心理与行为研究 ›› 2023, Vol. 21 ›› Issue (6): 760-769.DOI: 10.12139/j.1672-0628.2023.06.006
收稿日期:
2022-08-13
出版日期:
2023-11-20
发布日期:
2023-11-20
通讯作者:
喻晓锋
基金资助:
Dafu MA1,2, Chunying QIN1,3, Xiaofeng YU1,*(), Cui HE1
Received:
2022-08-13
Online:
2023-11-20
Published:
2023-11-20
Contact:
Xiaofeng YU
摘要: 将两种项目区分度指标(CDI、ADI)及两种扩展项目区分度指标(GMCDI、GMADI)用于属性多水平诊断测验组卷。考虑三种实际测验情景,开展两项研究:研究1,二级与多级计分项目独立组卷测验;研究2,二级与多级计分项目混合组卷测验。结果表明,GMCDI与GMADI组卷方法可获得最高诊断精度,且不受属性层级结构与测验类型影响。
中图分类号:
马大付, 秦春影, 喻晓锋, 何催. 项目区分度指标在属性多水平和混合计分项目下的组卷研究[J]. 心理与行为研究, 2023, 21(6): 760-769.
Dafu MA, Chunying QIN, Xiaofeng YU, Cui HE. Research on Test Assembly of Item Discrimination Index Under Polytomous Attributes and Mixed Scoring Items[J]. Studies of Psychology and Behavior, 2023, 21(6): 760-769.
因素 | 水平 |
题库类型 | 二级计分、多级计分 |
属性结构 | 独立型、线性型、分支型、收敛型 |
组卷长度 | 20、30、40 |
组卷方法 | RD(随机组卷)、CDI、ADI、GMCDI、GMADI |
表1 研究1四因素水平
因素 | 水平 |
题库类型 | 二级计分、多级计分 |
属性结构 | 独立型、线性型、分支型、收敛型 |
组卷长度 | 20、30、40 |
组卷方法 | RD(随机组卷)、CDI、ADI、GMCDI、GMADI |
属性结构 | 组卷方法 | 20 | 30 | 40 | ||||||||
二级计分 | 多级计分 | P | 二级计分 | 多级计分 | P | 二级计分 | 多级计分 | P | ||||
独立型 | RD | 0.265 | 0.281 | 0.016 | 0.380 | 0.391 | 0.011 | 0.469 | 0.505 | 0.036 | ||
CDI | 0.513 | 0.511 | −0.002 | 0.689 | 0.671 | −0.018 | 0.782 | 0.762 | −0.020 | |||
ADI | 0.470 | 0.443 | −0.027 | 0.652 | 0.626 | −0.026 | 0.754 | 0.741 | −0.013 | |||
GMCDI | 0.599 | 0.602 | 0.003 | 0.765 | 0.771 | 0.006 | 0.860 | 0.868 | 0.008 | |||
GMADI | 0.562 | 0.539 | −0.023 | 0.732 | 0.735 | 0.003 | 0.832 | 0.846 | 0.014 | |||
线性型 | RD | 0.642 | 0.655 | 0.013 | 0.764 | 0.783 | 0.019 | 0.829 | 0.853 | 0.024 | ||
CDI | 0.606 | 0.597 | −0.009 | 0.674 | 0.655 | −0.019 | 0.715 | 0.695 | −0.020 | |||
ADI | 0.680 | 0.671 | −0.009 | 0.761 | 0.755 | −0.006 | 0.797 | 0.792 | −0.005 | |||
GMCDI | 0.906 | 0.915 | 0.009 | 0.950 | 0.958 | 0.008 | 0.977 | 0.983 | 0.006 | |||
GMADI | 0.845 | 0.852 | 0.007 | 0.895 | 0.900 | 0.005 | 0.943 | 0.948 | 0.005 | |||
分支型 | RD | 0.508 | 0.557 | 0.049 | 0.652 | 0.679 | 0.027 | 0.754 | 0.772 | 0.018 | ||
