Assessing psychology students’ difficulties in elementary variance analysis
Bibliographic Data
| ID | 7998769 |
|---|---|
| Authors | Oscar Vera (0000-0003-2163-8516, National University of Quilmes), Carmen Batanero (0000-0002-4189-7139, Universidad de Granada), Carmen Díaz (0000-0003-3392-4683, Universidad de Huelva), María del Mar López‐Martín (0000-0001-8677-9606, Universidad de Granada) |
| Year | 2016 |
| Volume | 16 |
| Issue | 48 |
| Pages | 487-487 |
| Publication date | 2016-07-14 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Revista Diálogo Educacional (JOURNAL) |
| Journal identifiers | ISSN: 1518-3483 • E-ISSN: 1981-416X |
| Publisher | Pontificia Universidade Catolica do Parana - PUCPR (PUBLISHER) |
| DOI | 10.7213/dialogo.educ.16.048.ds11 |
| OpenAlex | W2528250020 |
| Language | EN |
| Citations received | 1 |
| References cited | 1 |
In this paper we present a study directed to assess the students’ difficulties in understanding elementary variance analysis. Responses from 224 undergraduate psychology students who had previously studied this topic to a questionnaire are analysed. Contents of the questionnaire include the selection of a variance analysis model, understanding of assumptions and the associated linear model in this procedure, the computations involved in variance analysis and the interpretation of results. While the understanding of computations, the selection of the model, and the understanding of the decomposition of the variance in the linear model were easy, the students had difficulties in understanding the assumptions of variance analysis and in interpreting the results in the problem context. These results provide information in an area where little prior research is available
Analysis of variance · Context (archaeology · Interpretation (philosophy · Mathematics education · One-way analysis of variance · Selection (genetic algorithm · Statistics · Variance (accounting · Computer Science · Mathematics · Psychology · Statistics Education and Methodologies · Artificial Intelligence
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,14 |
| Citation span | 2019 - 2019 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |