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Aptitude

Aptitude refers to an individual's innate or acquired capacity for learning, problem-solving, or performing a specific task.
It encompasses cognitive abilities, skills, and talents that contribute to successful performance in various domains.
Aptitude can be influenced by genetic, environmental, and educational factors, and is often assessed through standardized tests or observational measures.
Understanding and evaluating aptitude is crucial for educational and career planning, as it helps identify individuals' strengths and potential areas for development.
Effortlessly locate the best aptitude protocols from literature, pre-prints, and patents using intelligent comparisons with PubCompare.ai's cutting-edge technology, and optimize your reseach workflow with unparalled precision in your aptitude-related investigations.

Most cited protocols related to «Aptitude»

In total, 234 people from 15 families of Finnish origin with some professional musicians and/or active amateurs were recruited for the study via a nationwide search by sending information leaflets or letters to the families whose members had studied or were studying at Sibelius Academy or music institutes in Finland (supplementary fig 1 online). The family members who first contacted us knew that there were some musicians or active amateurs in their families and informed their families about the study. Among the professional musicians, the two main groups were pianists and violinists. The amateurs were most commonly playing the piano or singing in a choir. The phenotypes of all family members were defined by three tests for musical aptitude: an auditory structuring ability test (the Karma Music test, KMT) designed by one of the authors,13 and the Seashore pitch and time discrimination subtests (SP and ST respectively).14 The KMT has been successfully used for 30 years in Finnish primary schools and music institutes a selection test for students to play an instrument. The KMT is devised to measure auditory structuring in a way that minimises the effects of training and/or culture.15 It uses small, abstract sound patterns that are repeated to form hierarchic structures. The subject’s task is to detect structural changes in these patterns, ie, changes in the order or number of the tones (an example of three items is enclosed in the supplementary material online). In a study that used the Mismatch Negativity (MMN) component of event related brain potentials, persons with high scores in the auditory structuring test were compared with those who had low score. There was a difference when the stimuli were sound patterns but not when mere pitches were used. This supports the validity of the test as a measure of auditory structuring rather than sensory differentiation.16 (link) In contrast, the SP and ST subtests consist of pair-wise comparisons of the physical properties of sound and are used to measure simple sensory capacities, such as ability to detect small differences in tone pitch or length. Testing was performed as a group test that lasted about 1 hour. Groups contained members from one family or from multiple families in each “session”. A total of 224 family members (105 males and 119 females) completed all tests and thus were included in further analyses.
All of the tests used a continuous scoring scale (for KMT, 0–40; for SP and ST, 0–50), with one point obtained for each correct answer. The reliabilities (α coefficients) of the tests were: KMT 0.88, SP 0.91 and ST 0.78. Calculating reliabilities is a standard procedure within the behavioural sciences. This index is an estimate of the share of systematic, non-random variance in measurements (maximum = 1). The correlations between the three tests were: KMT/SP 0.64, KMT/ST 0.41 and SP/ST 0.41. These results show that the tests are reliable and only partially overlapping.
The results of the three music tests were given to the participants if they were interested. Instructions for carrying out the tests are available on request.
Publication 2008
Aptitude Auditory Perception Behavior Therapy Brain Discrimination, Psychology Family Member Females Hearing Tests Males Phenotype Physical Processes Potentials, Event-Related Sound Student Selection
The measures are conceptualized as indicators for four task classes. Arguably these task classes tap different aspects of the working memory system. Within each task class indicators relied on either verbal, numerical, or figural-spatial stimuli and responses, or mixtures of two of these content domains. The selected task classes reflect operationalizations of competing WMC accounts and are frequently used measures for the assessment of WMC. Based on these two criteria, four WMC task classes were identified: (1) Complex Span (Cspan) tasks designed to capture simultaneous storage and processing in conditions of high interference, (2) Updating tasks assessing the accuracy of updating in working memory across a series of steps, (3) Recall N-back (RNb) tasks requiring the evaluation of the identity of each stimulus from a sequence to a preceding stimulus presented with a certain lag N, which also captures the updating of temporary bindings in working memory and (4) Binding tasks developed to test the ability to establish and briefly maintain bindings in working memory (see Figure 2 for a schematic representation of an example task for the four task classes).
Besides these four classes for measuring WMC, three covariates were of relevance in the present study. First, we developed three tests for the assessment of SM, capturing the aptitude to establish new associations in memory. These tasks were designed analogous to the binding tasks, except that list lengths were longer in order to exceed the capacity limits of primary memory and that memory for associations was tested over a much longer retention period filled with other tasks to ensure that recall relies entirely on SM. Second, two popular experimental paradigms—the Simon task and the Eriksen flanker task—were included to measure one aspect of cognitive control, the inhibition of strong but wrong response tendencies. Finally, we administered three tests of fluid intelligence as criterion measures.
Publication 2013
Aptitude Cognition Intelligence Tests Memory Memory, Short-Term Mental Recall Psychological Inhibition Retention (Psychology)
The following instruments were used for data collection:

