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Self-Regulation for Reading Comprehension: Assessment of Strategies and Time Management

Autorregulação para Compreensão de leitura: Avaliação de Estratégias e Gerenciamento do Tempo

ABSTRACT

Self-regulation of learning strategies and time management can foster reading comprehension. This research investigated the content validity of three scales aimed at Middle School students: the Reading Strategies (EE-CL), the Time Planning and Organization (EOT-L), and the Procrastination (EP-L). Three researchers and 16 students evaluated the scales. The theoretical and practical relevance of the EE-CL and EOT-L was verified, but not of the EP-L, whose remaining items were included in the EOT-L. In the internal structure investigation (N= 522 students), the EE-CL presented a unifactorial structure and the EOT-L, two factors, with reasonable reliability estimates. Both scales may help identify specific problems of students' self-regulation aimed at strategies and time management for reading comprehension and support further research.

KEYWORDS:
self-management; study habits; reading; middle school; psychological assessment

RESUMO

A autorregulação das estratégias de aprendizagem e do gerenciamento do tempo fomentam a compreensão de leitura. Nesta pesquisa investigou-se a validade de conteúdo das escalas Estratégias para Leitura (EE-CL), Planejamento e Organização do Tempo (EOT-L) e Procrastinação (EP-L), destinadas ao Ensino Fundamental II. Participaram três pesquisadores e 16 alunos. Identificou-se a pertinência teórica e prática da EE-CL e EOT-L, mas não da EP-L, cujos itens remanescentes foram incluídos na EOT-L. Na análise da estrutura interna (N= 522 estudantes) a EE-CL apresentou uma estrutura unifatorial e a EOT-L, dois fatores, com estimativas adequadas de fidedignidade. Essas escalas podem auxiliar na identificação de problemas na autorregulação das estratégias e do gerenciamento do tempo na compreensão de leitura, bem como subsidiar novas pesquisas.

PALAVRAS-CHAVE:
autogestão; hábitos de estudo; leitura; ensino fundamental; avaliação psicológica

Self-regulation of learning directed to strategies and time management is associated with performance in reading. Therefore, evaluating the levels of students' self-regulation in these two variables enables the proposition of improvements in teaching practices aimed at reading and reading comprehension (Gilakjani & Sabouri, 2016Gilakjani, A. P., & Sabouri, N. B. (2016). How can students improve their reading comprehension skill.Journal of Studies in Education, 6(2), 229-240. http://dx.doi.org/10.5296/jse.v6i2.9201
http://dx.doi.org/10.5296/jse.v6i2.9201...
; White & DiBenedetto, 2015White, M. C., & DiBenedetto, M. K. (2015). Self-regulation and the Common Core: Application to Ela Standards. Routledge.). To support the assessment of self-regulation of these skills in Middle School students, this study aimed to investigate the psychometric properties of three instruments: the Reading Comprehension Strategies Scale (Escala Estratégias para Compreender a Leitura - EE-CL), the Reading Time Organization Scale (Escala Organização do Tempo para Leitura- EOT-L), and the Reading Procrastination Scale (Escala Procrastinação para Ler- EP-L).

These scales were built to assess two of the six dimensions of self-regulation for learning proposed by Zimmerman and Risemberg (1997Zimmerman, B. J., & Risemberg, R. (1997). Self-Regulatory Dimensions of Academic Learning and Motivation. In G. D. Phye (Ed). Handbook of Academic Learning, 105-125. Academic Press. https://doi.org/10.1016/b978-012554255-5/50005-3
https://doi.org/10.1016/b978-012554255-5...
): method and time management. The other dimensions of self-regulation refer to motivation, self-perceived behavior, physical environment, and the social environment (Schunk & Usher, 2013Schunk, D. H., & Usher, E. L. (2013). Barry J. Zimmerman’s theory of self-regulated learning. In H., Bembenutty, A., Kitsantas, & T. J., Cleary (Eds.). Applications of self-regulated learning across diverse disciplines: A tribute to Barry J. Zimmerman, (pp. 1-28). Information Age Publishing.; White & DiBenedetto, 2015White, M. C., & DiBenedetto, M. K. (2015). Self-regulation and the Common Core: Application to Ela Standards. Routledge.; Zimmerman & Risemberg, 1997Zimmerman, B. J., & Risemberg, R. (1997). Self-Regulatory Dimensions of Academic Learning and Motivation. In G. D. Phye (Ed). Handbook of Academic Learning, 105-125. Academic Press. https://doi.org/10.1016/b978-012554255-5/50005-3
https://doi.org/10.1016/b978-012554255-5...
). The concept of reading comprehension that founded the scales came from Kintsch and Rawson (2013Kintsch, W., & Rawson, K. A. (2013). Compreensão. In M. J. Snowling, & C. Hulme (Orgs.). A ciência da leitura, (pp. 227-244). Editora Penso: Porto Alegre.). These researchers define reading comprehension as a process involving different processing levels - from the linguistic level (e.g., decoding and word recognition) to the situational model (integration of text content with prior knowledge). The basis for the degree of reading comprehension development for Middle School students was based on the Common National Curriculum Base (Base Nacional Comum Curricular [BNCC]; Ministério da Educação, 2017Ministério da Educação, Brasil (2017). Base Nacional Comum Curricular. Retrieved from http://basenacionalcomum.mec.gov.br/images/BNCC_publicacao.pdf
http://basenacionalcomum.mec.gov.br/imag...
) and the reference matrices in the Portuguese language of the Basic Education Assessment System (Sistema de Avaliação da Educação Básica [SAEB]; Ministério da Educação, 2018Ministério da Educação, Brasil(2018). Prova Brasil: Apresentação. Retrieved from http://portal.mec.gov.br/prova-brasil
http://portal.mec.gov.br/prova-brasil...
).

