二語閱讀成分分析：影響日本EFL學(xué)習(xí)者閱讀測(cè)試表現(xiàn)的語言學(xué)因素與處理能力因素研究（英文版）

Acknowledgements
Series Editors' note
Abbreviations
1 Introduction
2 Literature review
3 Methodology
4 Preliminary studies： phase 1
5 Preliminary studies： phase 2
6 The main study： background data
7 Results and discussion 1： measured variables accounting for reading performance
8 Results and discussion 2： latent variables accounting for reading performance
9 General discussion and conclusion Appendices
Appendix 1 Test of passage reading comprehension： Classical item analysis （dichotomous scoring）
Appendix 2 Rasch analyses of the test of passage reading
comprehension （data from preliminary study D
and the main study combined）： Persons-to-items
map， model fit， and item difficulty estimates
Appendix 3 Test of passage reading comprehension： Classical item analysis （COPS）
Appendix 4 Test of computer-based sentence reading： Classical item analysis
Appendix 5 Test of syntactic knowledge： Classical item analysis（dichotomous scoring）
Appendix 6 Rasch analyses of the test of syntactic knowledge（data from preliminary study D and the main study combined）： Persons-to-items map， model fit， and item
difficulty estimates
Appendix 7 Test of syntactic knowledge： Classical item analysis（COPS）
Appendix 8 Test of vocabulary breadth： Classical item analysis
Appendix 9 Rasch analyses of the test of vocabulary breadth（data from preliminary study D and the main study combined）： Persons-to-items map， model fit， and
item difficulty estimates
Appendix 10 Measures of recognition latency： Classical item analysis
Appendix 11 Measure of language-independent metacognitive knowledge： Classical item analysis
Appendix 12 Rasch analyses of the measure of language- independent metacognitive knowledge about the text and reading： Persons-to-items map， model fit， and item
difficulty estimates
Appendix 13 Summary of the significant predictors of reading comprehension performance across separate analyses
when syntax raw score was used in place of COPS score
Appendix 14 SEM fit statistics and diagram for the model with thesyntax raw score in place of the syntax COPS score
Appendix 15 Results of a post-hoc SEM analysis that explored the separability of lexical-semantic processing efficiency
from computer-based visual processing/key-pressing
efficiency
References
Author index
Subject index