Araştırma Makalesi
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Determination of the Psychometric Characteristics of the Learning Disability Early Symptoms Screening Scale

Yıl 2024, Cilt: 37 Sayı: 2, 534 - 554, 29.08.2024
https://doi.org/10.19171/uefad.1401110

Öz

This study aims to develop a Learning Disability Early Symptoms Screening Scale (LDESSS), and determine its psychometric characteristics in order to detect children who are at risk for a learning disability at an early age. Identifying learning disabilities in the pre-school period is significant for early intervention. The main reason to conduct this study is the absence of a scale that comprehensively evaluates early symptoms, in Türkiye. This research is a scale development study carried out in a retrospective descriptive screening design. Participants of the study were 1429 parents of students with learning disabilities. The scale demonstrated high reliability with a Cronbach's Alpha coefficient of .95 and a content validity index of .92. It was found to have a four-factor structure, explaining 48.99% of the variance. Confirmatory factor analysis yielded fit indices of CFI=.97, SRMR=.079, NNFI=.96, and RMSEA=.068, indicating a good fit of the model to the data. This study establishes that LDESSS consists of 52 items and four subfactors, which are Language Development and Communication, Cognitive Skills, Psychomotor Development Skills, and Social-Emotional Skills. The findings were analyzed and discussed in alignment with the established criteria in the literature. The results of the study demonstrate that LDESSS is a valid and reliable tool for examining the early and developmental indicators of learning disabilities.