The EE-CL assesses the method dimension, which encompasses strategies that may facilitate reading comprehension (Schunk & Usher, 2013Schunk, D. H., & Usher, E. L. (2013). Barry J. Zimmerman’s theory of self-regulated learning. In H., Bembenutty, A., Kitsantas, & T. J., Cleary (Eds.). Applications of self-regulated learning across diverse disciplines: A tribute to Barry J. Zimmerman, (pp. 1-28). Information Age Publishing.; Zimmerman & Risemberg, 1997Zimmerman, B. J., & Risemberg, R. (1997). Self-Regulatory Dimensions of Academic Learning and Motivation. In G. D. Phye (Ed). Handbook of Academic Learning, 105-125. Academic Press. https://doi.org/10.1016/b978-012554255-5/50005-3
https://doi.org/10.1016/b978-012554255-5...
). The EOT-L measures two key processes of the time management dimension: planning and organization of reading time. The EP-L measures problems in self-regulation expressed through reading activity procrastination.

Learning strategies involve the intersection of cognitive and metacognitive level procedures that help the performance of school activities by facilitating access to information, decision-making, and content assimilation (Schunk & Usher, 2013Schunk, D. H., & Usher, E. L. (2013). Barry J. Zimmerman’s theory of self-regulated learning. In H., Bembenutty, A., Kitsantas, & T. J., Cleary (Eds.). Applications of self-regulated learning across diverse disciplines: A tribute to Barry J. Zimmerman, (pp. 1-28). Information Age Publishing.; Zimmerman & Risemberg, 1997Zimmerman, B. J., & Risemberg, R. (1997). Self-Regulatory Dimensions of Academic Learning and Motivation. In G. D. Phye (Ed). Handbook of Academic Learning, 105-125. Academic Press. https://doi.org/10.1016/b978-012554255-5/50005-3
https://doi.org/10.1016/b978-012554255-5...
). In tasks that require reading comprehension, students are more likely to be successful when they achieve self-regulation in strategies. Self-regulated students assess whether they are applying the strategies correctly and consider their level of effectiveness to decide whether they should continue to use them, they should adjust them, or whether they need to seek other strategies (Leopold & Leutner, 2015Leopold, C., & Leutner, D. (2015). Improving students’ science text comprehension through metacognitive self-regulation when applying learning strategies.Metacognition and Learning,10(3), 313-346. https://doi.org/10.1007/s11409-014-9130-2
https://doi.org/10.1007/s11409-014-9130-...
).

Associations have been found between reading comprehension and elaboration strategies, based on the selection of information, and metacognitive strategies, emphasizing planning, evaluation, and regulation (Pinto et al., 2016). In samples of American (7th to 12th grade) and Spanish (Secondary Education) students, classified as good readers, there was a predominance of a more extensive and more diversified repertoire of strategies applied to reading (Denton et al., 2015Denton, C. A., Wolters, C. A., York, M. J., Swanson, E., Kulesz, P. A., & Francis, D. J. (2015). Adolescents’ use of reading comprehension strategies: Differences related to reading proficiency, grade level, and gender.Learning and Individual Differences,37, 81-95. https://doi.org/10.1016/j.lindif.2014.11.016
https://doi.org/10.1016/j.lindif.2014.11...
; Pinto et al., 2016). These results were compatible with the conclusions from a literature review conducted by Gilakjani and Sabouri (2016Gilakjani, A. P., & Sabouri, N. B. (2016). How can students improve their reading comprehension skill.Journal of Studies in Education, 6(2), 229-240. http://dx.doi.org/10.5296/jse.v6i2.9201
http://dx.doi.org/10.5296/jse.v6i2.9201...
). The study by Pinto et al. (2016) identified that students with greater reading ability, compared to less skilled students, more often reported the use of elaboration strategies, centered on the selection of information, and regulation strategies, referring to adjustments in the reading speed according to the complexity of the material being read. Strategies are more effective for reading comprehension performance when they occur through self-regulated (White & DiBenedetto, 2015White, M. C., & DiBenedetto, M. K. (2015). Self-regulation and the Common Core: Application to Ela Standards. Routledge.; Zimmerman & Risemberg, 1997Zimmerman, B. J., & Risemberg, R. (1997). Self-Regulatory Dimensions of Academic Learning and Motivation. In G. D. Phye (Ed). Handbook of Academic Learning, 105-125. Academic Press. https://doi.org/10.1016/b978-012554255-5/50005-3
https://doi.org/10.1016/b978-012554255-5...
), like Leopold and Leutner (2015Leopold, C., & Leutner, D. (2015). Improving students’ science text comprehension through metacognitive self-regulation when applying learning strategies.Metacognition and Learning,10(3), 313-346. https://doi.org/10.1007/s11409-014-9130-2
https://doi.org/10.1007/s11409-014-9130-...
) found in an intervention study with German 10th-grade students, focusing on didactic texts.

