How does music activity and music learning time to support the development of children's cognitive abilities? 2. How does the child's memory of what the teacher has taught in music art activities? 3) How are children's development related to cognitive ability? The conclusion is that the study of music art gives a positive and influential effect on the child's cognitive development that will stimulate brain development and emotional intelligence.

scholarly journals NCOG-70. RELIABILITY AND VALIDITY OF A NEW SELF-REPORT INDEX OF COGNITIVE CONCERNS IN BRAIN TUMOR PATIENTS

2020 ◽  
Vol 22 (Supplement_2) ◽  
pp. ii145-ii145
Author(s):  
Giuliana Zarrella ◽  
Alice Perez ◽  
Jorg Dietrich ◽  
Michael Parsons
Keyword(s):  
Brain Tumor ◽  
Verbal Memory ◽  
Cognitive Abilities ◽  
Convergent Validity ◽  
Discriminant Validity ◽  
Reliability And Validity ◽  
Cognitive Testing ◽  
Self Report ◽  
Measurement Information ◽  
Patient Reported

Abstract INTRODUCTION Subjective cognitive dysfunction is an important outcome measure in neuro-oncology and may provide additional information beyond performance-based neuropsychological testing. The Functional Assessment of Cancer Therapy-Brain (FACT-Br) is a frequently used quality of life (QoL) measure that includes indices of physical, emotional, social, and neurologic aspects of disease, but does not measure cognitive concerns. This study seeks to develop and validate an index of self-reported cognition derived from existing items on the FACT-Br. METHODS 145 patients (Mage=51.08, Medu=15.63) with heterogeneous brain tumor diagnoses completed neuropsychological evaluation including cognitive testing and self-report measures. Nine FACT-Br items regarding cognition were combined to form the Cognitive Index (CI). Reliability of the CI was measured with Cronbach’s alpha. Concurrent validity was assessed by correlating the CI with the Patient-Reported Outcomes Measurement Information System (PROMIS) Cognitive Abilities-8 or PROMIS Cognitive Concerns-8. Discriminant validity was assessed by correlation of the CI with other FACT-Br indices and the Beck Depression and Anxiety Inventories (BDI, BAI). RESULTS Internal consistency within the CI was high (Cronbach’s a 0.864). The CI correlated strongly with the PROMIS-Abilities (r =.680; p< 0.001) and PROMIS-Concerns (r=.780; p< 0.001) indicating high convergent validity. Moderate correlations were observed between the CI and the physical and functional subscales of the FACT (r=.453 and .555), whereas correlations with the social and emotional functioning subscales were weaker (r=.381 and .325). The FACT-Br-CI correlated strongly with BDI (r=-.622) and more weakly with the BAI (r=-.344). Consistent with prior literature, the CI showed modest correlations with neuropsychological measures, including verbal memory encoding (r=.300), verbal fluency (r=.252) and a composite measure of cognition (r=.249; all p’s< .01). CONCLUSIONS The FACT-Br-CI is a reliable and valid measure of self-reported cognition. Studies that include the FACT-Br could be retrospectively analyzed to assess self-reported cognitive outcomes, enriching the information gained from prior research.

Long-Term Predictive Validity of the Cognitive Ability Scales

1992 ◽  
Vol 10 (3) ◽  
pp. 265-275 ◽  
Author(s):  
Susan Chown Clemmer ◽  
Timothy J. Klifman ◽  
Sharon Bradley-Johnson
Keyword(s):  
Cognitive Ability ◽  
Predictive Validity

scholarly journals How Well Does Subjective Cognitive Decline Correspond to Objectively Measured Cognitive Decline? Assessment of 10–12 Year Change

2021 ◽  
pp. 1-14
Author(s):  
Daniel E. Gustavson ◽  
Amy J. Jak ◽  
Jeremy A. Elman ◽  
Matthew S. Panizzon ◽  
Carol E. Franz ◽  
...  
Keyword(s):  
Executive Function ◽  
Cognitive Decline ◽  
Cognitive Ability ◽  
Anxiety Symptoms ◽  
Self Report ◽  
Subjective Cognitive Decline ◽  
Continuous Measure ◽  
Depression And Anxiety ◽  
Cognitive Changes ◽  
Objective Prior

Background: Although not strongly correlated with current objective cognitive ability, subjective cognitive decline (SCD) is a risk factor for Alzheimer’s disease. Most studies focus on SCD in relation to future decline rather than objective prior decline that it purportedly measures. Objective: We evaluated whether self-report of cognitive decline—as a continuous measure—corresponds to objectively-assessed episodic memory and executive function decline across the same period. Methods: 1,170 men completed the Everyday Cognition Questionnaire (ECog) at mean age 68 assessing subjective changes in cognitive ability relative to 10 years prior. A subset had mild cognitive impairment (MCI), but MCI was diagnosed without regard to subjective decline. Participants completed up to 3 objective assessments of memory and executive function (M = 56, 62, and 68 years). Informant-reported ECogs were completed for 1,045 individuals. Analyses controlled for depression and anxiety symptoms assessed at mean age 68. Results: Participant-reported ECog scores were modestly associated with objective decline for memory (β= –0.23, 95%CI [–0.37, –0.10]) and executive function (β= –0.19, 95%CI [–0.33, –0.05]) over the same time period. However, these associations were nonsignificant after excluding MCI cases. Results were similar for informant ratings. Participant-rated ECog scores were more strongly associated with concurrent depression and anxiety symptoms, (β= 0.44, 95%CI [0.36, 0.53]). Conclusion: Continuous SCD scores are correlated with prior objective cognitive changes in non-demented individuals, though this association appears driven by individuals with current MCI. However, participants’ current depression and anxiety ratings tend to be strongly associated with their SCD ratings. Thus, what primarily drives SCD ratings remains unclear.

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