Development of Decoding Abilities in Bosnian-speaking Children: a Two-year Follow-up Study

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Abstract

Reading is one of the most important academic skills that children master in the early grades of elementary school. The simple view of reading postulates that it consists of decoding abilities and linguistic understanding. The present study aims to explore the development of decoding abilities in the Bosnian language in children from Grade 3 to Grade 5. We assessed the relationships between word reading and pseudoword reading as measures of decoding skills, and phonemic deletion task, rapid automatized naming (RAN) of letters, and RAN of objects as the predictors of decoding skills. The sample for this study comprised 36 children (16 girls, 20 boys). This study’s results showed a significant improvement in decoding skills from Grade 3 to Grade 5. The best predictor of word reading in Grade 5 was RAN of objects in Grade 3, followed by RAN of letters in Grade 3. On the other hand, the significant predictors of pseudoword reading in Grade 5 were RAN of objects and the phoneme deletion task in Grade 3. Understanding reading development from Grade 3 to Grade 5 is informative and can help create better reading instruction for all readers.

General Information

Keywords: reading development, elementary school students, Bosnian language

Journal rubric: Developmental Psychology

Article type: scientific article

DOI: https://doi.org/10.17759/pse.2022270508

Acknowledgements. The authors wish to thank all children who participated in this research.

Received: 20.06.2022

Accepted:

For citation: Memisevic H., Malec D., Dedic A. Development of Decoding Abilities in Bosnian-speaking Children: a Two-year Follow-up Study. Psikhologicheskaya nauka i obrazovanie = Psychological Science and Education, 2022. Vol. 27, no. 5, pp. 97–106. DOI: 10.17759/pse.2022270508.

Full text

Introduction

Learning to read proficiently is one of the most important educational goals in early elementary school grades. Reading performance is an essential prerequisite necessary for student school success [1; 15]. How reading develops is one of the major themes in educational psychology. According to the simple view of reading, it consists of two parts: decoding and linguistic comprehension [18]. Much research has been focused on whether these two skills are dissociable. Correlation studies have indicated that these two skills are separable and that there can be reading comprehension problems in children with adequate decoding skills [41]. Studies in the English language have shown that the correlation between decoding and reading comprehension is higher in the early grades of elementary school than in the later grades [19]. Also, decoding skills contribute more to reading comprehension at the early grade levels than listening comprehension [23]. However, the exact developmental trajectory of this relationship is still unknown. To better understand how reading develops, it is necessary to understand how beginning readers recognize words accurately and automatically [9]. It is also important to know what factors have effects on reading development. Numerous studies have examined the factors influencing children’s reading [38; 43]. The research focused primarily on cognitive-linguistic factors such as phonological awareness, rapid automatized naming, and working memory and psychological factors such as motivation. Many variables have been identified as having a significant impact on reading such as selective attention [29], orthographic ability [42], homework activities [11], motivation [37], metacognition [31], and many others. Additionally, studies have also found the effects of working memory and processing speed on reading, especially reading comprehension [22; 32; 44].

However, two of the most studied variables concerning reading are phonological awareness (PA) and rapid automatized naming (RAN). These two variables were found to be the most important pathways to reading success [34]. PA can be defined as an awareness of the phonological segments of the speech that are closely represented by an orthography [3]. It is important to note that PA is a complex ability consisting of several components. Høien, Lundberg [17] identified three basic components of PA: 1. phoneme factor, 2. syllable factor, and 3. rhyme factor. Out of these, a phoneme factor was most strongly related to reading outcomes. The relationship between PA, especially at the phoneme level, and word decoding abilities has been firmly established [6]. PA has unanimously been identified as one of the most important predictors of reading, regardless of orthography and whether it is alphabetic or logographic language [20; 28; 39]. In a study of several European alphabetic languages (Finninsh, Hungarian, Dutch, Portuguese, and French), authors found phonological awareness to be the main factor associated with reading performance [50].

Another predictor widely examined in relation to reading was rapid automatized naming (RAN). There were some controversies regarding what RAN tasks measure [7]. On the one hand, some authors consider RAN as a part of phonological processing and defined it as the efficiency of phonological code retrieval [46]. On the other hand, research has shown that RAN is a significant independent predictor of reading [14; 49] and is thus a separable construct from PA. The argumentation behind the claim that RAN is a separable construct from phonological processing stems from the following findings: 1. RAN makes a unique, independent contribution to reading; and 2. poor readers can have RAN deficits only, PA deficits only, and RAN and PA deficits [47]. RAN predicts future reading abilities across different ages and languages [26].