In turn, time management involves estimating the period needed to carry out an activity, which involves planning and organizing activities around a deadline previously established by the students or others (Schunk & Usher, 2013Schunk, D. H., & Usher, E. L. (2013). Barry J. Zimmerman’s theory of self-regulated learning. In H., Bembenutty, A., Kitsantas, & T. J., Cleary (Eds.). Applications of self-regulated learning across diverse disciplines: A tribute to Barry J. Zimmerman, (pp. 1-28). Information Age Publishing.; White & DiBenedetto, 2015White, M. C., & DiBenedetto, M. K. (2015). Self-regulation and the Common Core: Application to Ela Standards. Routledge.). Self-regulated students mobilize their time based on task demands and the results they want to achieve. As with learning strategies, self-regulation of this skill involves students’ self-evaluation of how they plan and organize time and their impressions about the repercussions of these self-assessments concerning the results obtained (Schunk & Usher, 2013Schunk, D. H., & Usher, E. L. (2013). Barry J. Zimmerman’s theory of self-regulated learning. In H., Bembenutty, A., Kitsantas, & T. J., Cleary (Eds.). Applications of self-regulated learning across diverse disciplines: A tribute to Barry J. Zimmerman, (pp. 1-28). Information Age Publishing.; Zimmerman & Risemberg, 1997Zimmerman, B. J., & Risemberg, R. (1997). Self-Regulatory Dimensions of Academic Learning and Motivation. In G. D. Phye (Ed). Handbook of Academic Learning, 105-125. Academic Press. https://doi.org/10.1016/b978-012554255-5/50005-3
https://doi.org/10.1016/b978-012554255-5...
).

Problems in self-regulation such as lack of autonomy lead to procrastination, characterized by the tendency of students to systematically postpone academic activities even though they are aware of the negative consequences of this action (Lenggono & Tentama, 2020Lenggono, B., & Tentama, F. (2020). Construction measurement of academic procrastination of eleventh grade high school students in Sukoharjo. International Journal of Scientific and Technology Research, 9(01), 454-459. http://eprints.uad.ac.id/id/eprint/20077
http://eprints.uad.ac.id/id/eprint/20077...
; Zacks & Hen, 2018Zacks, S., & Hen, M. (2018). Academic interventions for academic procrastination: A review of the literature.Journal of Prevention & Intervention in the Community,46(2), 117-130. https://doi.org/10.1080/10852352.2016.1198154
https://doi.org/10.1080/10852352.2016.11...
; Ziegler & Opdenakker, 2018Ziegler, N., & Opdenakker, M. C. (2018). The development of academic procrastination in first-year secondary education students: The link with metacognitive self-regulation, self-efficacy, and effort regulation.Learning and Individual Differences,64, 71-82. https://doi.org/10.1016/j.lindif.2018.04.009
https://doi.org/10.1016/j.lindif.2018.04...
). A longitudinal study with Dutch students (1st year of Secondary Education) suggests that low self-efficacy, metacognitive self-regulation, and effort regulation are predictors of procrastination (Ziegler & Opdenakker, 2018Ziegler, N., & Opdenakker, M. C. (2018). The development of academic procrastination in first-year secondary education students: The link with metacognitive self-regulation, self-efficacy, and effort regulation.Learning and Individual Differences,64, 71-82. https://doi.org/10.1016/j.lindif.2018.04.009
https://doi.org/10.1016/j.lindif.2018.04...
).

Furthermore, problems in self-regulation that reflect the misuse of learning strategies, time management, and procrastination can be overcome through interventions aimed at, for example, encouraging self-assessment of the procedures adopted during reading and through guidance on how to manage time (Leopold & Leutner, 2015Leopold, C., & Leutner, D. (2015). Improving students’ science text comprehension through metacognitive self-regulation when applying learning strategies.Metacognition and Learning,10(3), 313-346. https://doi.org/10.1007/s11409-014-9130-2
https://doi.org/10.1007/s11409-014-9130-...
; Xu, 2016Xu, Z. (2016). Just do it! Reducing academic procrastination of secondary students.Intervention in School and Clinic,51(4), 212-219. https://doi.org/10.1177/1053451215589178
https://doi.org/10.1177/1053451215589178...
). Before any intervention, however, it is crucial to develop diagnostic assessments of students’ self-regulation abilities. The goal of this study was to provide instruments that may allow such diagnostic assessments.

The main aim of this study was to investigate the evidence based on test content and the evidence based on the internal structure of the EE-CL, EOT-L, and EP-L. Another aim was to estimate the scales’ reliabilities. It was hypothesized that the content of the scales would have theoretical relevance and practical relevance to assess the strategies applied to reading, time management (planning and organization), and procrastination. Middle School students would be able to understand their content and functioning. They also would recognize the situations presented in the items as representative of their daily academic lives (AERA et al., 2014American Educational Research Association, American Psychological Association, & National Council on Measurement in Education (2014). Standards for educational and psychological testing. American Educational Research Association.). Concerning the structure of the scales, we expected to find unifactorial solutions and that these would present adequate reliability indices.

Content validity evidence study - part 1: Judges’ Analysis

Method

Participants

The sample consisted of three researchers (judges) with expertise in Psychological and Educational Assessment and with the constructs of self-regulation for learning and reading comprehension of primary education students. The judges have been working for a mean of 16.66 years (SD = 13.87 years) in the role of researchers and professors in higher education institutions in Brazil and Portugal.