SDQ. The SDQ is a 25-item, open-access document that is used to screen youths for behavioral problems. The respondent is asked to reply based on the behavior of the study child over the past 6 months. Five items refer to prosocial skills, and 20 refer to difficulties. These items are divided into five scales: emotional symptoms, conduct problems, hyperactivity/inattention, peer relationship problems, and prosocial behaviors. Each scale consists of five items answered on a scale of “not true,” “somewhat true,” or “certainly true.” The total difficulty score is calculated by adding the results of the scales (excluding the prosocial behavior scale). From the total difficulties score, the SDQ enables researchers to classify subjects as normal, borderline, or abnormal, based on cutoff points. The values proposed by the original study for a Brazilian population for the inclusion of children in each classification are as follows: 0–13 for the normal category, 14–16 for the borderline category, and 17–40 for the abnormal category (Fleitlich et al., 2000 ). Children can be classified into these categories on each scale of the instrument, and the absolute values for this classification vary among the individual scales. The parent version of this scale, which was translated and validated for Portuguese by Fleitlich and Goodman (2001 (link)), was used.

In Brazil, SDQ psychometric properties of reliability and discriminative validity were assessed and satisfactorily attested (Woerner et al., 2004a (link)). To verify the reliability of the instrument, the test-retest method and the calculation of Cronbach's alpha were used, and significant values were reported. In this study, the test-retest reliability (20 days) ranged from 0.77 to 0.79.
For the purposes of this study, the sections of the DAWBA corresponding to the SDQ scales were applied, relative to the diagnostic assessments of depression (Depression), anxiety (Generalized Anxiety), attention and hyperactivity (Attention and Activity), interpersonal relationships (Friendship Questionnaire), difficult behaviors (Awkward and Troublesome Behavior), and social skills (Aptitudes Scale). DAWBA was used as the gold standard for the comparison with the SDQ scales, to analyze its discriminative validity to identify behavioral difficulties and prosocial resources in school-age children.
Publication 2015
Anxiety Aptitude Attention Child Diagnosis Discrimination, Psychology Emotions Gold Parent Problem Behavior Psychometrics Youth
As previously discussed, the MARS-E and MARS, which were created by Suinn et al. (1972 (link), 1988 (link)), served as the primary model for the SEMA. The content of the items was based on a content analysis of the second and third grade curricula obtained from the Offices of Education of the following school districts within the Northern California Bay Area: San Francisco, San Jose, Santa Clara, and San Mateo. We also conducted an analysis of the standardized curriculum of the California Department of Education. Across the various school districts and the Department of Education, the five most commonly cited concepts for second and third graders were number sense, basic mathematical functions, measurement, geometry, and mathematical reasoning.
The SEMA’s first 10 items were based on second and third grade mathematics curriculum and were worded to assess the anxiety related to solving problems that involved these five concepts. The last 10 questions were designed to assess the anxiety related to social and testing situations that second and third graders often encounter while learning the aforementioned five concepts. These situations were modeled after those included in the MARS and MARS-E. Scale for Early Math Anxiety in Appendix shows the 20 questions that comprise the SEMA.
Although the format of the MARS-E and MARS was easily adopted for use with second and third graders, the task of creating grade-appropriate questions involved several choices. First, we wanted a measure that would mirror a two-factor structure similar to those of the MARS and MARS-E, but one that would also be appropriate for children who were in the early stages of math learning. In addition, the measure had to account for a wide range of math experiences and aptitudes such that the questions did not elicit high levels of anxiety by virtue of being too difficult for second graders. For example, an item related to solving 23 + 97 would inevitably cause more anxiety than 2 + 3. Thus, we based the content of the SEMA questions on math concepts that were consistently used in second and third grade math curricula across a variety of school districts. We were careful to note content of the math curriculums and included only basic single-digit two-addend addition problems, for example, instead of more complex three-addend or double-digit addition problems.
Publication 2012
Anxiety Aptitude Child Fingers Problem Solving Social Anxiety
At baseline participants were administered the Armed Services Vocational Aptitude Battery (ASVAB) which has 10 subtests: science, arithmetic, word knowledge, paragraph comprehension, numerical operations, coding speed, auto and shop information, mathematics knowledge, mechanical comprehension, and electronics information.
As our measure of intelligence we used the 1989 revision of the Armed Forces Qualification Test (AFQT) which is derived from the four ASVAB subtests that are the most general and less vocationally-specific, namely: arithmetic, word knowledge, paragraph comprehension, and mathematics knowledge.1 The AFQT percentile score was z transformed to zero mean and unit SD.
Publication 2009
Aptitude Military Personnel