Kaynakça

  • Aksu Meriçli, E., & Turan, F. (2014). A comparison between school and home rating scales and reliability-validity of the scales-the scales for diagnosing attention-deficit/hyperactivity disorder. Archives of Neuropsychiatry, 51, 195-204. https://doi.org/10.4274/npa.y6548
  • Alfonso, V. C., & Flanagan, D. P. (2018). Essentials of specific learning disability identification. John Wiley & Sons.
  • American Psychological Association. (2019). Disabled. Erişim tarihi 22 Ocak 2019, https://www.apa.org/monitor/sep03/disabled
  • Amerikan Psikiyatri Birliği. (2013). DSM-5 Tanı ölçütleri başvuru el kitabı (5. b.). (Çev: E. Köroğlu) Hekimler Yayın Birliği.
  • Blais, M. A., & Baer, L. (2010). Understanding rating scales and assessment instruments. In L. Baer & M. A. Blais (Eds.), Handbook of clinical rating scales and assessment in psychiatry and mental health (pp. 1-6). Humana Press.
  • Barth, K. (2006). Lernschwächen früh erkennen im Vorschulund im Grundschulalter (Recognizing learning difficulties early in preschool and elementary school age). Reinhardt.
  • Bender, W. N. (2008). Differentiating instruction for students with learning disabilities: Best teaching practices for general and special educators. Corwin Press.
  • Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238–246. https://doi.org/10.1037/0033-2909.107.2.238
  • Brown, T. (2006). Confirmatory factor analysis for applied research. The Guilford Press.
  • Büyüköztürk, Ş. (2016). Sosyal bilimler için veri analizi el kitabı. Pegem Akademi.
  • Büyüköztürk, Ş., Kılıç Çakmak, E., Akgün, Ö. E., Şirin, K., & Demirel, F. (2013). Bilimsel araştırma yöntemleri. Pegem Akademi.
  • Catts, H. W. (1997). The early identification of language-based reading disabilities. Language, Speech, and Hearing Services in Schools, 28(1), 86-89. Doi: 10.1044/0161-1461.2801.86
  • Costello, A. B., & Osborne, J. (2005). Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Practical Assessment, Research, and Evaluation, 10(1), 1-9. https://doi.org/10.7275/jyj1-4868
  • Çokluk, Ö., Şekerçicoğlu, G., & Büyüköztürk, Ş. (2010). Sosyal bilimler için çok değişkenli istatistik spss ve lisrel uygulamaları. Pegem Akademi.
  • DeVellis, R. F. (2016). Scale development: Theory and applications (Vol. 26). Sage publications.
  • Driscoll, K. (2020). When learning disabilities mask ADHD. A. Schonwald (Ed.), ADHD in adolescents (pp. 101-109). Springer, Cham. https://doi.org/10.1007/978-3-030-62393-7_7.
  • Disleksi ve Öğrenme Güçlüğü Derneği. (2015). Rehabilitasyon merkezlerinin öğrenme güçlüğü bireylere katkısı, velilerin beklentileri ve bu kuruluşların verimlilik analizleri araştırması. Disleksi ve Öğrenme Güçlüğü Derneği Yayını.
  • Ellis, P. D. (2010). The essential guide to effect sizes. Cambridge University Press.
  • Fawcett, A. J., & Nicolson, R. I. (1992). Automatisation deficits in balance for dyslexic children. Perceptual and Motor Skills, 75(2), 507-529. https://doi.org/10.2466/pms.1992.75.2.507
  • Fawcett, A., & Nicolson, R. (1995). The dyslexia early screening test. Irish Journal of Psychology, 16(3), 248-259. https://doi.org/10.1080/03033910.1995.10558060
  • Field, A. (2013). Discovering statistics using IBM SPSS statistics. Sage.
  • Fletcher, J. M., Lyon, G. R., Fuchs, L. S., & Barnes, M. A. (2018). Learning disabilities: From identification to intervention. Guilford Publications.
  • Gaddes, W. H. (2013). Learning disabilities and brain function: A neuropsychological approach. Springer Science & Business Media.
  • George, D., & Mallery, M. (2003). Using SPSS for Windows step by step: A simple guide and reference (4th ed.). Pearson Education.
  • Gillis, M., West, T., & Coleman, M. R. (2010). Early Learning Observation & Rating Scale: Teacher’s guide. National Center for Learning Disabilities.
  • Gliem, J. A., & Gliem, R. R. (2003). Calculating, interpreting, and reporting Cronbach’s alpha reliability coefficient for Likert-type scales. Midwest Research-to-Practice Conference in Adult, Continuing, and Community Education.