Instrument

Judges’ Evaluation Protocol. The protocol assessed the content of the EE-CL (22 items), EOT-L (13 items), and EP-L (11 items) using four criteria: language clarity, practical relevance, theoretical relevance - answered on a Likert scale, and dimension theoretical - answered on a dichotomous scale (Yes or No). The theoretical aspects of the scales were evaluated based on the six dimensions of self-regulation proposed by Zimmerman and Risemberg (1997Zimmerman, B. J., & Risemberg, R. (1997). Self-Regulatory Dimensions of Academic Learning and Motivation. In G. D. Phye (Ed). Handbook of Academic Learning, 105-125. Academic Press. https://doi.org/10.1016/b978-012554255-5/50005-3
https://doi.org/10.1016/b978-012554255-5...
). The protocol also had a section for judges to comment on the scales.

Data collection procedure

The Research Ethics Committee approves the project from the Universidade São Francisco (Authorization No. 3.263.350). The study with the judges was carried out remotely using Google Forms. To gain access to the Judge Evaluation Protocol, the judges had to accept the consent terms.

Data analysis procedure

Microsoft Excel® software.We apply the Content Validity Coefficient (CVC) calculation, as recommended by Hernández-Nieto (2002Hernández-Nieto, R. A. (2002). Contributions to Statistical Analysis. BookSurge Publishing.). In the validation criteria, clarity of language, practical relevance, and theoretical relevance, items with values of CVCc ≥ .80 are considered adequate, and factors or the full-scale (CVCtotal ≥ .80). Fleiss’ Kappa values (k) ≥ .40 are considered adequate at the theoretical dimensional (Brennan & Prediger, 1981Brennan, R. L., & Prediger, D. J. (1981). Coefficient kappa: Some uses, misuses, and alternatives.Educational and Psychological Measurement,41(3), 687-699. https://doi.org/10.1177/001316448104100307
https://doi.org/10.1177/0013164481041003...
). The judges’ observations were analyzed qualitatively, emphasizing the convergence between the theoretical aspects that underlie the concepts of learning strategies and time management for reading comprehension from the perspective of self-regulation dimensions (Zimmerman & Risemberg, 1997Zimmerman, B. J., & Risemberg, R. (1997). Self-Regulatory Dimensions of Academic Learning and Motivation. In G. D. Phye (Ed). Handbook of Academic Learning, 105-125. Academic Press. https://doi.org/10.1016/b978-012554255-5/50005-3
https://doi.org/10.1016/b978-012554255-5...
) with the Middle School context. The judges also assessed the quality of item construction (AERA, APA, & NCME, 2014American Educational Research Association, American Psychological Association, & National Council on Measurement in Education (2014). Standards for educational and psychological testing. American Educational Research Association.). The quantitative and qualitative criteria of the CVCc and CVCtotal supported the maintenance, reformulation, and exclusion of items.

Results

Table 1 shows that the EE-CL obtained CVCt > .80 in the three validation criteria, and thek= .88 was qualified as almost perfect. Item 17 was reformulated due to Constant Content Validity Coefficient (CVCc) > .80. Regarding exclusions, in item 11, the judges highlighted a failure in constructing the sentence - incomplete content. Item 22 was classified as not very representative of behaviors observed in Middle School students.

Table 1
Reading Comprehension Strategies Scale (EE-CL): Content Validity Coefficient

The EOT-L and EP-L had CVCt > .80 and k = 1, classified as perfect (see Table 2 and Table 3). Regarding the reformulations, in item 12 of the EOT-L, the judges indicated an object (diary) that the students might not have. Item 14 of the EOT-L and items 2, 4, and 6 of the EP-L changes were intended to promote their intelligibility.

Table 2
Reading Time Organization Scale (EOT-L): Content Validity Coefficient
Table 3
Reading Procrastination Scale (EP-L): Content Validity Coefficient

Content validity evidence study - part 2: Target audience study

Method

Participants

Sample of 16 students from the 6th to 9th year of Middle School at a school located in the state of São Paulo. The students were distributed evenly regarding school years and sex. The students had no history of year repetition, with a minimum age of 11 and a maximum of 15 years (M = 13; SD = 1.31).

Instrument

Target Audience Assessment Protocol. This instrument assessed the students’ understanding of the statement, the answer key options (Part 1), and the EE-CL, EOT-L, and EP-L. The content of the items was measured by intelligibility and relevance to the school reality experienced by the students.

Data collection procedure

After authorization to carry out the target audience study from the school, parents/guardians consented to the participation of students in the research by signing the consent form. The students agreed to participate by also signing a consent form.

To respond to the Target Audience Assessment Protocol, students must be able to read without difficulties since the purpose of the instrument is to assess the scales. Because of this, the pedagogical coordinator was asked to select students who did not have reading difficulties. This selection was made by the pedagogical coordinator based on the exchange of information about the students with the Portuguese language teacher.

The interviews were conducted in two stages to avoid the fatigue effect on the students and took place individually in a semi-structured interview format. Parts I and II of the protocol were applied at an interval of one to two weeks.

Data analysis procedure

The statement's evaluation, the answer key options, and the EE-CL, EOT-L, and EP-L items were computed using Absolute Frequency (AF). The open-ended responses were analyzed qualitatively to ensure that the content of the items was compatible with students’ cognitive level and ensure their understanding of the functioning of the scales. The combination of quantitative and qualitative results supported the reformulation and exclusion of items. In addition, the researchers also based their decisions on theoretical aspects of self-regulation for learning and the instrument construction guides (AERA et al., 2014American Educational Research Association, American Psychological Association, & National Council on Measurement in Education (2014). Standards for educational and psychological testing. American Educational Research Association.; Borsa & Seize, 2017Borsa, J. C., & Seize, M. M. (2017). Construção e adaptação de instrumentos psicológicos: caminhos possíveis. Em B. F. Damásio & J. C. Borsa (Orgs.). Manual de desenvolvimento de instrumentos psicológicos, (pp. 15-38). Vetor Editora.).

