Online Short Spatial Ability Battery (OSSAB): Psychometric Norms for Older Students

Likhanov, Maxim; Tsigeman, Elina S.; Kovas, Yulia

doi:10.17223/17267080/78/7

Cited by 3 publications

(6 citation statements)

References 16 publications

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“…The distribution of the OSSAB total score was close to normal (see Figure 1); skewness and kurtosis varied within the acceptable range (from -2 to +2). The mean for the OSSAB total score was 52.99 (SD = 17.29) -very similar to that previously reported for adolescents (Mean = 51.02; SD = 20.02) [44]. The descriptive statistics for the OSSAB subtests (Shape Rotation, Mechanical Reasoning, Paper Folding, and Pattern Assembly) are presented in Table 2.…”

Section: Descriptive Analysissupporting

confidence: 80%

“…Two recent studies also used these 4 tests in university student samples as part of larger SA battery, showing good psychometric properties and robust correlations with other SA tests (on a Russian sample by E. Esipenko et al [42], on Russian and Chinese samples by M. V. Likhanov et al [43]). Later, M. V. Likhanov and colleagues developed psychometric norms for the use of the OSSAB with Russian schoolchildren and provided recommendations for adolescents with different levels of SA [44].…”

Section: Literature Reviewmentioning

confidence: 99%

“…In order to establish norms for the OSSAB in a student sample, we calculated the quartiles and boundaries of 8 levels of SA (following previous research in intelligence [47] and spatial ability [44]). The results are presented in Tables 6 and 7.…”

Section: Psychometric Normsmentioning

confidence: 99%

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Applicability of the Online Short Spatial Ability Battery to university students testing

Bartseva,

Likhanov,

Soldatova

et al. 2023

Obraz. nauka

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Introduction. Multiple studies advocate an importance of spatial abilities (SA) for educational and occupational success, especially in STEM. Recently an Online Short Spatial Ability Battery (OSSAB) was developed and normed for SA testing in adolescents. The battery includes mechanical reasoning, paper folding, pattern assembly, and shape rotation tests. The battery has shown good psychometric characteristics (high reliability and validity, low redundancy, discriminative power), and is available in open access and free to use.Aim. The present research aims: 1) to examine the applicability of the OSSAB for university student testing; 2) to describe its psychometric properties and structure; and 3) to investigate links between SA and educational performance.Methods. A total of 772 university students (aged from 18 to 26, mean age (SD) = 19.55 (1.51), 63.1% females) participated in the study. Participants provided information about their age, gender, university major, and academic achievement, and completed a battery of tests that included the OSSAB tests.Results. The study reports psychometric norms for using the OSSAB in university students. Students’ performance in the OSSAB was similar to that shown in previous research in adolescents in terms of means and variance. The OSSAB showed adequate psychometric properties in this sample: no floor or ceiling effects; low redundancy; moderate to high internal consistency; high discriminative power across university majors; and high external validity. The results indicated that around 6% of the students showed very high levels of SA (higher than 1.5 SD above the mean), and around 8% of students showed very low levels of SA (lower than 1.5 SD below mean). In addition, the OSSAB scores were linked to educational profile choice and exam scores, with small-to-medium effect sizes.Scientific novelty. The study provides psychometric norms for a short online open measure of spatial ability in university students.Practical significance. The OSSAB can be used to provide individual recommendations to students (e.g. SA training), to identify spatially gifted students, and for research purposes in university contexts.

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Section: Descriptive Analysissupporting

confidence: 80%

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Applicability of the Online Short Spatial Ability Battery to university students testing

Bartseva,

Likhanov,

Soldatova

et al. 2023

Obraz. nauka

Self Cite

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“…e logical starting point for behavioral measurement is James Lange's Emotional Body eory [21]. is theory believes that human emotions are caused by physical changes, and emotions are generated after physiological and behavioral changes [22][23][24].…”

Section: Related Workmentioning

confidence: 99%

Music Psychological Meta-Analysis and Real-Time Measurement Algorithm Based on Nonlinear Dynamic Incremental Internal Model Algorithm