  • Görgün, B., & Melekoğlu, M. A. (2019). Türkiye’de özel öğrenme güçlüğü alanında yapılan çalışmaların incelenmesi. Sakarya University Journal of Education, 9(1), 83-106. https://doi.org/10.19126/süje.456198
  • Hammill, D., & Bryant, B. (1998). Learning disabilities diagnostic inventory (LDDI Kit). PRO-ED, Inc.
  • Heale, R., & Twycross, A. (2015). Validity and reliability in quantitative studies. Evidence-based Nursing, 18(3), 66-67. http://dx.doi.org/10.1136/eb-2015-102129
  • Hulme, C., & Snowling, M. (1992). Phonological deficits in dyslexia: A “sound” reappraisal of the verbal deficit hypothesis? In N. N. Singh, & I. L. Beale (Eds.), Learning disabilities: Nature, theory, and treatment (pp. 270-301). Springer.
  • Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55. https://doi.org/10.1080/10705519909540118
  • Jöreskog, K. G., & Sörbom, D. (1998). LISREL 8: Structural equation modeling with the SIMPLIS command language. Scientific Software International.
  • Kirby, A., Sugden, D., Beveridge, S., Edwards, L., & Edwards, R. (2008). Dyslexia and developmental co-ordination disorder in further and higher education—similarities and differences: Does the ‘label’ influence the support given? Dyslexia, 14(3), 197-213. https://doi.org/10.1002/dys.367
  • Kline, P. (2014). An easy guide to factor analysis. Routledge.
  • Kline, T. J. (2005). Psychological testing: A practical approach to design and evaluation. Sage Publications.
  • Learning Disabilities Association. (2019). Learning Disabilities Association of America. Erişim tarihi 26 Nisan 2019, https://www.ldaamerica.org/support/new-to-ld/
  • Leech, N. L., Barrett, K. C., & Morgan, G. A. (2005). SPSS for intermediate statistics: Use and interpretation (2nd ed.). Lawrence Erlbaum Associates Inc.
  • Liu, Y. (2003). Developing a scale to measure the interactivity of websites. Journal of Advertising Research, 43(2), 207-216. https://doi.org/10.2501/JAR-43-2-207-216
  • Lowenthal, B. (1998). Precursors of learning disabilities in the inclusive preschool. Learning Disabilities: A Multidisciplinary Journal, 9(2), 25-31.
  • Lyytinen, P., Eklund, K., & Lyytinen, H. (2005). Language development and literacy skills in late-talking toddlers with and without familial risk for dyslexia. Annals of Dyslexia, 55, 166-192.
  • MacCallum, R. C., Widaman, K. F., Shaobo, Z., & Hong, S. (1999). Sample size in factor analysis. Psychological Methods, 4(1), 84-99. https://doi.org/10.1037/1082-989X.4.1.84
  • McCarney, S., & Arthaud, T. (2007). Learning Disability Evaluation Scale: Renormed second edition (LDES-R2). Retrieved April 13, 2020, from https://www.hawthorneed.com/images/learning%20disabilities/samples/swf_files/h03850sb.pdf
  • Mercer, C. D., & Mercer, A. R. (1997). Students with learning disabilities. Prentice Hall.
  • Meyers, L. S., Gamst, G., & Guarino, A. J. (2009). Data analysis using SAS enterprise guide. Cambridge University Press.
  • Milli Eğitim Bakanlığı. (2018). Türkiye'deki disleksili çocuk sayısı 120 binin üzerinde. Erişim tarihi 25 Mayıs 2018, http://sehitcihatsayim.meb.k12.tr/icerikler/quotturkiyedeki-disleksili-cocuk-sayisi-120-binin-uzerindequuot_5170331.htm
  • NCLD. (2014). The state of learning disabilities: Facts, trends and emerging issues. National Center for Learning Disabilities Inc.
  • Neuwirth, S. (1993). Learning disabilities (NIH Publication No. 93-3611). National Institutes of Health.
  • Nicolson, R. I., & Fawcett, A. J. (1994). Comparison of deficits in cognitive and motor skills among children with dyslexia. Annals of Dyslexia, 44, 147-164.
  • Ortiz, R., Estévez, A., Muñetón, M., & Domínguez, C. (2014). Visual and auditory perception in preschool children at risk for dyslexia. Research in Developmental Disabilities, 35(11), 2673-2680. https://doi.org/10.1016/j.ridd.2014.07.007.
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Öğrenme Güçlüğü Erken Belirtileri Tarama Ölçeğinin Psikometrik Niteliklerinin Belirlenmesi