Results

Concerning Part I of the Target Audience Assessment Protocol, it was found that the difficulties highlighted by the students in evaluating the statements and labels of the answer keys of the EE-CL, EOT-L, and EP-L referred to the particularities of this task (see Tables 3, 4, and 5). This hypothesis was confirmed during the interviews. Students were used to taking tests (e.g., National Assessment of School Achievement [Avaliação Nacional do Rendimento Escolar], Ministério da Educação, 2018Ministério da Educação, Brasil(2018). Prova Brasil: Apresentação. Retrieved from http://portal.mec.gov.br/prova-brasil
http://portal.mec.gov.br/prova-brasil...
). However, they had never played the role of psychological test evaluators. This problem was overcome through additional guidance on the role of students in the target audience study. The purpose of this procedure was to ensure that students understood the aim of the task.

Based on students' comments in Part II of the Target Audience Assessment Protocol, two items of the EE-CL were reformulated, and two items were excluded - see Table 4. In item 5, the students presented a specific difficulty assimilating the passage that indicates "moving back and forth within a text".

Table 4
Reading Comprehension Strategies Scale (EE-CL): Target Audience Study

Table 5 indicates the reformulation of one EOT-L item. In item 6, the word encontrar (find) was replaced by arrumar (arrange). Five items were excluded. In particular, items 2, 4, 5, and 14 require students’ metacognitive reasoning to associate the items with the organization of time based on the complexity of the reading comprehension task. This type of reasoning is a characteristic of task self-monitoring, another aspect of self-regulation linked to time management, but which is not the focus of EOT-L. In item 13, a pause in reading was not classified as a way to manage time. Students perceived this behavior as a demonstration of giving up due to physical fatigue and lack of motivation.

Table 5
Reading Time Organization Scale (EOT-L): Target Audience Study

Regarding the EP-L, Table 6 shows the exclusion of six items. The contents of items 5, 8, and 10 cover situations experienced by the students, however, which may not be under their control and possibly not entirely related to procrastination. Consequently, students could achieve maximum scores in these items because they have other obligations that would make it impossible to carry out the reading required by the school, not because they have beliefs related to procrastination. A negative consequence of keeping them on the scale would be the misinterpretation that students have self-regulation problems in managing time for reading activities, classifying them as procrastinating students. In items 7 and 11, the students gave a motivational connotation, mainly to the term “enjoy” (item 7), understood as pleasure and effort, beyond the scope of the scale. After the exclusions, the EP-L had five items (see Table 3, items 1, 2, 4, 6, and 9). These items were relocated to EOT-L as a potential factor to assess problems in self-regulation to manage the time for activities that involve reading.

Table 6
Reading Procrastination Scale (EP-L): Target Audience Study

Steps 1 and 2: Discussion

Based on the results of steps 1 and 2 of this study, it was concluded that the EE-CL (18-item version) and EOT-L (8-item version) presented evidence of content validity. In the target audience study (step 2), this evidence was supported for only five items of the EP-L, which the students qualified as representative of difficulties in managing time to perform activities that require reading. Therefore, it was conjectured that these items refer to problems in students’ self-regulation of time management, emphasizing procrastination (Zacks & Hen, 2018Zacks, S., & Hen, M. (2018). Academic interventions for academic procrastination: A review of the literature.Journal of Prevention & Intervention in the Community,46(2), 117-130. https://doi.org/10.1080/10852352.2016.1198154
https://doi.org/10.1080/10852352.2016.11...
; Ziegler & Opdenakker, 2018Ziegler, N., & Opdenakker, M. C. (2018). The development of academic procrastination in first-year secondary education students: The link with metacognitive self-regulation, self-efficacy, and effort regulation.Learning and Individual Differences,64, 71-82. https://doi.org/10.1016/j.lindif.2018.04.009
https://doi.org/10.1016/j.lindif.2018.04...
).

This study also revealed that the quality of the test construction reflects on the results of investigations of its psychometric properties, given that problems in the elaboration of items can compromise the intelligibility and representativeness of the measure (AERA et al., 2014American Educational Research Association, American Psychological Association, & National Council on Measurement in Education (2014). Standards for educational and psychological testing. American Educational Research Association.; Carvalho & Ambiel, 2017Carvalho, L. F., & Ambiel, R. A. M. (2017). Construção de instrumentos psicológicos. Em B. F. Damásio & J. C. Borsa (Orgs.). Manual de desenvolvimento de instrumentos psicológicos, (pp. 39-56). Vetor Editora.). For example, item 11 of the EE-CL, “I search for similar texts,” was evaluated as an incomplete sentence in the judges’ analysis. Item 8 from the EP-L, “I do not have time to read school texts because I have too many things to do,” and item 10, “It is difficult to find time to read,” presented situations that may distance themselves from the reality evaluated. Some items mentioned related constructs, such as motivation, in items 7, “I only find time to read what I enjoy,” and 11, “I do not want to go back to reading texts that are difficult to understand,” of the EP-L. Therefore, this study also served to improve the EE-CL, EOT-L, and EP-L items by submitting them to the appreciation of experts in the evaluated constructs and the target audience of these scales (AERA et al., 2014American Educational Research Association, American Psychological Association, & National Council on Measurement in Education (2014). Standards for educational and psychological testing. American Educational Research Association.; Borsa & Seize, 2017Borsa, J. C., & Seize, M. M. (2017). Construção e adaptação de instrumentos psicológicos: caminhos possíveis. Em B. F. Damásio & J. C. Borsa (Orgs.). Manual de desenvolvimento de instrumentos psicológicos, (pp. 15-38). Vetor Editora.).

