Evidence map›Paper›PMID 37251027›Full record

ArticleFrontiers in psychology2023

The development of career planning scale for junior high school students based on cognitive information processing theory.

Peng Wang, Tiantian Li, Zhigang Wu, Xiao Wang, Jihao Jing, Jianjun Xin, Xiuchun Sang, Binrong Dai

Abstract read
In one paragraph

Article in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Peng WangSchool of Psychology, Shandong Normal University, Jinan, China.
Tiantian LiFaculty of Education, Shandong Normal University, Jinan, China.
Zhigang WuPreschool Education Department, Weifang Institute of Technology, Weifang, China.
Xiao WangSchool of Psychology, Shandong Normal University, Jinan, China.
Jihao JingFaculty of Education, Shandong Normal University, Jinan, China.
Jianjun XinFaculty of Education, Shandong Normal University, Jinan, China.
Xiuchun SangFaculty of Education, Shandong Normal University, Jinan, China.
Binrong DaiShouguang City Luocheng Street to Liulu Experimental Primary School, Weifang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Based on the career theory of Cognitive Information Processing (CIP), we selected scale items from literature reviews and expert guidance. The scale consisted of 28 items with 4 factors (interests, abilities, values, personality). To test the scale's factor structure, we used confirmatory factor analysis (CFA), and the model was modified according to CFA results. The second-order confirmatory factor analysis was applied to the model of the scale to prove the rationality of the total score. The internal consistency were evaluated using Cronbach's alpha coefficients. In addition, the composite reliability (CR) and average variance extraction (AVE) of the scale were also calculated to test the convergent validity. After related analyses, the scale was proved to have good psychometric properties, which can be used to measure junior high school students' career planning level in information technology course from the aspects of interest, ability, values, and personality. The effect of the first-order confirmatory factor analysis model constructed in this study is not ideal. Therefore, on this basis, a second-order confirmatory factor analysis model is constructed in combination with existing literatures, and the rationality of the model is verified through data, which highlights the novelty of this study.

Indexed as

career planningcognitive information processing theoryinformation technology coursepsychometric propertiesscale developmenty

Identifiers

PMID37251027
PMCPMC10214959

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