Yıl 2024, Cilt: 37 Sayı: 2, 534 - 554, 29.08.2024
https://doi.org/10.19171/uefad.1401110

Öz

Okul öncesi dönemde öğrenme güçlüğü olabilecek öğrencilerin belirlenmesi erken müdahale için önemlidir. Bu araştırma kapsamında, öğrenme güçlüğü riski taşıyan çocukların erken evrede tespit edilebilmesi amacıyla, Öğrenme Güçlüğü Erken Belirtileri Tarama Ölçeği (ÖGEBTÖ)’nün geliştirilmesine ve bu ölçeğin psikometrik özelliklerinin kapsamlı bir şekilde incelenmesine yönelik bir çalışma gerçekleştirilmiştir. Bu çalışmanın yapılmasının temel nedeni, Türkiye'de öğrenme güçlüğünün erken belirtilerini kapsamlı bir şekilde değerlendiren bir ölçeğin bulunmamasıdır. Bu araştırma, geriye dönük betimsel tarama deseninde gerçekleştirilen bir ölçek geliştirme çalışmasıdır. Araştırmaya öğrenme güçlüğüne sahip çocuğu olan toplam 1429 öğrenci ebeveyni katılmıştır. Ölçek, iç tutarlılık açısından Cronbach Alpha katsayısı ile 0.95 değerinde yüksek bir güvenilirlik göstermiş, kapsam geçerliği indeksi 0.92 olarak bulunmuştur. Dört faktörlü yapısıyla ölçeğin toplam varyansın %48.99'unu açıkladığı tespit edilmiştir. Doğrulayıcı faktör analizinde elde edilen uyum indeksleri; CFI=0.97, SRMR=0.079, NNFI=0.96 ve RMSEA=0.068 olarak hesaplanarak, modelin veriye iyi bir uyum sağladığını ortaya koymuştur.
Bu araştırmada, ÖGEBTÖ; Dil Gelişimi ve İletişim, Bilişsel Beceriler, Psikomotor Gelişim Becerileri ve Sosyal Duygusal Beceriler şeklinde dört alt faktörden ve 52 maddeden oluşmuştur. Bu sonuçlar ÖGEBTÖ’nün öğrenme güçlüğünün erken ve gelişimsel belirtilerinin incelenmesinde kullanılabilecek geçerli ve güvenilir bir araç olduğunu göstermektedir.