The importance of the items being understandable is also emphasized, considering the intelligibility of the wording and the consonance between the reality portrayed in their content and that experienced by the students (AERA et al., 2014American Educational Research Association, American Psychological Association, & National Council on Measurement in Education (2014). Standards for educational and psychological testing. American Educational Research Association.; Toland & Usher, 2015). This premise underlies, for example, the exclusion from the EOT-L of items 4, “I take longer to understand complicated texts” and 5, “I take less time to understand easy texts,” in which time management appears implicitly. It is recognized that self-regulation manifests itself in the metacognitive aspects present in self-assessment and self-monitoring of actions and thoughts underlying time management (Schunk & Usher, 2013Schunk, D. H., & Usher, E. L. (2013). Barry J. Zimmerman’s theory of self-regulated learning. In H., Bembenutty, A., Kitsantas, & T. J., Cleary (Eds.). Applications of self-regulated learning across diverse disciplines: A tribute to Barry J. Zimmerman, (pp. 1-28). Information Age Publishing.; Ziegler & Opdenakker, 2018Ziegler, N., & Opdenakker, M. C. (2018). The development of academic procrastination in first-year secondary education students: The link with metacognitive self-regulation, self-efficacy, and effort regulation.Learning and Individual Differences,64, 71-82. https://doi.org/10.1016/j.lindif.2018.04.009
https://doi.org/10.1016/j.lindif.2018.04...
). However, for the target audience of this scale, it was observed that situations involving planning and organization of time were better understood if presented objectively.

Finally, the items from the EP-L were relocated to the EOT-L, focusing on the difficulty of time management expressed mainly by problems in self-regulation, which tend to be associated with unfavorable academic behaviors for learning, as is the case in procrastination (Zacks & Hen, 2018Zacks, S., & Hen, M. (2018). Academic interventions for academic procrastination: A review of the literature.Journal of Prevention & Intervention in the Community,46(2), 117-130. https://doi.org/10.1080/10852352.2016.1198154
https://doi.org/10.1080/10852352.2016.11...
; Ziegler & Opdenakker, 2018Ziegler, N., & Opdenakker, M. C. (2018). The development of academic procrastination in first-year secondary education students: The link with metacognitive self-regulation, self-efficacy, and effort regulation.Learning and Individual Differences,64, 71-82. https://doi.org/10.1016/j.lindif.2018.04.009
https://doi.org/10.1016/j.lindif.2018.04...
). Therefore, these items translate into low levels of self-regulation in managing time for tasks that require reading comprehension.

Validity evidence study based on the Internal Structure

Method

Participants

The sample consisted of 522 students enrolled in the four years of Middle School, with a minimum age of 10 and a maximum of 18 years (M = 12.72;SD = 1.26). Among these students, 280 (53.64%) were female, and 90 students (17.24%) had repeated years. The students attended three schools in the state of São Paulo.

Instruments1 1 The scales investigated here comprise the Multidimensional Battery of Self-Regulation for Reading Comprehension (Ferraz, 2022), which covers the assessment of six dimensions of self-regulation, namely, motivation, method, time management, self-perceived behavior, the physical environment, and the social environment.

Reading Comprehension Strategies Scale (Escala Estratégias para Compreender a Leitura - EE-CL). This scale assesses the self-regulation of Middle School students through the repertoire of strategies used to promote reading comprehension. The EE-CL has 18 items. The students responded to the items through four response options: Never (Nunca), Seldom (Pouco), Often (Algumas Vezes), and Always (Sempre).

Reading Time Organization Scale (Escala Organização do Tempo para Leitura- EOT-L). The 13 items of the EOT-L assess self-regulation through students’ perceptions of their time management for activities that require reading. The scale’s answer key is a 4-point Likert-type scale, with options ranging from Not True (Nada Verdadeiro) to Completely True (Totalmente Verdadeiro).

Data collection procedure

After obtaining authorization from the schools, students who brought the consent form signed by one of their parents/guardians and signed the consent terms were considered eligible to participate in the study. One student was over 18 years old. So, this student signed the consent form for people of legal age. The scales were applied in pencil and paper format, collectively, during class time.

Data analysis procedure

The data were analyzed using the Factor (Lorenzo-Seva & Ferrando, 2020Lorenzo-Seva, U., & Ferrando, P. J. (2020). Factor Analysis. Recuperado de https://psico.fcep.urv.cat/utilitats/factor/.
https://psico.fcep.urv.cat/utilitats/fac...
) and MPlus (version 7.11; Muthen & Muthen, 2012Muthén, L. K., & Muthén, B. O. (2012). Mplus User’s Guide: Statistical Analysis with Latent Variables (7th ed.). Muthén & Muthén.).

