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Implications of Change/Stability Patterns in Children’s Non-symbolic and Symbolic Magnitude Judgment Abilities Over One Year: A Latent Transition Analysis

机译:多年来,儿童非符号和象征幅度判断能力的变化/稳定模式的影响:潜在过渡分析

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Non-symbolic magnitude abilities are often claimed to support the acquisition of symbolic magnitude abilities, which, in turn, are claimed to support emerging math abilities. However, not all studies find links between non-symbolic and symbolic magnitude abilities, or between them and math ability. To investigate possible reasons for these different findings, recent research has analyzed differences in non-symbolic/symbolic magnitude abilities using latent class modeling and has identified four different magnitude ability profiles residing within the general magnitude ability distribution that were differentially related to cognitive and math abilities. These findings may help explain the different patterns of findings observed in previous research. To further investigate this possibility, we (1) attempted to replicate earlier findings, (2) determine whether magnitude ability profiles remained stable or changed over 1 year; and (3) assessed the degree to which stability/change in profiles were related to cognitive and math abilities. We used latent transition analysis to investigate stability/changes in non-symbolic and symbolic magnitude abilities of 109 5- to 6-year olds twice in 1 year. At Time 1 and 2, non-symbolic and symbolic magnitude abilities, number transcoding and single-digit addition abilities were assessed. Visuospatial working memory (VSWM), naming numbers, non-verbal IQ, basic RT was also assessed at Time 1. Analysis showed stability in one profile and changes in the three others over 1 year. VSWM and naming numbers predicted profile membership at Time 1 and 2, and profile membership predicted math abilities at both time points. The findings confirm the existence of four different non-symbolic–symbolic magnitude ability profiles; we suggest the changes over time in them potentially reflect deficit, delay, and normal math developmental pathways.
机译:通常要求保护非符号幅度能力来支持获取符号幅度能力,这反过来又称支持新出现的数学能力。但是,并非所有研究都发现了非符号和符号幅度能力之间的链接,或者在它们之间和数学能力之间。为了研究这些不同发现的可能原因,最近的研究已经分析了使用潜在阶级建模的非符号/象征性幅度能力的差异,并确定了四种不同的幅度能力曲线,其差异与认知和数学能力差异相关。这些发现可能有助于解释先前研究中观察到的不同结果。为了进一步调查这种可能性,我们(1)试图复制早期的发现,(2)确定幅度能力分布是否保持稳定或超过1年的变化; (3)评估了既定型材稳定/变化与认知和数学能力有关的程度。我们使用潜在过渡分析,在1年内调查稳定性/符号幅度能力的稳定性/变化,符号和象征性幅度能力的稳定性/变化。在时间为1和2,评估非符号和符号幅度能力,数字转码和单位添加能力。探索工作记忆(VSWM),命名号码,非口头IQ,基本RT也被评估1.分析显示了一个型材中的稳定性,并在1年内的三个其他人的变化。 VSWM和命名号码在时间1和2中预测了配置文件成员资格,并在两个时间点预测了Profile Membership预测数学能力。调查结果证实存在四种不同的非符号符号幅度能力分布;我们建议他们随着时间的推移变化可能反映赤字,延迟和正常的数学发展途径。

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