Kaynakça

  • Aksu Meriçli, E., & Turan, F. (2014). A comparison between school and home rating scales and reliability-validity of the scales-the scales for diagnosing attention-deficit/hyperactivity disorder. Archives of Neuropsychiatry, 51, 195-204. https://doi.org/10.4274/npa.y6548
  • Alfonso, V. C., & Flanagan, D. P. (2018). Essentials of specific learning disability identification. John Wiley & Sons.
  • American Psychological Association. (2019). Disabled. Erişim tarihi 22 Ocak 2019, https://www.apa.org/monitor/sep03/disabled
  • Amerikan Psikiyatri Birliği. (2013). DSM-5 Tanı ölçütleri başvuru el kitabı (5. b.). (Çev: E. Köroğlu) Hekimler Yayın Birliği.
  • Blais, M. A., & Baer, L. (2010). Understanding rating scales and assessment instruments. In L. Baer & M. A. Blais (Eds.), Handbook of clinical rating scales and assessment in psychiatry and mental health (pp. 1-6). Humana Press.
  • Barth, K. (2006). Lernschwächen früh erkennen im Vorschulund im Grundschulalter (Recognizing learning difficulties early in preschool and elementary school age). Reinhardt.
  • Bender, W. N. (2008). Differentiating instruction for students with learning disabilities: Best teaching practices for general and special educators. Corwin Press.
  • Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238–246. https://doi.org/10.1037/0033-2909.107.2.238
  • Brown, T. (2006). Confirmatory factor analysis for applied research. The Guilford Press.
  • Büyüköztürk, Ş. (2016). Sosyal bilimler için veri analizi el kitabı. Pegem Akademi.
  • Büyüköztürk, Ş., Kılıç Çakmak, E., Akgün, Ö. E., Şirin, K., & Demirel, F. (2013). Bilimsel araştırma yöntemleri. Pegem Akademi.
  • Catts, H. W. (1997). The early identification of language-based reading disabilities. Language, Speech, and Hearing Services in Schools, 28(1), 86-89. Doi: 10.1044/0161-1461.2801.86
  • Costello, A. B., & Osborne, J. (2005). Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Practical Assessment, Research, and Evaluation, 10(1), 1-9. https://doi.org/10.7275/jyj1-4868
  • Çokluk, Ö., Şekerçicoğlu, G., & Büyüköztürk, Ş. (2010). Sosyal bilimler için çok değişkenli istatistik spss ve lisrel uygulamaları. Pegem Akademi.
  • DeVellis, R. F. (2016). Scale development: Theory and applications (Vol. 26). Sage publications.
  • Driscoll, K. (2020). When learning disabilities mask ADHD. A. Schonwald (Ed.), ADHD in adolescents (pp. 101-109). Springer, Cham. https://doi.org/10.1007/978-3-030-62393-7_7.
  • Disleksi ve Öğrenme Güçlüğü Derneği. (2015). Rehabilitasyon merkezlerinin öğrenme güçlüğü bireylere katkısı, velilerin beklentileri ve bu kuruluşların verimlilik analizleri araştırması. Disleksi ve Öğrenme Güçlüğü Derneği Yayını.
  • Ellis, P. D. (2010). The essential guide to effect sizes. Cambridge University Press.
  • Fawcett, A. J., & Nicolson, R. I. (1992). Automatisation deficits in balance for dyslexic children. Perceptual and Motor Skills, 75(2), 507-529. https://doi.org/10.2466/pms.1992.75.2.507
  • Fawcett, A., & Nicolson, R. (1995). The dyslexia early screening test. Irish Journal of Psychology, 16(3), 248-259. https://doi.org/10.1080/03033910.1995.10558060
  • Field, A. (2013). Discovering statistics using IBM SPSS statistics. Sage.
  • Fletcher, J. M., Lyon, G. R., Fuchs, L. S., & Barnes, M. A. (2018). Learning disabilities: From identification to intervention. Guilford Publications.
  • Gaddes, W. H. (2013). Learning disabilities and brain function: A neuropsychological approach. Springer Science & Business Media.
  • George, D., & Mallery, M. (2003). Using SPSS for Windows step by step: A simple guide and reference (4th ed.). Pearson Education.
  • Gillis, M., West, T., & Coleman, M. R. (2010). Early Learning Observation & Rating Scale: Teacher’s guide. National Center for Learning Disabilities.
  • Gliem, J. A., & Gliem, R. R. (2003). Calculating, interpreting, and reporting Cronbach’s alpha reliability coefficient for Likert-type scales. Midwest Research-to-Practice Conference in Adult, Continuing, and Community Education.
  • Görgün, B., & Melekoğlu, M. A. (2019). Türkiye’de özel öğrenme güçlüğü alanında yapılan çalışmaların incelenmesi. Sakarya University Journal of Education, 9(1), 83-106. https://doi.org/10.19126/süje.456198