One question that needs further elaboration with reference to the role and effects of PA and RAN as predictors of reading during different periods in a person’s life and across skill levels. For example, are PA and RAN equally strongly related to reading proficiency from Grade 1 to Grade 8? In a study of Finnish, which is the language with a transparent orthography, the authors found only a minor link between early phonological skills and reading at Grade 2 [36]. Similarly, RAN seems to be a more important predictor in children with a higher level of reading performance [34]. Another important question is how PA and RAN, as the most significant predictors of reading, develop in relation to children’s age.

A longitudinal study design is the best way to answer these questions. However, most longitudinal studies have been conducted in English. The question is whether the research in English is relevant to languages with more transparent orthographies [9], that is, whether the skills needed for developing reading are universal across languages [40]. Another question is the size of the relationship of cognitive and linguistic factors such as PA and RAN to decoding skills in different orthographies. One additional problem in answering this question is that studies in different languages have used different measures as proxies for different reading constructs, which makes comparisons with the English language studies only indirectly [10].

Given the importance of PA and RAN on reading achievement, we wanted to examine further the relationship of these variables with decoding skills in the Bosnian language and how they develop over the period of two years. The Bosnian language has a transparent orthography, with each letter pronounced with the same sound regardless of its position in the word. The present study aims to answer how the relationship between PA, RAN, and decoding skills change from Grade 3 to Grade 5 in the Bosnian language. In addition, we wanted to examine how well PA and RAN in Grade 3 predict decoding skills in Grade 5. There is scant research regarding the growth trajectories of these variables among children learning different alphabetic orthographies [5]. Thus, we wanted to answer the following questions:

  1. Were there statistically significant improvements in PA, RAN tasks, and decoding skills from Grade 3 to Grade 5?
  2. How do the relationships between decoding skills, phoneme deletion tasks, and rapid automatized naming change from Grade 3 to Grade 5?
  3. What are the best predictors of decoding skills in Grade 5 assessed in Grade 3?

Method

Participants

The sample for this study consisted of 36 children (16 girls, 20 boys) who were assessed on reading variables in Grade 3 and Grade 5. The mean age of children in Grade 5 was 10.3 years (SD — 0.5 years). These children represented a subsample from a study on predictors of reading speed and comprehension in the Bosnian language [27]. According to the children’s school records, children did not have developmental disabilities or any other neurological or health condition that might influence their learning. None of the children received special educational support at school.

Procedure

We employed a longitudinal study design to assess these reading variables in the same children in Grade 3 and Grade 5. All children in this study attended the same school in Sarajevo. Teachers of the children provided consent forms to the parents. In Grade 3, there were 38 children assessed in this school. In Grade 5, we received 36 consent forms, and these children were tested. Children were tested individually in the morning hours in classrooms available at school. Individual testing lasted about 40 minutes. Testing at Grade 3 took place in November and December 2019 and at Grade 5 — in November and December 2021. The approval for this study was obtained from the Ministry of Education in Canton Sarajevo and the Ethical Board of the Faculty of Educational Sciences at the University of Sarajevo.

Measures

The same tests were used previously in a study of reading predictors in the third-grade children [27]. More specifically, we used the following tests:

  1. Word reading. In this task, children were asked to read aloud a list of real words increasing in length. The result is the number of words read correctly in one minute. The test-retest reliability for this kind of task is reported to be high, above .90 [13].
  2. Pseudoword reading. As in the previous task, children were asked to read aloud a list of pseudowords increasing in length. The result is the number of words read correctly in one minute. The test-retest reliability for this kind of task was reported to be .84 [8]. These first two tasks served as a measure of decoding skills as they have shown evidence of consistency and validity in predicting reading ability [8].
  3. Phoneme deletion task. In this task, children were shown a list of 16 objects and were asked to name the objects without the first sound. Three demonstration items were given prior to the task. The time to name all the objects was used as a result. Faster time indicates better performance. This test measures phonological awareness skills.
  4. Rapid automatized naming of Letters (RAN: Letters). This task comprises of five lowercase letters (a, d, o, p, s) that are randomly repeated 10 times in an array of five rows for a total of 50 stimulus items [48]. The psychometric properties of RAN tasks are excellent. According to the RAN manual, interscorer reliability for this task was .98, and test-retest reliability was .90 [48]. Time to name all the letters was recorded, and faster time indicates better performance.
  5. Rapid automatized naming of Objects (RAN: Objects). This task comprises of five stimulus items (hand, book, dog, star, and chair) that are randomly repeated 10 times in an array of five rows for a total of 50 stimulus items [48]. Again, the psychometric properties of this task are very good, with test-retest reliability of .84, and interscorer reliability .99 [48]. The time to name all objects was recorded, and faster time indicates better performance.