Factorial retention of EE-L and EOT-L. We used the Parallel Analysis, having as criterion values of mean-variance of real data greater than the mean of variance of the random data. For the EE-CL, the hypothesis was that a unifactorial structure. Therefore, we also analyzed the unidimensionality indicators: Unidimensional Congruence (UniCo) > .95, Explained Common Variance (ECV) > .85, and the Mean of Item Residual Absolute Loadings (MIREAL) < .30 (Damásio & Dutra, 2017Damásio, B. F. & Dutra, D. F. (2017). Análise fatorial exploratória: um tutorial com o software Factor. Em B. F. Damásio & J. C. Borsa (Orgs.). Manual de desenvolvimento de instrumentos psicológicos, (pp. 241-266). Vetor Editora.).

To analyze the internal structure of the EE-CL, we used the Confirmatory Factor Analysis (CFA). For EOT-L, we apply Exploratory Structural Equation Modeling (ESEM). We used the Weighted Least Square Mean and Variance Adjusted (WSLMV) estimation method in both analyses. In CFA, we apply the Geomin oblique rotation method (Muthén & Muthén, 2012Muthén, L. K., & Muthén, B. O. (2012). Mplus User’s Guide: Statistical Analysis with Latent Variables (7th ed.). Muthén & Muthén.).

Interpretation of the models’ plausibility. The Root Mean Square Error of Approximation: RMSEA ≤ .90 values qualify as an acceptable fit; the Confirmatory Fit Index and Tucker-Lewis Index: CFI and TLI ≥ .80 values are qualified as a moderate fit. In ESEM, the ratio of χ 2 /dftest < .05 was also considered (Marôco, 2014Marôco, J. (2014).Análise de equações estruturais: Fundamentos teóricos, software & aplicações. ReportNumber.). Factor loadings ≥ .40 was the cutoff point established for the maintenance of the item in the models tested.

Internal consistency was assessed using the Composite Reliability (cr) index, calculated using the online calculator available at http://www.thestatisticalmind.com/calculators/comprel/composite_reliability.htm. The interpretation of these indices was based on values ≥ .70 (Peterson & Kim, 2013Peterson, R. A., & Kim, Y. (2013). On the relationship between coefficient alpha and composite reliability. Journal of Applied Psychology, 98(1), 194-198.).

Results and Discussion

The results of the parallel analysis for the Reading Comprehension Strategies Scale (EE-CL) indicated the retention of one factor, with the mean-variance of the real data (37.91%) being more significant than the mean of the explained variance of the random data (10.57%). The MIREAL value = .22 also indicated a unifactorial structure.

Two models were tested for the EE-CL. The first model yielded χ 2 /df = 4.11; RMSEA = .08 (90% CI 0.071 - 0.084); CFI = .89; TLI = .87. The item “I read the title of the text” was excluded as it presented a factor loading of less than .40. Table 7 shows that in the second model of the EE-CL, with 17 items, theχ 2 /dfwas adequate, and the fit indices were qualified as good, which denotes the validity evidence based on the scale’s internal structure. This result was corroborated by thecrindex, which indicated that the scale has reasonable reliability estimates.

Table 7
Reading Comprehension Strategies Scale (EE-CL): Internal Structure

The 17 items of the EE-CL encompass strategies to facilitate reading comprehension through procedures that involve cognitive and metacognitive aspects centered on repetition, summarization, and association of information with the text itself or with other reading materials (Gilakjani & Sabouri, 2016Gilakjani, A. P., & Sabouri, N. B. (2016). How can students improve their reading comprehension skill.Journal of Studies in Education, 6(2), 229-240. http://dx.doi.org/10.5296/jse.v6i2.9201
http://dx.doi.org/10.5296/jse.v6i2.9201...
; Pinto et al., 2016). These strategies are identified in students recognized as being good readers (Pinto et al., 2016). The EE-CL scores indicate the repertoire of strategies used by students to carry out reading activities. Therefore, the scale scores indicate the level of self-regulation based on mental images and the self-instruction underlying these procedures (Wigfield, Klauda, & Cambria, 2015Wigfield, A., Klauda, S. L., & Cambria, J. (2015). Influences on the development of academic self-regulatory processes. Em M. C. White, & M. K.DiBenedetto (Orgs.). Self-regulation and the Common Core: Application to Ela Standards, (pp. 33-48). Routledge.; Zimmerman & Risemberg, 1997Zimmerman, B. J., & Risemberg, R. (1997). Self-Regulatory Dimensions of Academic Learning and Motivation. In G. D. Phye (Ed). Handbook of Academic Learning, 105-125. Academic Press. https://doi.org/10.1016/b978-012554255-5/50005-3
https://doi.org/10.1016/b978-012554255-5...
). It is also considered that having a more extensive and diverse number of strategies present in EE-CL represents greater chances of presenting proficient reading comprehension (Denton et al., 2015Denton, C. A., Wolters, C. A., York, M. J., Swanson, E., Kulesz, P. A., & Francis, D. J. (2015). Adolescents’ use of reading comprehension strategies: Differences related to reading proficiency, grade level, and gender.Learning and Individual Differences,37, 81-95. https://doi.org/10.1016/j.lindif.2014.11.016
https://doi.org/10.1016/j.lindif.2014.11...
; Gilakjani & Sabouri, 2016Gilakjani, A. P., & Sabouri, N. B. (2016). How can students improve their reading comprehension skill.Journal of Studies in Education, 6(2), 229-240. http://dx.doi.org/10.5296/jse.v6i2.9201
http://dx.doi.org/10.5296/jse.v6i2.9201...
; Pinto et al., 2016).