  • Hammill, D., & Bryant, B. (1998). Learning disabilities diagnostic inventory (LDDI Kit). PRO-ED, Inc.
  • Heale, R., & Twycross, A. (2015). Validity and reliability in quantitative studies. Evidence-based Nursing, 18(3), 66-67. http://dx.doi.org/10.1136/eb-2015-102129
  • Hulme, C., & Snowling, M. (1992). Phonological deficits in dyslexia: A “sound” reappraisal of the verbal deficit hypothesis? In N. N. Singh, & I. L. Beale (Eds.), Learning disabilities: Nature, theory, and treatment (pp. 270-301). Springer.
  • Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55. https://doi.org/10.1080/10705519909540118
  • Jöreskog, K. G., & Sörbom, D. (1998). LISREL 8: Structural equation modeling with the SIMPLIS command language. Scientific Software International.
  • Kirby, A., Sugden, D., Beveridge, S., Edwards, L., & Edwards, R. (2008). Dyslexia and developmental co-ordination disorder in further and higher education—similarities and differences: Does the ‘label’ influence the support given? Dyslexia, 14(3), 197-213. https://doi.org/10.1002/dys.367
  • Kline, P. (2014). An easy guide to factor analysis. Routledge.
  • Kline, T. J. (2005). Psychological testing: A practical approach to design and evaluation. Sage Publications.
  • Learning Disabilities Association. (2019). Learning Disabilities Association of America. Erişim tarihi 26 Nisan 2019, https://www.ldaamerica.org/support/new-to-ld/
  • Leech, N. L., Barrett, K. C., & Morgan, G. A. (2005). SPSS for intermediate statistics: Use and interpretation (2nd ed.). Lawrence Erlbaum Associates Inc.
  • Liu, Y. (2003). Developing a scale to measure the interactivity of websites. Journal of Advertising Research, 43(2), 207-216. https://doi.org/10.2501/JAR-43-2-207-216
  • Lowenthal, B. (1998). Precursors of learning disabilities in the inclusive preschool. Learning Disabilities: A Multidisciplinary Journal, 9(2), 25-31.
  • Lyytinen, P., Eklund, K., & Lyytinen, H. (2005). Language development and literacy skills in late-talking toddlers with and without familial risk for dyslexia. Annals of Dyslexia, 55, 166-192.
  • MacCallum, R. C., Widaman, K. F., Shaobo, Z., & Hong, S. (1999). Sample size in factor analysis. Psychological Methods, 4(1), 84-99. https://doi.org/10.1037/1082-989X.4.1.84
  • McCarney, S., & Arthaud, T. (2007). Learning Disability Evaluation Scale: Renormed second edition (LDES-R2). Retrieved April 13, 2020, from https://www.hawthorneed.com/images/learning%20disabilities/samples/swf_files/h03850sb.pdf
  • Mercer, C. D., & Mercer, A. R. (1997). Students with learning disabilities. Prentice Hall.
  • Meyers, L. S., Gamst, G., & Guarino, A. J. (2009). Data analysis using SAS enterprise guide. Cambridge University Press.
  • Milli Eğitim Bakanlığı. (2018). Türkiye'deki disleksili çocuk sayısı 120 binin üzerinde. Erişim tarihi 25 Mayıs 2018, http://sehitcihatsayim.meb.k12.tr/icerikler/quotturkiyedeki-disleksili-cocuk-sayisi-120-binin-uzerindequuot_5170331.htm
  • NCLD. (2014). The state of learning disabilities: Facts, trends and emerging issues. National Center for Learning Disabilities Inc.
  • Neuwirth, S. (1993). Learning disabilities (NIH Publication No. 93-3611). National Institutes of Health.
  • Nicolson, R. I., & Fawcett, A. J. (1994). Comparison of deficits in cognitive and motor skills among children with dyslexia. Annals of Dyslexia, 44, 147-164.
  • Ortiz, R., Estévez, A., Muñetón, M., & Domínguez, C. (2014). Visual and auditory perception in preschool children at risk for dyslexia. Research in Developmental Disabilities, 35(11), 2673-2680. https://doi.org/10.1016/j.ridd.2014.07.007.
  • Özdamar, K. (2016). Ölçek ve test geliştirme yapısal eşitlik modellemesi. Nisan Kitapevi.
  • Özmen, R. G. (2011). Öğrenme güçlüğü olan öğrenciler. İ. H. Diken (Ed.) Özel eğitim içinde (s. 333-367). Pegem Akademi.
  • Pallant, J. (2010). SPSS survival manual. McGraw-Hill International.
  • Peltzman, B. R. (1992). Guidelines for early identification and strategies for early intervention of at-risk learning disabled children. ERIC Document Reproduction Service No. ED351111.
  • Polit, D. F., & Beck, C. T. (2006). The content validity index: Are you sure you know what's being reported? Critique and recommendations. Research in Nursing & Health, 29(5), 489-497. https://doi.org/10.1002/nur.20147