Statistical analysis

We first presented descriptive data for all the tests in Grade 3 and Grade 5, along with paired t-test measures and effect sizes. We then calculated correlations between the variables for both Grade 3 and Grade 5. In addition, we converted all the variables into ranks and calculated Spearman’s correlation coefficient. As a dependent variable in the prediction models, we used word reading and pseudoword reading in Grade 5, and as predictors we used phoneme deletion task, RAN: Letters, and RAN: Objects in Grade 3. The statistical analysis was conducted using the statistical package IBM SPSS v.26. [21]. An alpha level of .05 was used for all statistical tests.

Results

Table 1 presents mean scores, paired t-tests and effect sizes for all the variables we used in this study.

As can be seen from Table 1, there has been a considerable, statistically significant improvement in all measures from Grade 3 to Grade 5.

Next, we next present correlations between all variables (Table 2).

As shown in Table 2, most of the correlations between reading variables were statistically significant. However, an unexpected finding was the lack of correlation between RAN_objects in Grade 5 and RAN_letters in Grade 3 and Grade 5. To better elucidate the stability of the relationship between the variables, we converted them into ranks and calculated Spearman’s rank correlation coefficient to assess the temporal stability of the measures. These data are shown in Table 3.

As can be seen from Table 3, all reading variables have shown temporal stability over time with word reading being the most stable reading variable.

Lastly, we wanted to evaluate the models predicting word list reading and pseudoword list reading in Grade 5 from phoneme deletion task, RAN_letters, and RAN_objects in Grade 3. The stepwise multiple regression model (backward) for word list reading is presented in Table 4, and the model for pseudoword reading is presented in Table 5. We did not present data for statistically non-significant predictors.

As can be seen from Table 4, statistically significant predictors of reading words at Grade 5 were the RAN_objects and RAN_letters tasks, and the excluded variable was the Phoneme deletion task.

Statistically significant predictors of pseudoword reading at Grade 5 were RAN_objects and phoneme deletion tasks. RAN_letters was not a statistically significant predictor of pseudoword reading.

Table 1

Mean scores, standard deviations, paired t-test,
and Cohen’s effect size for all reading variables

Variable

Mean (SD) Grade 3

Mean (SD) Grade 5

Paired t-testc

Cohen’s effect size

Word list readinga

49.6 (13.8)

62.9 (13.9)

12.0

0.96

Pseudo word readinga

31.8 (8.1)

39.7 (7.3)

9.8

1.02

Phoneme deletionb

68.4 (20.3)

56.2 (17.7)

4.1

0.64

RAN: Lettersb

27.7 (5.9)

23.1 (3.4)

5.5

0.95

RAN: Objectsb

49.6 (8.3)

44.4 (8.3)

4.9

0.63

Note: a number of words read in one minute; b time to complete the task in seconds; c all p values less than .001.

Table 2

Correlations between all reading variables

Grades

Variables

Grade 3

Grade 5

1

2

3

4

5

1

2

3

4

5

1. Word list reading

1.00

0.87

-0.54

-0.54

-0.68

0.89

0.79

-0.46

-0.40

-0.60

2. Pseudoword reading

1.00

-0.55

-0.59

-0.57

0.75

0.81

-0.47

-0.51

-0.53

Grade 3

3. Phoneme deletion task

1.00

0.44

0.36

-0.38

-0.49

0.58

0.33

0.42

4. RAN letters

1.00

0.44

-0.54

-0.45

0.30

0.54

0.31

5. RAN objects

1.00

-0.69

-0.56

0.39

0.38

0.71

1. Word list reading

1.00

0.79

-0.37

-0.50

0.54

2. Pseudoword reading

1.00

-0.56

-0-56

-0.58

Grade 5

3. Phoneme deletion task

1.00

0.37

0.47

4. RAN letters

1.00

0.29

5. RAN objects

1.00

Note. Bold values are not statistically significant. All other p values are statistically significant at p< .05 level except for the relationships: 1. Phoneme deletion at Grade 5 and RAN_Letters at Grade 3; 2. RAN_Objects at Grade 5 and RAN_Letters at Grade 3; and 3. RAN_Objects at Grade 5 and RAN_Letters at Grade 5.