CDI | 0.598 | 0.569 | −0.029 | 0.697 | 0.688 | −0.009 | 0.779 | 0.769 | −0.010 | |||
ADI | 0.520 | 0.522 | 0.002 | 0.671 | 0.663 | −0.008 | 0.757 | 0.752 | −0.005 | |||
GMCDI | 0.852 | 0.877 | 0.025 | 0.929 | 0.939 | 0.010 | 0.942 | 0.952 | 0.010 | |||
GMADI | 0.803 | 0.811 | 0.008 | 0.884 | 0.889 | 0.005 | 0.938 | 0.946 | 0.008 | |||
收敛型 | RD | 0.505 | 0.518 | 0.013 | 0.638 | 0.667 | 0.029 | 0.713 | 0.747 | 0.034 | ||
CDI | 0.626 | 0.612 | −0.014 | 0.721 | 0.703 | −0.018 | 0.776 | 0.763 | −0.013 | |||
ADI | 0.519 | 0.489 | −0.030 | 0.662 | 0.649 | −0.013 | 0.750 | 0.754 | 0.004 | |||
GMCDI | 0.840 | 0.856 | 0.016 | 0.905 | 0.918 | 0.013 | 0.928 | 0.936 | 0.008 | |||
GMADI | 0.811 | 0.827 | 0.016 | 0.902 | 0.916 | 0.014 | 0.917 | 0.925 | 0.008 |
表2 二级与多级计分项目组卷模式判准率比较
属性结构 | 组卷方法 | 20 | 30 | 40 | ||||||||
二级计分 | 多级计分 | P | 二级计分 | 多级计分 | P | 二级计分 | 多级计分 | P | ||||
独立型 | RD | 0.265 | 0.281 | 0.016 | 0.380 | 0.391 | 0.011 | 0.469 | 0.505 | 0.036 | ||
CDI | 0.513 | 0.511 | −0.002 | 0.689 | 0.671 | −0.018 | 0.782 | 0.762 | −0.020 | |||
ADI | 0.470 | 0.443 | −0.027 | 0.652 | 0.626 | −0.026 | 0.754 | 0.741 | −0.013 | |||
GMCDI | 0.599 | 0.602 | 0.003 | 0.765 | 0.771 | 0.006 | 0.860 | 0.868 | 0.008 | |||
GMADI | 0.562 | 0.539 | −0.023 | 0.732 | 0.735 | 0.003 | 0.832 | 0.846 | 0.014 | |||
线性型 | RD | 0.642 | 0.655 | 0.013 | 0.764 | 0.783 | 0.019 | 0.829 | 0.853 | 0.024 | ||
CDI | 0.606 | 0.597 | −0.009 | 0.674 | 0.655 | −0.019 | 0.715 | 0.695 | −0.020 | |||
ADI | 0.680 | 0.671 | −0.009 | 0.761 | 0.755 | −0.006 | 0.797 | 0.792 | −0.005 | |||
GMCDI | 0.906 | 0.915 | 0.009 | 0.950 | 0.958 | 0.008 | 0.977 | 0.983 | 0.006 | |||
GMADI | 0.845 | 0.852 | 0.007 | 0.895 | 0.900 | 0.005 | 0.943 | 0.948 | 0.005 | |||
分支型 | RD | 0.508 | 0.557 | 0.049 | 0.652 | 0.679 | 0.027 | 0.754 | 0.772 | 0.018 | ||
CDI | 0.598 | 0.569 | −0.029 | 0.697 | 0.688 | −0.009 | 0.779 | 0.769 | −0.010 | |||
ADI | 0.520 | 0.522 | 0.002 | 0.671 | 0.663 | −0.008 | 0.757 | 0.752 | −0.005 | |||
GMCDI | 0.852 | 0.877 | 0.025 | 0.929 | 0.939 | 0.010 | 0.942 | 0.952 | 0.010 | |||