  • Reid, G. (2011). Dyslexia. Continuum International Publishing Group.
  • Rief, S., & Stern, J. (2010). The dyslexia checklist a pratical reference for parents and teachers. Jossey-Bass.
  • Ryser, G., & McConnell, K. (2002). Scales for Diagnosing Attention-Deficit. Pro-ed.
  • Schermelleh, K. E., Moosbrugger, H., & Hans, M. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research Online, 8(2), 23-74.
  • Schumacker, R. E., & Lomax, R. G. (2016). A beginner's guide to structural equation modeling. Routedge.
  • Seçer, İ. (2015). Psikolojik test geliştirme ve uyarlama süreci. Anı Yayıncılık.
  • Shaywitz, B. A., Fletcher, J. M., & Shaywitz, S. E. (1995). Defining and classifying learning disabilities and attention-deficit/hyperactivity disorder. Journal of Child Neurology, 10(1), 50-57. https://doi.org/10.1177/08830738950100S111
  • Shaywitz, S. E. (1998). Current concepts: Dyslexia. The New England Journal of Medicine,338, 307-312.
  • Shin, M., Hong, K., Kim, Z., & Cho, S. (1998). A standardization study of the Korean version of learning disability evaluation scale. Korean Neuropsychiatr Association, 37(6), 1233-1245.
  • Sigmundsson, H., Hansen, P. C., & Talcott, J. B. (2003). Do ‘clumsy’ children have visual deficits? Behavioural Brain Research, 139(1-2), 123-129. https://doi.org/10.1016/S0166-4328(02)00110-9
  • Steele, M. M. (2004). Making the case for early identification and intervention for young children at risk for learning disabilities. Early Childhood Education Journal, 32(2), 75-79.
  • Sümer, N. (2000). Yapısal eşitlik modelleri: Temel kavramlar ve örnek uygulamalar. Türk Psikoloji Yazıları, 3(6), 49-74.
  • Şencan, H. (2005). Sosyal ve davranışsal ölçümlerde güvenirlik ve geçerlik. Seçkin Yayıncılık.
  • Şimşek, Ö. F. (2020). Yapısal eşitlik modellemesine giriş: Temel ilkeler ve LISREL uygulamalari. Ekinoks.
  • Tabachnick, B. G., & Fidell, L. S. (2001). Using multivariate statistics. Allyn and Bacon.
  • Taylor, A. E. (2014). Diagnostic assessment of learning disabilities in childhood: Bridging the gap between research and practice. Springer Science + Business Media.
  • Tezbaşaran, A. (2008). Likert tipi ölçek hazırlama kılavuzu. Türk Psikologlar Derneği.
  • Turkington, C., & Harris, J. (2006). The encyclopedia of learning disabilities. Fact On File, Inc.
  • Van Bergen, E., Van der Leij, A., & De Jong, P. F. (2014). The intergenerational multiple deficit model and the case of dyslexia. Frontiers in Human Neuroscience, 8(346). 1-13. https://doi.org/10.3389/fnhum.2014.00346
  • Viholainen, H., Ahonen, T., Lyytinen, P., Cantell, M., & Lyytinen, H. (2006). Early motor development and later language and reading skills in children at risk of familial dyslexia. Developmental Medicine & Child Neurology, 48(5), 367-373. https://doi.org/10.1017/S001216220600079X
  • Willcutt, E., Boada, R., Riddle, M., Chhabildas, N., DeFries, J., & Pennington, B. (2011). Colorado learning difficulties questionnaire: Validation of a parent-report screening measure. Psychological Assessment, 23(3), 778-791. https://doi.org/10.1037/a0023290
  • Wolff, P. H., Michel, G. F., Ovrut, M., & Drake, C. (1990). Rate and timing precision of motor coordination in developmental dyslexia. Developmental Psychology, 26(3), 349-359. Doi: 10.1037/0012-1649.26.3.349
  • Zayed, A. M., Roehrig, A. D., Arrastia-Lloyd, M. C., & Gilgil, N. M. (2013). Phonological awareness and working memory in Arabic-speaking Egyptian preschool children at risk for dyslexia. International Journal of Psychological Studies, 5(1), 139-149.
Toplam 77 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Özel Eğitim ve Engelli Eğitimi (Diğer)
Bölüm Makaleler
Yazarlar

Mehmet Okur 0000-0002-5590-5478

Veysel Aksoy 0000-0003-1020-8326

Yayımlanma Tarihi 29 Ağustos 2024
Gönderilme Tarihi 6 Aralık 2023
Kabul Tarihi 3 Nisan 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 37 Sayı: 2

Kaynak Göster

APA Okur, M., & Aksoy, V. (2024). Öğrenme Güçlüğü Erken Belirtileri Tarama Ölçeğinin Psikometrik Niteliklerinin Belirlenmesi. Journal of Uludag University Faculty of Education, 37(2), 534-554. https://doi.org/10.19171/uefad.1401110