Table 3

Spearman's rank correlation between the reading variables at two time-points

Reading Variables

Spearman's Correlation

Word reading Grade 3

Word reading Grade 5

.90

Pseudoword reading Grade 3

Pseudoword reading Grade 5

.76

Phoneme deletion Grade 3

Phoneme deletion Grade 5

.67

RAN_letters Grade 3

RAN_letters Grade 5

.65

RAN_objects Grade 3

RAN_objects Grade 5

.71

Note. all pꞌs < .01.

Table 4

A stepwise multiple regression predicting word list reading at Grade 5 from Phoneme
deletion task, RAN_letters and RAN_objects at Grade 3

Predictors at Grade 3

B

SEB

β

t

p

Intercept

128.67

10.57

-

12.17

<.001

RAN_objects

-.95

.22

-.56

-4.3

.001

RAN_letters

-.67

.31

-.29

-2.2

.04

Note. R2 = .55 (unadjusted), R2 = .52 (adjusted).

Table 5

A stepwise multiple regression predicting pseudoword list reading at Grade 5 from Phoneme
deletion task, RAN_letters and RAN_objects at Grade 3

Predictors at Grade 3

B

SEB

β

t

p

Intercept

67.05

6.08

-

11.02

<.001

RAN_objects

-.39

.13

-.44

-3.1

.001

Phoneme_deletion

-.12

.05

-.33

-2.3

.03

Note. R2 = .42 (unadjusted), R2 = .37 (adjusted).

Discussion

The present paper aimed to examine the developmental trends of decoding abilities in the Bosnian language from Grade 3, a phase of alphabetic readers, to Grade 5, a phase of intermediate readers. This study showed a large improvement in decoding skills from Grade 3 to Grade 5, for both, word reading and pseudoword reading. We also found a large improvement in RAN tasks and in phoneme deletion task. These findings indicate significant improvements in decoding skills happen between 3rd and 5th Grades. In addition to these findings, we have also found great temporal stability in word reading from Grade 3 to Grade 5. Children who were good readers in Grade 3, were also good readers in Grade 5. In the same line, children who were poor readers in Grade 3 were also poor readers in Grade 5.

However, the question remains when this developmental trajectory in decoding abilities reaches its plateau. Previous studies in the English language have reported that the growth trajectory in oral reading fluency sharply increases from Grade 3 to Grade 5 and only a slight increase from Grade 5 to Grade 6 [35]. We have also found the same trend from Grade 3 to Grade 5 in the Bosnian language. However, the increase from Grade 5 to higher grades has yet to be examined in the Bosnian language. The findings of our study suggest that decoding skills in Grade 3 children can accurately tell us how these children will decode in Grade 5. This is very important information from the interventionist perspective so that struggling readers can be identified earlier and be provided with adequate educational support.

As for the predictors of word reading skills at Grade 5, we found that RAN of objects and letters were both significant predictors and explained 52% of the variance in the word reading scores. RAN tasks measure automaticity, a skill necessary for successful reading [30]. It appears that different RAN tasks have a different impact on reading. Our study has shown that RAN of objects had a stronger effect on reading than RAN of letters. This is in line with Meyer, Wood [30] study that showed RAN of colors and objects were better predictors of reading than RAN of numbers and letters. On the other hand, some studies showed a greater effect of alphanumeric RAN tasks than non-alphanumeric RAN task on future reading [26].

Phoneme deletion task and RAN of objects significantly affected pseudoword reading. These two predictors explained 37% of the variance in pseudoword reading task. Phoneme deletion belongs to complex phonological skills related to reading [4]. Although in this study it was not a significant predictor of word reading, other studies conducted in the Bosnian language have found phoneme deletion task to be the most important predictor of reading speed [27].