Yan

2022

Scientific Programming

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As an important part of aesthetic education, music is the artistic expression of human emotions. It has a crucial impact on the cultivation of individual music perception ability, music aesthetic ability, music creation ability, etc. The degree of influence of emotions and values in music runs through the individual. This study introduces a method to independently design a predictive controller using the theoretical framework of the state-space method. Since the same results as DMC can be derived, it can be regarded as an understanding of DMC in the time domain. We take the asymptotically stable object of SISO as the model and use the step response coefficient to directly model, but this method makes the control uncontrollable, so we use the method of adding the correction parameter to make the observable process more effective. The advantages of one-time online optimization can reduce the amount of calculation and greatly enhance the robustness in the control process. In order to study the dynamic characteristics of the system, an internal model control system is introduced. By studying the closed-loop stability of the internal model system, the internal model structure of the dynamic matrix control system is studied, and its dynamic characteristics are further studied. When analyzing the dynamic characteristics, we can know that the dynamic characteristics of the system only depend on the object characteristics and control strategies, and have nothing to do with the model length. This study introduces the basic structure, main properties, and design method of the internal model controller. On the basis of conventional internal model control, an enhanced internal model control method is introduced. Through the analysis of the sensitivity function and the complementary sensitivity function, the robust performance and robust stability of the enhanced internal model control system are studied. Music learning psychology is related to the effect of music teaching. Since individual psychological development is dynamic and controllable, by grasping students’ music learning motivation and music psychological ability, we can well practice the concept of contemporary new curriculum standards and implement high-quality music courses. This study mainly discusses the music learning psychology itself, the analysis of real-time measurement results, and the analysis of teaching countermeasures, and does some research on music theory and teaching practice. Through real-time measurement research, it can be concluded that the real-time measurement results are relatively optimistic, which shows that teachers can maintain students’ learning well as long as they use teaching methods that conform to students’ learning psychology. The nonlinear dynamic incremental internal model algorithm can improve students’ various music psychological abilities and achieve the expected music teaching goals.

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“…Another study showed that training of visuospatial working memory and spatial reasoning enhanced maths learning in a randomized study of 17 thousand children (Judd & Klingberg, 2021). While there are some attempts to include spatial ability in educational systems (Castro‐Alonso & Uttal, 2019; Kell et al, 2013; Likhanov et al, 2021; Stieff et al, 2014; Stieff & Uttal, 2015), it is important to further explore the nature of spatial ability and identify potential aims for interventions.…”

Section: Introductionmentioning

confidence: 99%

This is the way: Network perspective on targets for spatial ability development programmes

Likhanov

Maslennikova

Costantini

et al. 2022

Brit J of Edu Psychol

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Background: Spatial ability (SA) was shown to be important for success in different fields, including STEM. Recent research suggested that SA is a unitary construct, rather than a set of related skills. However, it is not clear how individual differences in different facets of SA emerge, and how they relate to variance in general cognitive ability. Aims: The aim of the present study was threefold: 1) to examine the structure of SA testing nine theoretical models; 2) to explore the relation between 16 different facets of SA with general cognitive ability; and 3) to identify central facet(s) within the network of SA -with most links and/or strongest links to other facets. Sample: The study participants were 958 university students from Russia. Methods: The study used a comprehensive battery of 16 SA tests and a verbal ability measure. Results: Results supported previous research, suggesting moderate overlap between all SA facets. Factor analysis suggested several potential structures, with similar fit indices for five different theoretically driven models, including split into small-and large scale; partially independent manipulation, visualization and navigation facets. Confirmatory factor analysis, mediation and network analyses showed spatialThis is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

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Online Short Spatial Ability Battery (OSSAB): Psychometric Norms for Older Students

Cited by 3 publications

References 16 publications

Applicability of the Online Short Spatial Ability Battery to university students testing

Applicability of the Online Short Spatial Ability Battery to university students testing

Music Psychological Meta-Analysis and Real-Time Measurement Algorithm Based on Nonlinear Dynamic Incremental Internal Model Algorithm

This is the way: Network perspective on targets for spatial ability development programmes

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