GMADI | 0.803 | 0.811 | 0.008 | 0.884 | 0.889 | 0.005 | 0.938 | 0.946 | 0.008 | |||
收敛型 | RD | 0.505 | 0.518 | 0.013 | 0.638 | 0.667 | 0.029 | 0.713 | 0.747 | 0.034 | ||
CDI | 0.626 | 0.612 | −0.014 | 0.721 | 0.703 | −0.018 | 0.776 | 0.763 | −0.013 | |||
ADI | 0.519 | 0.489 | −0.030 | 0.662 | 0.649 | −0.013 | 0.750 | 0.754 | 0.004 | |||
GMCDI | 0.840 | 0.856 | 0.016 | 0.905 | 0.918 | 0.013 | 0.928 | 0.936 | 0.008 | |||
GMADI | 0.811 | 0.827 | 0.016 | 0.902 | 0.916 | 0.014 | 0.917 | 0.925 | 0.008 |
属性结构 | 组卷方法 | 20 | 30 | 40 | ||||||||
二级计分 | 多级计分 | P | 二级计分 | 多级计分 | P | 二级计分 | 多级计分 | P | ||||
独立型 | RD | 0.694 | 0.708 | 0.014 | 0.762 | 0.771 | 0.009 | 0.806 | 0.827 | 0.021 | ||
CDI | 0.879 | 0.880 | 0.001 | 0.928 | 0.926 | −0.002 | 0.952 | 0.948 | −0.004 | |||
ADI | 0.849 | 0.843 | −0.006 | 0.908 | 0.904 | −0.004 | 0.937 | 0.936 | −0.001 | |||
GMCDI | 0.902 | 0.906 | 0.004 | 0.948 | 0.948 | 0.968 | 0.971 | 0.003 | ||||
GMADI | 0.879 | 0.876 | −0.003 | 0.930 | 0.932 | 0.002 | 0.957 | 0.962 | 0.005 | |||
线性型 | RD | 0.899 | 0.902 | 0.003 | 0.940 | 0.945 | 0.005 | 0.959 | 0.965 | 0.006 | ||
CDI | 0.853 | 0.850 | −0.003 | 0.875 | 0.874 | −0.001 | 0.890 | 0.888 | −0.002 | |||
ADI | 0.848 | 0.838 | −0.010 | 0.882 | 0.878 | −0.004 | 0.897 | 0.895 | −0.002 | |||
GMCDI | 0.974 | 0.977 | 0.003 | 0.989 | 0.991 | 0.002 | 0.995 | 0.996 | 0.001 | |||
GMADI | 0.937 | 0.939 | 0.002 | 0.964 | 0.965 | 0.001 | 0.985 | 0.987 | 0.002 | |||
分支型 | RD | 0.844 | 0.866 | 0.022 | 0.900 | 0.909 | 0.009 | 0.935 | 0.940 | 0.005 | ||
CDI | 0.890 | 0.882 | −0.008 | 0.921 | 0.919 | −0.002 | 0.944 | 0.941 | −0.003 | |||
ADI | 0.822 | 0.821 | −0.001 | 0.879 | 0.874 | −0.005 | 0.910 | 0.907 | −0.003 | |||
GMCDI | 0.960 | 0.966 | 0.006 | 0.983 | 0.986 | 0.003 | 0.986 | 0.988 | 0.002 | |||
GMADI | 0.925 | 0.929 | 0.004 | 0.963 | 0.963 | 0.985 | 0.987 | 0.002 | ||||
收敛型 | RD | 0.835 | 0.841 | 0.006 | 0.892 | 0.904 | 0.012 | 0.920 | 0.933 | 0.013 | ||
CDI | 0.899 | 0.899 | 0.929 | 0.927 | −0.002 | 0.945 | 0.943 | −0.002 | ||||