It is interesting to note a significant improvement in both word reading and pseudoword reading from Grade 3 to Grade 5. In this study, the growth of pseudoword reading was slightly larger than that of word reading. An earlier study by Caravolas [5] reported reverse findings for the Czech and Slovak languages, where the growth was larger for word than pseudoword reading efficiency. However, it is important to note that children in that study were younger (Grades 1 and 2) than the children in our study. Another finding in this study was the high correlation between word reading and pseudoword reading at both times. In Grade 3, the correlation was slightly higher between word reading and pseudoword (r = .87) reading than in Grade 5 (r = .79). This finding is similar to findings of van Setten, Hakvoort [45], in which the authors found a strong association between reading fluency in Grade 3 and reading in Grade 6.

This study pointed to the large improvements in reading variables in children aged 8 to 10 years, and it also showed the importance of PA and RAN as predictors of reading. As demonstrated by previous studies, it seems that models of early literacy development are very similar across different languages and orthographies [2; 12].

It is worth mentioning that the reading predictors we used in this study are susceptible to training. This is especially relevant as the research suggests that decoding skills should be one of the main targets in intervening with poor readers [25]. RAN can be significantly enhanced with training [49]. Similarly, computerized remedial training has shown great potential in improving phonological awareness [33]. Children at risk of phonological difficulties can greatly benefit from teacher-delivered school-based interventions [16]. Timely intervention in these domains can have a positive impact on reading.

This study is not without limitations. The first limitation is the small sample size. We assessed reading variables for only 36 students from the original sample at Grade 5, which significantly limits the generalizability of our results. Due to the small sample, the obtained results may be sample-specific. Thus the study needs to be replicated in different samples with a larger number of participants. We also did not consider some cognitive variables, such as working memory, that impact reading skills [24]. The inclusion of variables such as working memory, processing speed, and vocabulary might have created an even better model of decoding skills. Another limitation of this study is the situation with the COVID-19 pandemic, as the children were attending some portions of their education online. It is hard to tell whether this form of schooling influenced children’s reading development.

Conclusion

Word reading and pseudoword reading improved significantly from Grade 3 to Grade 5. On the one hand, RAN of objects and letters were significant predictors of word reading skills and explained 52% of the variance in word reading skills. On the other hand, RAN of objects and phoneme deletion task were significant predictors of pseudoword reading and explained 37% of the variance in pseudoword reading skills. Given that decoding abilities seem to be stable across time, it would be beneficial to assess reading abilities and reading predictors as early as possible in order to identify children at risk of reading difficulties. Understanding reading development from Grade 3 to Grade 5 can help create timely programs of reading instruction for all readers.

