{"title":"探索教育心理学中的认知行为:对可靠性和有效性措施的严格分析》。","authors":"","doi":"10.1016/j.slast.2024.100144","DOIUrl":null,"url":null,"abstract":"<div><p>The purpose of this study is to verify the reliability and effectiveness of an educational psychology scale, which is explored by using the methods of literature, interview, questionnaire survey and mathematical statistics. The research object is the education psychology data of undergraduate students in local undergraduate colleges and universities.The data are collected and analyzed through the scale. The results show that the educational psychology scale contains six dimensions, including self-efficacy, learning motivation, hope trait, psychological resilience, physical self-esteem and emotional management, with a total of 27 items. The kmo sampling appropriateness of the scale is 0.800. The load of six dimensions in the total amount table is between 0.58 and 0.73. The fitting coefficient of each item of the structural model is between 0.45–0.73, and the correlation between each dimension and the total table is between 0.24–0.52. Scale cronbach's α The coefficient was 0.83 and the test-retest reliability was 0.90. The content validity of the scale ranged from 0.554 to 0.775. The scale has good reliability and validity, and can be used to evaluate undergraduate students' educational psychology.</p></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"29 4","pages":"Article 100144"},"PeriodicalIF":2.5000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2472630324000268/pdfft?md5=63ba18db754a7fdbb3df198a940437b4&pid=1-s2.0-S2472630324000268-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Exploring cognitive behavioral aspects in educational psychology: A rigorous analysis of reliability and validity measures\",\"authors\":\"\",\"doi\":\"10.1016/j.slast.2024.100144\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The purpose of this study is to verify the reliability and effectiveness of an educational psychology scale, which is explored by using the methods of literature, interview, questionnaire survey and mathematical statistics. The research object is the education psychology data of undergraduate students in local undergraduate colleges and universities.The data are collected and analyzed through the scale. The results show that the educational psychology scale contains six dimensions, including self-efficacy, learning motivation, hope trait, psychological resilience, physical self-esteem and emotional management, with a total of 27 items. The kmo sampling appropriateness of the scale is 0.800. The load of six dimensions in the total amount table is between 0.58 and 0.73. The fitting coefficient of each item of the structural model is between 0.45–0.73, and the correlation between each dimension and the total table is between 0.24–0.52. Scale cronbach's α The coefficient was 0.83 and the test-retest reliability was 0.90. The content validity of the scale ranged from 0.554 to 0.775. The scale has good reliability and validity, and can be used to evaluate undergraduate students' educational psychology.</p></div>\",\"PeriodicalId\":54248,\"journal\":{\"name\":\"SLAS Technology\",\"volume\":\"29 4\",\"pages\":\"Article 100144\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2024-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2472630324000268/pdfft?md5=63ba18db754a7fdbb3df198a940437b4&pid=1-s2.0-S2472630324000268-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SLAS Technology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2472630324000268\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SLAS Technology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2472630324000268","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
Exploring cognitive behavioral aspects in educational psychology: A rigorous analysis of reliability and validity measures
The purpose of this study is to verify the reliability and effectiveness of an educational psychology scale, which is explored by using the methods of literature, interview, questionnaire survey and mathematical statistics. The research object is the education psychology data of undergraduate students in local undergraduate colleges and universities.The data are collected and analyzed through the scale. The results show that the educational psychology scale contains six dimensions, including self-efficacy, learning motivation, hope trait, psychological resilience, physical self-esteem and emotional management, with a total of 27 items. The kmo sampling appropriateness of the scale is 0.800. The load of six dimensions in the total amount table is between 0.58 and 0.73. The fitting coefficient of each item of the structural model is between 0.45–0.73, and the correlation between each dimension and the total table is between 0.24–0.52. Scale cronbach's α The coefficient was 0.83 and the test-retest reliability was 0.90. The content validity of the scale ranged from 0.554 to 0.775. The scale has good reliability and validity, and can be used to evaluate undergraduate students' educational psychology.
期刊介绍:
SLAS Technology emphasizes scientific and technical advances that enable and improve life sciences research and development; drug-delivery; diagnostics; biomedical and molecular imaging; and personalized and precision medicine. This includes high-throughput and other laboratory automation technologies; micro/nanotechnologies; analytical, separation and quantitative techniques; synthetic chemistry and biology; informatics (data analysis, statistics, bio, genomic and chemoinformatics); and more.