ADI | 0.832 | 0.824 | −0.008 | 0.884 | 0.880 | −0.004 | 0.913 | 0.914 | 0.001 | |||
GMCDI | 0.957 | 0.962 | 0.005 | 0.971 | 0.975 | 0.004 | 0.979 | 0.982 | 0.003 | |||
GMADI | 0.932 | 0.939 | 0.007 | 0.970 | 0.974 | 0.004 | 0.975 | 0.977 | 0.002 |
表3 二级与多级计分项目组卷属性判准率比较
属性结构 | 组卷方法 | 20 | 30 | 40 | ||||||||
二级计分 | 多级计分 | P | 二级计分 | 多级计分 | P | 二级计分 | 多级计分 | P | ||||
独立型 | RD | 0.694 | 0.708 | 0.014 | 0.762 | 0.771 | 0.009 | 0.806 | 0.827 | 0.021 | ||
CDI | 0.879 | 0.880 | 0.001 | 0.928 | 0.926 | −0.002 | 0.952 | 0.948 | −0.004 | |||
ADI | 0.849 | 0.843 | −0.006 | 0.908 | 0.904 | −0.004 | 0.937 | 0.936 | −0.001 | |||
GMCDI | 0.902 | 0.906 | 0.004 | 0.948 | 0.948 | 0.968 | 0.971 | 0.003 | ||||
GMADI | 0.879 | 0.876 | −0.003 | 0.930 | 0.932 | 0.002 | 0.957 | 0.962 | 0.005 | |||
线性型 | RD | 0.899 | 0.902 | 0.003 | 0.940 | 0.945 | 0.005 | 0.959 | 0.965 | 0.006 | ||
CDI | 0.853 | 0.850 | −0.003 | 0.875 | 0.874 | −0.001 | 0.890 | 0.888 | −0.002 | |||
ADI | 0.848 | 0.838 | −0.010 | 0.882 | 0.878 | −0.004 | 0.897 | 0.895 | −0.002 | |||
GMCDI | 0.974 | 0.977 | 0.003 | 0.989 | 0.991 | 0.002 | 0.995 | 0.996 | 0.001 | |||
GMADI | 0.937 | 0.939 | 0.002 | 0.964 | 0.965 | 0.001 | 0.985 | 0.987 | 0.002 | |||
分支型 | RD | 0.844 | 0.866 | 0.022 | 0.900 | 0.909 | 0.009 | 0.935 | 0.940 | 0.005 | ||
CDI | 0.890 | 0.882 | −0.008 | 0.921 | 0.919 | −0.002 | 0.944 | 0.941 | −0.003 | |||
ADI | 0.822 | 0.821 | −0.001 | 0.879 | 0.874 | −0.005 | 0.910 | 0.907 | −0.003 | |||
GMCDI | 0.960 | 0.966 | 0.006 | 0.983 | 0.986 | 0.003 | 0.986 | 0.988 | 0.002 | |||
GMADI | 0.925 | 0.929 | 0.004 | 0.963 | 0.963 | 0.985 | 0.987 | 0.002 | ||||
收敛型 | RD | 0.835 | 0.841 | 0.006 | 0.892 | 0.904 | 0.012 | 0.920 | 0.933 | 0.013 | ||
CDI | 0.899 | 0.899 | 0.929 | 0.927 | −0.002 | 0.945 | 0.943 | −0.002 | ||||
ADI | 0.832 | 0.824 | −0.008 | 0.884 | 0.880 | −0.004 | 0.913 | 0.914 | 0.001 | |||
GMCDI | 0.957 | 0.962 | 0.005 | 0.971 | 0.975 | 0.004 | 0.979 | 0.982 | 0.003 | |||
GMADI | 0.932 | 0.939 | 0.007 | 0.970 | 0.974 | 0.004 | 0.975 | 0.977 | 0.002 |
