dc.contributor.advisor | Atar, Burcu | |
dc.contributor.author | Espinoza, Judith Cristina | |
dc.date.accessioned | 2019-07-26T08:35:34Z | |
dc.date.issued | 2019-07 | |
dc.date.submitted | 2018-07-06 | |
dc.identifier.citation | APA 6 | tr_TR |
dc.identifier.uri | http://hdl.handle.net/11655/8075 | |
dc.description.abstract | The purpose of this study is to determine whether there is DIF in the PISA 2015
reading section items from Singapore, Australia and the United States by
employing the Mantel-Haenszel and the Logistic Regression methods. In order to
calculate uniform DIF two research questions are asked: 1) Is there gender-related
DIF and or (2) culture-related DIF in the 16 selected binary items of the PISA 2015
reading section from Singapore, Australia and the United States? The data was
obtained from the PISA 2015 reading items section and the sample was divided
according to the variables gender and culture for a total of 2293 students. The DIF
values were determined and classified into categories A, B or C. MH findings
showed that considering the variable gender, males and females were equally
advantaged whereas the LR results demonstrated that females were favoured
over males. Regarding the variable culture, MH showed that Australia was
advantaged over Singapore, Singapore over USA and Australia over USA.
However, LR analysis showed exactly the opposite results in all the cases. A total
of 7 items were classified with C level and the overall levels were higher. In
general, when the variable gender was studied most of the items were classified
with A levels. Nevertheless, once the countries were paired to evaluate the
variable culture, the DIF level increased into major occurrence of B and C levels.
The overall results demonstrated that the items from the reading section of PISA
2015 functioned equally among the group members. | tr_TR |
dc.description.tableofcontents | Abstract ii
Öz iii
Acknowledgements iv
List of Tables viii
List of Figures ix
Symbols and Abbreviations x
Chapter 1 Introduction 1
Programme for International Students Assessment (PISA) 1
Reading Literacy in PISA 1
Differential Item Functioning 2
Types of Differential Item Functioning 4
Differential Item Functioning Detection Methods 5
Mantel-Haenszel 6
Advantages and Disadvantages of Mantel-Haenszel 9
Logistic Regression 10
Advantages and Disadvantages of Logistic Regression 11
Item Bias 11
Statement of the Problem 12
Sub Problems 12
Research Objective 12
Importance of the Study 13
Limitations 14
Chapter 2 Related Studies 15
Chapter 3 Methodology 20
Type of Research 20
Type of Sampling 21
9
Data Collection Process 21
Analyzed Countries 23
Instrument 24
PISA Unidimensionality 24
Calculation and Determination of DIF 25
Chapter 4 Findings 28
Differential Item Function Analysis 28
Results of MH-DIF Classification Across Gender 29
Results of LR-DIF Classification Across Gender 31
Results of MH-DIF Classification Across Culture 33
Results of LR-DIF Classification Across Culture 36
Graphs of Probability of Correct Answer 38
Graphs of Probability of Correct Answer by Gender 39
Graphs of Probability of Correct Answer by Culture 42
Related Studies Results Comparison 46
Chapter 5 Conclusion, Discussion and Suggestions 48
Research Question 1 Analysis: Gender-related DIF 48
Results by Mantel-Haenszel 48
Results by Logistic Regression 49
Research Question 2 Analysis: Culture-related DIF 49