References

  1. Artelt C., Schiefele U., Schneider W. Predictors of reading literacy. European Journal of Psychology of Education, 2001. Vol. 16, no. 3, pp. 363—383. DOI: 10.1007/BF03173188
  2. Bar-Kochva I., Nevo E. The relations of early phonological awareness, rapid-naming and speed of processing with the development of spelling and reading: a longitudinal examination. Journal of Research in Reading, 2019. Vol. 42, no. 1, pp. 97—122. DOI: 10.1111/1467-9817.12242
  3. Blachman B.A., Phonological awareness, in Handbook of reading research,vol. III. 2000, Lawrence Erlbaum Associates Publishers: Mahwah, NJ, US. p. 483—502.
  4. Bryant P.E., MacLean M., Bradley L.L., Crossland J. Rhyme and alliteration, phoneme detection, and learning to read. Developmental Psychology, 1990. Vol. 26, no. 3, pp. 429—438. DOI: 10.1037/0012-1649.26.3.429
  5. Caravolas M. Growth of Word and Pseudoword Reading Efficiency in Alphabetic Orthographies: Impact of Consistency. Journal of Learning Disabilities, 2017. Vol. 51, no. 5, pp. 422—433. DOI: 10.1177/0022219417718197
  6. de Jong P.F., van der Leij A. Effects of Phonological Abilities and Linguistic Comprehension on the Development of Reading. Scientific Studies of Reading, 2002. Vol. 6, no. 1, pp. 51—77. DOI: 10.1207/S1532799XSSR0601_03
  7. Denckla M.B., Cutting L.E. History and significance of rapid automatized naming. Annals of Dyslexia, 1999. Vol. 49, no. 1, pp. 29. DOI: 10.1007/s11881-999-0018-9
  8. Doty S.J., Hixson M.D., Decker D.M., Reynolds J.L., Drevon D.D. Reliability and Validity of Advanced Phonics Measures. Journal of Psychoeducational Assessment, 2015. Vol. 33, no. 6, pp. 503—521. DOI: 10.1177/0734282914567870
  9. Ehri L.C. Learning to Read Words: Theory, Findings, and Issues. Scientific Studies of Reading, 2005. Vol. 9, no. 2, pp. 167—188. DOI: 10.1207/s1532799xssr0902_4
  10. Florit E., Cain K. The Simple View of Reading: Is It Valid for Different Types of Alphabetic Orthographies? Educational Psychology Review, 2011. Vol. 23, no. 4, pp. 553—576. DOI: 10.1007/s10648-011-9175-6
  11. Flowers T.A., Flowers L.A. Factors Affecting Urban African American High School Students’ Achievement in Reading. Urban Education, 2008. Vol. 43, no. 2, pp. 154—171. DOI: 10.1177/0042085907312351
  12. Furnes B., Samuelsson S. Phonological awareness and rapid automatized naming predicting early development in reading and spelling: Results from a cross-linguistic longitudinal study. Learning and Individual Differences, 2011. Vol. 21, no. 1, pp. 85—95. DOI: 10.1016/j.lindif.2010.10.005
  13. Georgiou G.K., Papadopoulos T.C., Fella A., Parrila R. Rapid naming speed components and reading development in a consistent orthography. Journal of Experimental Child Psychology, 2012. Vol. 112, no. 1, pp. 1—17. DOI: 10.1016/j.jecp.2011.11.006
  14. Georgiou G.K., Parrila R., Papadopoulos T.C. The anatomy of the RAN-reading relationship. Reading and Writing, 2016. Vol. 29, no. 9, pp. 1793—1815. DOI: 10.1007/s11145-016-9653-9
  15. Glover T.A. A Data-Driven Coaching Model Used to Promote Students’ Response to Early Reading Intervention. Theory Into Practice, 2017. Vol. 56, no. 1, pp. 13—20. DOI: 10.1080/00405841.2016.1260401
  16. Hodgins H., Harrison G.L. Improving phonological awareness with Talking Tables in at-risk kindergarten readers. Research in Developmental Disabilities, 2021. Vol. 115, pp. 103996. DOI: 10.1016/j.ridd.2021.103996.
  17. Høien T., Lundberg I., Stanovich K.E., Bjaalid I.-K. Components of phonological awareness. Reading and Writing, 1995. Vol. 7, no. 2, pp. 171—188. DOI: 10.1007/BF01027184
  18. Hoover W.A., Gough P.B. The simple view of reading. Reading and Writing, 1990. Vol. 2, no. 2, pp. 127—160. DOI: 10.1007/BF00401799
  19. Hoover W.A., Tunmer W.E., The components of reading, in Reading acquisition processes, G.B. Thompson, W.E. Tunmer, and T. Nicholson, Editors. 1993, Adelaide, Australia: Multilingual Matters.: Adelaide, Australia: Multilingual Matters. p. 1—19.