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Publication 2023
A-factor (Streptomyces) Acclimatization Anthropogenic Effects Aptitude Buffers Carbon Clip Cloning Vectors Ecosystem factor A Forests
This study was part of a project on neuroaesthetics, which addressed issues pertaining to domain-general and domain-specific neural organization among art students in a variety of fields (visual arts, dance, piano, strings, vocals, percussions) and non-artist healthy controls. To facilitate inter-group comparisons, we had all of the artists undergo the same psychological assessments and neuroimaging using the same scanning protocols. In the current study, we focused exclusively on VAs and controls. Creativity can be a core mental competence of VA since the process of creating artwork reflects VA’s creativity (Getzels and Csikszentmihalyi, 2020 ). Thus, all participants took the self-reported 40-item Chinese version of the Abbreviated Torrance Test for Adults (ATTA) to assess their aptitude in tasks involving visual (figural) and verbal manipulation (Chen, 2006 ). The ATTA is commonly used for cross-artist group comparisons (not addressed in the current study); however, it includes a figural part that engages creative drawing mirroring the visual art training of VAs. The ATTA measures the ability to think creatively in terms of fluency, originality, elaboration, and flexibility (Chen, 2006 ). Fluency refers to the number of ideas that a participant can generate in a limited time. Originality indicates one’s ability to create unique ideas. Elaboration indicates the ability to embellish ideas with details. Flexibility indicates one’s ability to generate many different ideas (Althuizen et al., 2010 (link); Shen and Lai, 2014 (link)). The ATTA creativity index (CI) score refers to the sum of the four capacity scores. We followed standard protocols in administering and scoring the tests (Chen, 2006 ). SPSS Statistics (v. 23.0, IBM Corp., Armonk, NY, USA) was used for all psychological evaluation analyses. The results of the psychological evaluations were considered significant at p < 0.05.
Publication 2023
Adult Aptitude Chinese Creativity Nervousness Originality Percussion Student
Panamath test (Halberda et al., 2008 (link)) was designed for evaluating number sense and approximate number system aptitude (Halberda et al., 2012 (link)), available at the Panamath website (https://panamath.org/index.php). In this task, a set of blue and yellow dots appears on the screen for 2 s, which is too quick to allow for counting (Fig. 4), and children have to indicate which side shows more dots. In the present study, we included two teaching trials, followed by eight practice trials and 64 experimental trials.