Results by Mantel-Haenszel 49
Results by Logistic Regression 49
DIF Effect Size Comparison by Mantel-Haenszel and Logistic Regression 50
Results by Mantel-Haenszel 50
Results by Logistic Regression 50
Suggestions 52
References 53
10
APPENDIX-A: Graphs of Probability of Correct Answer 57
APPENDIX-B: SPSS Syntaxes 63
APPENDIX-C: Ethics Committee Approval 73
APPENDIX-D: Declaration of Ethical Conduct 74
APPENDIX-E: Thesis Originality Report 75
APPENDIX-F: Yayımlama ve Fikri Mülkiyet Hakları Beyanı 76 | tr_TR |
dc.language.iso | en | tr_TR |
dc.publisher | Eğitim Bilimleri Enstitüsü | tr_TR |
dc.rights | info:eu-repo/semantics/openAccess | tr_TR |
dc.rights | CC0 1.0 Universal | * |
dc.rights.uri | http://creativecommons.org/publicdomain/zero/1.0/ | * |
dc.subject | Differential item functioning | tr_eng |
dc.subject | Mantel-haenszel | tr_eng |
dc.subject | Logistic regression | tr_eng |
dc.subject | PISA | tr_eng |
dc.subject | Singapore | tr_eng |
dc.subject | Australia | tr_eng |
dc.subject | United States | tr_eng |
dc.subject.lcsh | Konu Başlıkları Listesi::Eğitim | tr_TR |
dc.title | Differential Item Functioning Analysis Of Pısa 2015 Reading
Items: Singapore, Australia And USA | tr_eng |
dc.title.alternative | Değişen Madde Fonksiyonu Analizi, 2015 Pisa Okuma Maddeleri: Singapur, Avustralya ve ABD | tr_TR |
dc.type | info:eu-repo/semantics/masterThesis | tr_TR |
dc.description.ozet | Bu çalışmanın amacı, Singapur, Avustralya ve ABD’de 2015 PISA okuma
bölümündeki maddelerde değişen madde fonksiyonunun (DMF) olup olmadığını
Mantel-Haenszel ve Lojistik Regresyon yöntemlerini kullanarak tespit etmektir.
Birleşik DMF hesaplamak amacıyla, şu iki soruya cevap aranmaktadır: Singapur,
Avustralya ve ABD’de 2015 PISA okuma bölümünden seçilen iki kategorili
puanlanan 16 maddede (1) cinsiyetle alakalı bir DMF var mıdır? ve/ya da (2)
kültürle alakalı bir DMF mevcut mudur? Çalışma verileri PISA 2015’in okuma
bölümündeki maddelerden elde edilmiştir ve toplam 2293 öğrenciden oluşan
örneklem, cinsiyet ve kültür değişkenlerine göre ayrılmıştır. DMF değerleri
belirlenmiştir ve sınıflandırma A, B ve C kategorilerine ayrılmıştır. MH bulgularına
göre, cinsiyet değişkeni açısından, erkekler ve kadınlar eşit oranda avantajlı iken,
LR sonuçlarına göre, kadınlar, erkeklere oranla daha avantajlı durumdadır. Kültür
değişkeniyle ilgili MH sonuçlarına göre Avustralya, ABD ve Singapur’dan daha
avantajlı konumda iken; Singapur da ABD’den daha avantajlı durumdadır. Fakat,
LR analizi sonuçlarına her açıdan tam karşıtı sonuçlar ortaya koymuştur.
Toplamda 7 madde, C düzeyinde DMF gözlenmistir ve DMF büyüklükleri daha
yüksektir. Genel olarak bakıldığında, cinsiyet değişkeni açısından, DMF gösteren
maddelerin çoğu A düzeyinde sınıflandırılmıştır. Ancak, kültür değişkeni açısından
ülkeler eşleştirildiğinde ise, DMF gösteren maddelerin daha fazla B ve C
düzeylerinde sınıflandırıldığı görülmektedir. Genel sonuçlara göre, PISA 2015’in
okuma bölümünde yer alan maddeler, grup üyeleri arasında eşit oranda
fonksiyoneldir. | tr_TR |
dc.contributor.department | Eğitim Bilimleri | tr_TR |
dc.embargo.terms | Acik erisim | tr_TR |
dc.embargo.lift | - | |
dc.identifier.ORCID | https://orcid.org/0000-0002-9493-5100 | tr_TR |
dc.subject.msc | Mathematics Subject Classification::Statistics | tr_TR |
dc.subject.ieee | IEEE Thesaurus Terms::Education | tr_TR |
dc.subject.eric | ERIC Thesaurus::Measurement | tr_TR |