属性结构 | 组卷方法 | 组卷比例 | 二级计分 | 多级计分 | ||||||||
1∶9 | 2∶8 | 3∶7 | 4∶6 | 5∶5 | 6∶4 | 7∶3 | 8∶2 | 9∶1 | ||||
独立型 | RD | 0.401 | 0.385 | 0.384 | 0.382 | 0.370 | 0.377 | 0.379 | 0.370 | 0.367 | 0.380 | 0.391 |
CDI | 0.607 | 0.603 | 0.600 | 0.608 | 0.605 | 0.616 | 0.620 | 0.628 | 0.647 | 0.689 | 0.671 | |
ADI | 0.604 | 0.606 | 0.595 | 0.595 | 0.595 | 0.597 | 0.591 | 0.606 | 0.616 | 0.652 | 0.626 | |
GMCDI | 0.768 | 0.777 | 0.776 | 0.784 | 0.776 | 0.767 | 0.775 | 0.782 | 0.773 | 0.765 | 0.771 | |
GMADI | 0.736 | 0.739 | 0.738 | 0.745 | 0.749 | 0.745 | 0.742 | 0.743 | 0.737 | 0.732 | 0.735 | |
线性型 | RD | 0.774 | 0.775 | 0.761 | 0.764 | 0.759 | 0.759 | 0.752 | 0.766 | 0.755 | 0.764 | 0.783 |
CDI | 0.630 | 0.622 | 0.621 | 0.619 | 0.625 | 0.627 | 0.629 | 0.631 | 0.638 | 0.674 | 0.655 | |
ADI | 0.725 | 0.722 | 0.715 | 0.705 | 0.700 | 0.702 | 0.704 | 0.706 | 0.719 | 0.761 | 0.755 | |
GMCDI | 0.954 | 0.954 | 0.954 | 0.949 | 0.948 | 0.946 | 0.944 | 0.942 | 0.941 | 0.950 | 0.958 | |
GMADI | 0.875 | 0.875 | 0.873 | 0.870 | 0.864 | 0.863 | 0.865 | 0.868 | 0.870 | 0.895 | 0.900 | |
分支型 | RD | 0.663 | 0.680 | 0.672 | 0.653 | 0.651 | 0.654 | 0.659 | 0.647 | 0.642 | 0.652 | 0.679 |
CDI | 0.676 | 0.663 | 0.660 | 0.658 | 0.667 | 0.684 | 0.680 | 0.680 | 0.691 | 0.697 | 0.688 | |
ADI | 0.695 | 0.693 | 0.680 | 0.682 | 0.676 | 0.681 | 0.685 | 0.685 | 0.694 | 0.671 | 0.663 | |
GMCDI | 0.931 | 0.931 | 0.929 | 0.929 | 0.927 | 0.925 | 0.923 | 0.923 | 0.922 | 0.929 | 0.939 | |
GMADI | 0.894 | 0.894 | 0.894 | 0.894 | 0.892 | 0.890 | 0.888 | 0.885 | 0.883 | 0.884 | 0.889 | |
收敛型 | RD | 0.671 | 0.655 | 0.649 | 0.661 | 0.650 | 0.642 | 0.644 | 0.633 | 0.651 | 0.638 | 0.667 |
CDI | 0.708 | 0.701 | 0.703 | 0.691 | 0.690 | 0.696 | 0.692 | 0.694 | 0.696 | 0.721 | 0.703 | |
ADI | 0.652 | 0.635 | 0.629 | 0.622 | 0.630 | 0.627 | 0.646 | 0.647 | 0.662 | 0.662 | 0.649 | |
GMCDI | 0.922 | 0.922 | 0.922 | 0.921 | 0.918 | 0.916 | 0.914 | 0.911 | 0.908 | 0.905 | 0.918 | |
GMADI | 0.918 | 0.918 | 0.917 | 0.917 | 0.915 | 0.913 | 0.910 | 0.907 | 0.904 | 0.902 | 0.916 |