An example of Panamath Test

Publication 2023
Aptitude Child
All tasks were delivered online. Participants first signed a written consent form and completed demographic information (e.g., age, education, gender, prior diagnoses). Those in the autism group also uploaded their diagnosis certificate (see details in S1 File). All participants then performed the IGT. In this task participants are presented with four decks of cards labeled A, B, C, and D. They can select a single card from these four decks in each trial. After selecting each card, participants receive token money (the amount is displayed on the screen). Task payoffs are presented in Table 1 and screen illustrations appear in S1 File. Two of the decks are advantageous and produce lower gains but somewhat lower (uncertain) losses; these have positive expected values. The other two decks are disadvantageous and produce higher gains but also higher (uncertain) losses; these have negative expected values. The cumulative payoff is presented at the bottom of the display and is updated at the end of each trial. The display also includes the amount given to participants at the beginning of the task as a “loan”. The initial loan in our study was $3500. The minimum inter-trial interval was set to one second, and the task included 120 trials, which were analyzed by dividing them into four 30-trials blocks. Participants were given verbal instructions identical to those provided in Johnson et al. [4 (link)] (see S1 File). Following the standard version of the IGT there was another block of trials with no payoff feedback. This trial block was administered at the end so that participants first learn the incentive structure of the task. Given the fact that there was no feedback we felt that 30 trials would be sufficient to gage the participants’ responses. Prior to this no-feedback block, participants were instructed that over the next trials they would not receive any payoff feedback. Amounts were converted to actual money at the end of the task at a rate of $1 for each $1500 of token money.
Next, participants completed verbal and non-verbal brief intellectual aptitude tests. The verbal test was the Multidimensional Aptitude Battery (MAB; [26 ]), a modified Similarities subscale from the Wechsler Abbreviated Scale of Intelligence (WASI; [27 ]). The non-verbal test was the Raven Standard Progressive Matrices (RSPM, Set 1; [28 ]).
Finally, in order to validate group differences, we administered additional self-report questionnaires for autism-related symptoms, the Autism Spectrum Quotient (AQ10) [29 (link)] and the Social Responsiveness Scale, 2nd Edition (SRS-2) (adult self-report version [30 ]). The AQ10 is a self-administered ten-item questionnaire used for measuring where adults lie on the autism spectrum or continuum. Though there are some findings questioning the reliability and validity of the AQ10 [31 (link), 32 ], we used it as a brief validation of the documented diagnosis. The SRS-2 is a 65-item questionnaire that assesses difficulties in reciprocal social behavior that lead to interference with everyday social interactions.
Publication 2023
Adult Aptitude Aptitude Tests Autistic Disorder Cardiac Arrest Diagnosis Feelings Gender Pervasive Development Disorders Wechsler Scales
Rhythm aptitude was measured with the rhythm section of the computer-based version of the Primary Measures of Music Audiation (Gordon, 1979 (link)). In each trial, the children were presented with two monotonic melodic rhythmic excerpts that were either identical or slightly varied in their temporal pattern, and then they were asked to decide whether the two rhythms were the same or different. The task consisted of two practice trials with one same and one different trial and 40 test trials with 20 same and 20 different trials. Children were given feedback about the correctness of their answers only in the practice phase and not in the testing phase. Same and different trials appeared in the same order for each child. The task was implemented in a game format in which a dog named Molly gets one step closer to her home with every answer. Depending on their computer abilities, children responded verbally or by selecting the option with a computer mouse. We used d′, the difference between z-scored hit and false alarm rate as a measure of rhythm discrimination.
Publication 2023
Aptitude Child Discrimination, Psychology Mice, House Molly

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More about "Aptitude"

Aptitude refers to an individual's inherent or acquired capacity for learning, problem-solving, and task performance.
It encompasses cognitive abilities, skills, and talents that contribute to successful outcomes across various domains.
Aptitude can be influenced by genetic, environmental, and educational factors, and is often assessed through standardized tests or observational measures.
Understanding and evaluating aptitude is crucial for educational and career planning, as it helps identify individuals' strengths and potential areas for growth.
Researchers can effortlessly locate the best aptitude protocols from literature, pre-prints, and patents using PubCompare.ai's intelligent comparison technology.
This AI-driven platform enables unparalled precision in aptitude-related investigations, optimizing the research workflow.
Synonyms for aptitude include ability, capability, potential, and talent, while related terms include cognition, intelligence, and performance.
Abbreviations like IQ (intelligence quotient) and EQ (emotional quotient) are also commonly associated with aptitude assessments.
Key subtopics within aptitude research include cognitive abilities (e.g., verbal, mathematical, spatial reasoning), problem-solving skills, and task-specific talents.
Techniques like MRS broth, F-7000 fluorescence spectrophotometer, BovineSNP50 v1 BeadChip, and IX83 microscope may be utilized in aptitude-related studies.
Data analysis software such as Suite-Maestro v. 10.1, SPSS Statistics, and R version 4.0.2 can be employed to process and interpret aptitude data, while the PsiCHECK-2 vector may be used in genetic or neurological aptitude assessments.
By leveraging PubCompare.ai's cutting-edge technology, researchers can optimize their workflows and gain unparalled precision in their aptitude-related investigations.