For the Reading Time Organization Scale (EOT-L), the parallel analysis indicated a structure with two factors - mean values of variance of the real data of 33.16% and 15.51% higher than the mean of the explained variance random data, 20.45%, and 13.99%. Two models were analyzed to investigate the internal structure of the EOT-L. Three items that presented factor loadings below .40 (χ 2 /df = 2.57; RMSEA = .05 [90% CI 0.044 - 0.066]; CFI = .95; TLI = .93) were excluded from the first model, these being, “Before I start reading, I think about the time it will take to read the text” and “It is difficult to read again when I stop in the middle of reading,” which were grouped in F1 and “The time the teacher usually gives to read is enough for me to understand the text,” which loaded in F2.

The second model (10 items) proved plausible (see Table 8), with an adequateχ 2 /df ratio, RMSEA classified as good and CFI/TLI as very good. This result gives the EOT-L evidence of validity based on the internal structure. The items did not show cross-factor loadings above .40 between the factors. Item 10, designed to assess the absence of self-regulation in time organization, became part of F1, corresponding to procrastination. Both factors consisted of five items each, F1 being named the Procrastination factor (items 1, 2, 4, 7, and 10) and F2 Time Organization (items 3, 5, 6, 8, and 9). The composite reliability indices of the EOT-L factors were qualified as adequate, indicating that the structure tested has reliability estimates. The correlation between F1 and F2 was -.29 (p< .001).

Table 8
Reading Time Organization Scale (EOT-L): Internal Structure

As expected, the Procrastination factor (F1) contains aspects that allude to problems in self-regulation of time management linked to academic procrastination in the performance of reading activities. These items focus on postponing activities and emphasizing the difficulty of planning, being in line with studies that report the manifestation of these behaviors in procrastinating students (Zacks & Hen, 2018Zacks, S., & Hen, M. (2018). Academic interventions for academic procrastination: A review of the literature.Journal of Prevention & Intervention in the Community,46(2), 117-130. https://doi.org/10.1080/10852352.2016.1198154
https://doi.org/10.1080/10852352.2016.11...
; Ziegler & Opdenakker, 2018Ziegler, N., & Opdenakker, M. C. (2018). The development of academic procrastination in first-year secondary education students: The link with metacognitive self-regulation, self-efficacy, and effort regulation.Learning and Individual Differences,64, 71-82. https://doi.org/10.1016/j.lindif.2018.04.009
https://doi.org/10.1016/j.lindif.2018.04...
).

The items in the Time Organization Factor (F2) involve students’ beliefs about their ability to organize reading tasks in an environment outside the class, the use of instructional materials to manage commitments, metacognitive reasoning about times of the day that facilitate reading comprehension, and priority setting through the ranking of activities. These situations express self-regulation, emphasizing planning and time management to carry out activities that require reading comprehension (Schunk & Usher, 2013Schunk, D. H., & Usher, E. L. (2013). Barry J. Zimmerman’s theory of self-regulated learning. In H., Bembenutty, A., Kitsantas, & T. J., Cleary (Eds.). Applications of self-regulated learning across diverse disciplines: A tribute to Barry J. Zimmerman, (pp. 1-28). Information Age Publishing.; White & DiBenedetto, 2015White, M. C., & DiBenedetto, M. K. (2015). Self-regulation and the Common Core: Application to Ela Standards. Routledge.; Ziegler & Opdenakker, 2018Ziegler, N., & Opdenakker, M. C. (2018). The development of academic procrastination in first-year secondary education students: The link with metacognitive self-regulation, self-efficacy, and effort regulation.Learning and Individual Differences,64, 71-82. https://doi.org/10.1016/j.lindif.2018.04.009
https://doi.org/10.1016/j.lindif.2018.04...
).

This study found that the EE-CL and EOT-L have good initial psychometric properties for investigating self-regulation strategies and time management for activities requiring reading comprehension for Middle School students. Future studies with these scales will assess whether their structure remains plausible in samples from other Brazilian regions and private schools. This proposition is mainly directed to the EOT-L to evaluate the plausibility of the two-factor model in other samples, as we did not foresee this configuration when we built the scale.

It is expected that the EE-CL and EOT-L will contribute to the identification of aspects to be improved in the context of fundamental education, either through timely and specific interventions to reverse self-regulation problems or in the design of pedagogical practices to prevent reading comprehension difficulties as a result of lack of students’ skills to apply reading strategies and manage their time. Furthermore, these scales can also be applied throughout the pedagogical interventions to assess the aspects that need to be changed. This type of evaluation may help to optimize the effectiveness of interventions.

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    » https://doi.org/10.1016/b978-012554255-5/50005-3
  • 1
    The scales investigated here comprise the Multidimensional Battery of Self-Regulation for Reading Comprehension (Ferraz, 2022Ferraz, A. S. (2022). Autorregulação para a compreensão de leitura no ensino fundamental II: Proposta de avaliação a intervenção. (Doctoral Thesis in Psychology). Universidade São Francisco. chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://www.usf.edu.br/galeria/getImage/427/2810491657915438.pdf
    chrome-extension://efaidnbmnnnibpcajpcgl...
    ), which covers the assessment of six dimensions of self-regulation, namely, motivation, method, time management, self-perceived behavior, the physical environment, and the social environment.

Publication Dates

  • Publication in this collection
    20 Oct 2023
  • Date of issue
    2023

History

  • Received
    08 July 2021
  • Accepted
    10 Nov 2021
Instituto de Psicologia, Universidade de Brasília Instituto de Psicologia, Universidade de Brasília, 70910-900 - Brasília - DF - Brazil, Tel./Fax: (061) 274-6455 - Brasília - DF - Brazil
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