表4 五种组卷方法30题时的混合计分模式判准率
属性结构 | 组卷方法 | 组卷比例 | 二级计分 | 多级计分 | ||||||||
1∶9 | 2∶8 | 3∶7 | 4∶6 | 5∶5 | 6∶4 | 7∶3 | 8∶2 | 9∶1 | ||||
独立型 | RD | 0.401 | 0.385 | 0.384 | 0.382 | 0.370 | 0.377 | 0.379 | 0.370 | 0.367 | 0.380 | 0.391 |
CDI | 0.607 | 0.603 | 0.600 | 0.608 | 0.605 | 0.616 | 0.620 | 0.628 | 0.647 | 0.689 | 0.671 | |
ADI | 0.604 | 0.606 | 0.595 | 0.595 | 0.595 | 0.597 | 0.591 | 0.606 | 0.616 | 0.652 | 0.626 | |
GMCDI | 0.768 | 0.777 | 0.776 | 0.784 | 0.776 | 0.767 | 0.775 | 0.782 | 0.773 | 0.765 | 0.771 | |
GMADI | 0.736 | 0.739 | 0.738 | 0.745 | 0.749 | 0.745 | 0.742 | 0.743 | 0.737 | 0.732 | 0.735 | |
线性型 | RD | 0.774 | 0.775 | 0.761 | 0.764 | 0.759 | 0.759 | 0.752 | 0.766 | 0.755 | 0.764 | 0.783 |
CDI | 0.630 | 0.622 | 0.621 | 0.619 | 0.625 | 0.627 | 0.629 | 0.631 | 0.638 | 0.674 | 0.655 | |
ADI | 0.725 | 0.722 | 0.715 | 0.705 | 0.700 | 0.702 | 0.704 | 0.706 | 0.719 | 0.761 | 0.755 | |
GMCDI | 0.954 | 0.954 | 0.954 | 0.949 | 0.948 | 0.946 | 0.944 | 0.942 | 0.941 | 0.950 | 0.958 | |
GMADI | 0.875 | 0.875 | 0.873 | 0.870 | 0.864 | 0.863 | 0.865 | 0.868 | 0.870 | 0.895 | 0.900 | |
分支型 | RD | 0.663 | 0.680 | 0.672 | 0.653 | 0.651 | 0.654 | 0.659 | 0.647 | 0.642 | 0.652 | 0.679 |
CDI | 0.676 | 0.663 | 0.660 | 0.658 | 0.667 | 0.684 | 0.680 | 0.680 | 0.691 | 0.697 | 0.688 | |
ADI | 0.695 | 0.693 | 0.680 | 0.682 | 0.676 | 0.681 | 0.685 | 0.685 | 0.694 | 0.671 | 0.663 | |
GMCDI | 0.931 | 0.931 | 0.929 | 0.929 | 0.927 | 0.925 | 0.923 | 0.923 | 0.922 | 0.929 | 0.939 | |
GMADI | 0.894 | 0.894 | 0.894 | 0.894 | 0.892 | 0.890 | 0.888 | 0.885 | 0.883 | 0.884 | 0.889 | |
收敛型 | RD | 0.671 | 0.655 | 0.649 | 0.661 | 0.650 | 0.642 | 0.644 | 0.633 | 0.651 | 0.638 | 0.667 |
CDI | 0.708 | 0.701 | 0.703 | 0.691 | 0.690 | 0.696 | 0.692 | 0.694 | 0.696 | 0.721 | 0.703 | |
ADI | 0.652 | 0.635 | 0.629 | 0.622 | 0.630 | 0.627 | 0.646 | 0.647 | 0.662 | 0.662 | 0.649 | |
GMCDI | 0.922 | 0.922 | 0.922 | 0.921 | 0.918 | 0.916 | 0.914 | 0.911 | 0.908 | 0.905 | 0.918 | |
GMADI | 0.918 | 0.918 | 0.917 | 0.917 | 0.915 | 0.913 | 0.910 | 0.907 | 0.904 | 0.902 | 0.916 |