  20. Hulme C., Zhou L., Tong X., Lervåg A., Burgoyne K. Learning to read in Chinese: Evidence for reciprocal relationships between word reading and oral language skills. Developmental Science, 2019. Vol. 22, no. 1, pp. e12745. DOI: 10.1111/desc.12745
  21. IBM, IBM SPSS Statistics for Windows, Version 27.0. 2020, Armonk, NY: IBM corp: Armonk, NY.
  22. Johann V., Könen T., Karbach J. The unique contribution of working memory, inhibition, cognitive flexibility, and intelligence to reading comprehension and reading speed. Child Neuropsychology, 2020. Vol. 26, no. 3, pp. 324—344. DOI: 10.1080/09297049.2019.1649381
  23. Joshi R.M., Ji X.R., Breznitz Z., Amiel M., Yulia A. Validation of the Simple View of Reading in Hebrew — A Semitic Language. Scientific Studies of Reading, 2015. Vol. 19, no. 3, pp. 243—252. DOI: 10.1080/10888438.2015.1010117
  24. Masoura E., Gogou A., Gathercole S.E. Working memory profiles of children with reading difficulties who are learning to read in Greek. Dyslexia, 2021. Vol. 27, no. 3, pp. 312—324. DOI: 10.1002/dys.1671
  25. McCandliss B., Beck I.L., Sandak R., Perfetti C. Focusing Attention on Decoding for Children With Poor Reading Skills: Design and Preliminary Tests of the Word Building Intervention. Scientific Studies of Reading, 2003. Vol. 7, no. 1, pp. 75—104. DOI: 10.1207/S1532799XSSR0701_05
  26. McWeeny S., Choi S., Choe J., LaTourrette A., Roberts M.Y., Norton E.S. Rapid Automatized Naming (RAN) as a Kindergarten Predictor of Future Reading in English: A Systematic Review and Meta-analysis. Reading Research Quarterly, 2022. Vol. n/a, no. n/a DOI: https://doi.org/10.1002/rrq.467
  27. Memisevic H., Dedic A., Biscevic I., Hadzic S., Pasalic A., Malec D. Identifying predictors of reading speed and reading comprehension in Bosnian. Applied Neuropsychology: Child, 2020, Vol.11, no. 3, pp. 1—10. DOI: 10.1080/21622965.2020.1815023
  28. Memisevic H., Dedic A., Malec D. Differentiating between Good Readers and Poor Readers: The Role of Linguistic and Cognitive Factors. European Journal of Education and Pedagogy, 2022. Vol. 3, no. 1, pp. 31—36.
  29. Memisevic H., Malec D., Biscevic I. Predictors of reading fluency in second and third grade students: Results from Bosnia and Herzegovina. Studia Psychologica, 2019. Vol. 61, no. 3, pp. 175—188. DOI: 10.21909/sp.2019.03.781
  30. Meyer M.S., Wood F.B., Hart L.A., Felton R.H. Selective Predictive Value of Rapid Automatized Naming in Poor Readers. Journal of Learning Disabilities, 1998. Vol. 31, no. 2, pp. 106—117. DOI: 10.1177/002221949803100201
  31. Michalsky T., Mevarech Z.R., Haibi L. Elementary School Children Reading Scientific Texts: Effects of Metacognitive Instruction. The Journal of Educational Research, 2009. Vol. 102, no. 5, pp. 363—376. DOI: 10.3200/JOER.102.5.363-376
  32. Nouwens S., Groen M.A., Verhoeven L. How working memory relates to children’s reading comprehension: the importance of domain-specificity in storage and processing. Reading and writing, 2017. Vol. 30, no. 1, pp. 105—120. DOI: 10.1007/s11145-016-9665-5
  33. Olson R.K., Wise B., Ring J., Johnson M. Computer-Based Remedial Training in Phoneme Awareness and Phonological Decoding: Effects on the Posttraining Development of Word Recognition. Scientific Studies of Reading, 1997. Vol. 1, no. 3, pp. 235—253. DOI: 10.1207/s1532799xssr0103_4
  34. Pae H.K., Sevcik R.A., Morris R.D. Cross-language correlates in phonological awareness and naming speed: evidence from deep and shallow orthographies. Journal of Research in Reading, 2010. Vol. 33, no. 4, pp. 374—391. DOI: 10.1111/j.1467-9817.2009.01417.x
  35. Patarapichayatham C., Nese J.F., Sáez L., The Plateau of Oral Reading Fluency Growth: An Initial Recommendation When to Stop Assessing. 2013, University of Oregon. National Center on Assessment and Accountability for Special Education.
  36. Puolakanaho A., Ahonen T., Aro M., Eklund K., Leppänen P.H.T., Poikkeus A.-M., Tolvanen A., Torppa M., Lyytinen H. Developmental Links of Very Early Phonological and Language Skills to Second Grade Reading Outcomes: Strong to Accuracy but Only Minor to Fluency. Journal of Learning Disabilities, 2008. Vol. 41, no. 4, pp. 353—370. DOI: 10.1177/0022219407311747