属性结构 | 组卷方法 | 组卷比例 | 二级计分 | 多级计分 | ||||||||
1∶9 | 2∶8 | 3∶7 | 4∶6 | 5∶5 | 6∶4 | 7∶3 | 8∶2 | 9∶1 | ||||
独立型 | RD | 0.778 | 0.768 | 0.765 | 0.764 | 0.756 | 0.762 | 0.762 | 0.756 | 0.752 | 0.762 | 0.771 |
CDI | 0.911 | 0.910 | 0.910 | 0.912 | 0.911 | 0.913 | 0.913 | 0.916 | 0.920 | 0.928 | 0.926 | |
ADI | 0.898 | 0.899 | 0.896 | 0.895 | 0.895 | 0.895 | 0.894 | 0.898 | 0.900 | 0.908 | 0.904 | |
GMCDI | 0.949 | 0.951 | 0.951 | 0.953 | 0.951 | 0.949 | 0.951 | 0.952 | 0.949 | 0.948 | 0.948 | |
GMADI | 0.934 | 0.935 | 0.935 | 0.937 | 0.938 | 0.937 | 0.936 | 0.936 | 0.934 | 0.930 | 0.932 | |
线性型 | RD | 0.944 | 0.944 | 0.940 | 0.941 | 0.940 | 0.939 | 0.938 | 0.942 | 0.939 | 0.940 | 0.945 |
CDI | 0.868 | 0.866 | 0.865 | 0.865 | 0.867 | 0.866 | 0.866 | 0.868 | 0.870 | 0.875 | 0.874 | |
ADI | 0.867 | 0.867 | 0.864 | 0.859 | 0.857 | 0.857 | 0.859 | 0.860 | 0.865 | 0.882 | 0.878 | |
GMCDI | 0.990 | 0.990 | 0.990 | 0.989 | 0.989 | 0.988 | 0.988 | 0.987 | 0.987 | 0.989 | 0.991 | |
GMADI | 0.956 | 0.956 | 0.954 | 0.952 | 0.949 | 0.949 | 0.950 | 0.952 | 0.955 | 0.964 | 0.965 | |
分支型 | RD | 0.906 | 0.908 | 0.906 | 0.899 | 0.897 | 0.900 | 0.903 | 0.899 | 0.894 | 0.900 | 0.909 |
CDI | 0.919 | 0.915 | 0.914 | 0.914 | 0.916 | 0.920 | 0.920 | 0.920 | 0.922 | 0.921 | 0.919 | |
ADI | 0.890 | 0.888 | 0.885 | 0.886 | 0.884 | 0.888 | 0.889 | 0.888 | 0.891 | 0.879 | 0.874 | |
GMCDI | 0.983 | 0.984 | 0.983 | 0.983 | 0.982 | 0.981 | 0.981 | 0.981 | 0.981 | 0.983 | 0.986 | |
GMADI | 0.966 | 0.966 | 0.966 | 0.966 | 0.966 | 0.965 | 0.964 | 0.963 | 0.962 | 0.963 | 0.963 | |
收敛型 | RD | 0.906 | 0.898 | 0.896 | 0.904 | 0.898 | 0.896 | 0.895 | 0.892 | 0.896 | 0.892 | 0.904 |
CDI | 0.928 | 0.926 | 0.928 | 0.925 | 0.923 | 0.925 | 0.924 | 0.923 | 0.924 | 0.929 | 0.927 | |
ADI | 0.880 | 0.875 | 0.871 | 0.869 | 0.872 | 0.873 | 0.880 | 0.881 | 0.884 | 0.884 | 0.880 | |
GMCDI | 0.977 | 0.977 | 0.977 | 0.977 | 0.976 | 0.976 | 0.975 | 0.974 | 0.974 | 0.971 | 0.975 | |
GMADI | 0.976 | 0.976 | 0.976 | 0.975 | 0.975 | 0.974 | 0.974 | 0.973 | 0.972 | 0.970 | 0.974 |