  37. Retelsdorf J., Köller O., Möller J. On the effects of motivation on reading performance growth in secondary school. Learning and Instruction, 2011. Vol. 21, no. 4, pp. 550—559. DOI: 10.1016/j.learninstruc.2010.11.001
  38. Rosselli M., Matute E., Ardila A. [Neuropsychological predictors of reading ability in Spanish]. Revista de neurologia, 2006. Vol. 42, no. 4, pp. 202—210.
  39. Saiegh-Haddad E., Taha H. The Role of Morphological and Phonological Awareness in the Early Development of Word Spelling and Reading in Typically Developing and Disabled Arabic Readers. Dyslexia, 2017. Vol. 23, no. 4, pp. 345—371. DOI: 10.1002/dys.1572
  40. Snowling M.J., Hulme C. Annual Research Review: Reading disorders revisited — the critical importance of oral language. Journal of Child Psychology and Psychiatry, 2021. Vol. 62, no. 5, pp. 635—653. DOI: 10.1111/jcpp.13324
  41. Spencer M., Wagner R.K. The Comprehension Problems of Children With Poor Reading Comprehension Despite Adequate Decoding: A Meta-Analysis. Review of Educational Research, 2018. Vol. 88, no. 3, pp. 366—400. DOI: 10.3102/0034654317749187
  42. Thompkins A.C., Binder K.S. A comparison of the factors affecting reading performance of functionally illiterate adults and children matched by reading level. Reading Research Quarterly, 2003. Vol. 38, no. 2, pp. 236—258. DOI: 10.1598/RRQ.38.2.4
  43. Tibi S., Kirby J.R. Investigating Phonological Awareness and Naming Speed as Predictors of Reading in Arabic. Scientific Studies of Reading, 2018. Vol. 22, no. 1, pp. 70—84. DOI: 10.1080/10888438.2017.1340948
  44. Tiu R.D., Thompson L.A., Lewis B.A. The Role of IQ in a Component Model of Reading. Journal of Learning Disabilities, 2003. Vol. 36, no. 5, pp. 424—436. DOI: 10.1177/00222194030360050401
  45. van Setten E.R.H., Hakvoort B.E., van der Leij A., Maurits N.M., Maassen B.A.M. Predictors for grade 6 reading in children at familial risk of dyslexia. Annals of Dyslexia, 2018. Vol. 68, no. 3, pp. 181—202. DOI: 10.1007/s11881-018-0162-1
  46. Wagner R.K., Torgesen J.K., Laughon P., Simmons K., Rashotte C.A. Development of young readers’ phonological processing abilities. Journal of educational psychology, 1993. Vol. 85, no. 1, pp. 83—103.
  47. Wolf M., A provisional, integrative account of phonological and naming-speed deficits in dyslexia: Implications for diagnosis and intervention, in Foundations of reading acquisition and dyslexia: Implications for early intervention, B.A. Blachman, Editor. 1997, Lawrence Erlbaum Associates: Mahwah, NJ. p. 67—92.
  48. Wolf M., Denckla M.B., RAN/RAS: Rapid automatized naming and rapid alternating stimulus tests. 2005: Pro-ed Austin, TX.
  49. Wolff U. RAN as a predictor of reading skills, and vice versa: results from a randomised reading intervention. Annals of Dyslexia, 2014. Vol. 64, no. 2, pp. 151—165. DOI: 10.1007/s11881-014-0091-6
  50. Ziegler J.C., Bertrand D., Tóth D., Csépe V., Reis A., Faísca L., Saine N., Lyytinen H., Vaessen A., Blomert L. Orthographic Depth and Its Impact on Universal Predictors of Reading:A Cross-Language Investigation. Psychological Science, 2010. Vol. 21, no. 4, pp. 551—559. DOI: 10.1177/0956797610363406

Information About the Authors

Haris Memisevic, Associate Professor, Vice-dean of Science and Research, Faculty of Educational Sciences, University of Sarajevo, ORCID: https://orcid.org/0000-0001-7340-3618, e-mail: hmemisevic@gmail.com

Daniel Malec, Doctor of Psychology, Associate Professor, Dean of Faculty of Educational Sciences, University of Sarajevo, ORCID: https://orcid.org/0000-0003-4495-8213, e-mail: demalecci@gmail.com

Admira Dedic, Doctoral student in Educational Sciences, Faculty of Educational Sciences, University of Sarajevo, ORCID: https://orcid.org/0000-0002-4695-5887, e-mail: admira2601@gmail.com

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