表5 五种组卷方法30题时的混合计分属性判准率
属性结构 | 组卷方法 | 组卷比例 | 二级计分 | 多级计分 | ||||||||
1∶9 | 2∶8 | 3∶7 | 4∶6 | 5∶5 | 6∶4 | 7∶3 | 8∶2 | 9∶1 | ||||
独立型 | RD | 0.778 | 0.768 | 0.765 | 0.764 | 0.756 | 0.762 | 0.762 | 0.756 | 0.752 | 0.762 | 0.771 |
CDI | 0.911 | 0.910 | 0.910 | 0.912 | 0.911 | 0.913 | 0.913 | 0.916 | 0.920 | 0.928 | 0.926 | |
ADI | 0.898 | 0.899 | 0.896 | 0.895 | 0.895 | 0.895 | 0.894 | 0.898 | 0.900 | 0.908 | 0.904 | |
GMCDI | 0.949 | 0.951 | 0.951 | 0.953 | 0.951 | 0.949 | 0.951 | 0.952 | 0.949 | 0.948 | 0.948 | |
GMADI | 0.934 | 0.935 | 0.935 | 0.937 | 0.938 | 0.937 | 0.936 | 0.936 | 0.934 | 0.930 | 0.932 | |
线性型 | RD | 0.944 | 0.944 | 0.940 | 0.941 | 0.940 | 0.939 | 0.938 | 0.942 | 0.939 | 0.940 | 0.945 |
CDI | 0.868 | 0.866 | 0.865 | 0.865 | 0.867 | 0.866 | 0.866 | 0.868 | 0.870 | 0.875 | 0.874 | |
ADI | 0.867 | 0.867 | 0.864 | 0.859 | 0.857 | 0.857 | 0.859 | 0.860 | 0.865 | 0.882 | 0.878 | |
GMCDI | 0.990 | 0.990 | 0.990 | 0.989 | 0.989 | 0.988 | 0.988 | 0.987 | 0.987 | 0.989 | 0.991 | |
GMADI | 0.956 | 0.956 | 0.954 | 0.952 | 0.949 | 0.949 | 0.950 | 0.952 | 0.955 | 0.964 | 0.965 | |
分支型 | RD | 0.906 | 0.908 | 0.906 | 0.899 | 0.897 | 0.900 | 0.903 | 0.899 | 0.894 | 0.900 | 0.909 |
CDI | 0.919 | 0.915 | 0.914 | 0.914 | 0.916 | 0.920 | 0.920 | 0.920 | 0.922 | 0.921 | 0.919 | |
ADI | 0.890 | 0.888 | 0.885 | 0.886 | 0.884 | 0.888 | 0.889 | 0.888 | 0.891 | 0.879 | 0.874 | |
GMCDI | 0.983 | 0.984 | 0.983 | 0.983 | 0.982 | 0.981 | 0.981 | 0.981 | 0.981 | 0.983 | 0.986 | |
GMADI | 0.966 | 0.966 | 0.966 | 0.966 | 0.966 | 0.965 | 0.964 | 0.963 | 0.962 | 0.963 | 0.963 | |
收敛型 | RD | 0.906 | 0.898 | 0.896 | 0.904 | 0.898 | 0.896 | 0.895 | 0.892 | 0.896 | 0.892 | 0.904 |
CDI | 0.928 | 0.926 | 0.928 | 0.925 | 0.923 | 0.925 | 0.924 | 0.923 | 0.924 | 0.929 | 0.927 | |
ADI | 0.880 | 0.875 | 0.871 | 0.869 | 0.872 | 0.873 | 0.880 | 0.881 | 0.884 | 0.884 | 0.880 | |
GMCDI | 0.977 | 0.977 | 0.977 | 0.977 | 0.976 | 0.976 | 0.975 | 0.974 | 0.974 | 0.971 | 0.975 | |
GMADI | 0.976 | 0.976 | 0.976 | 0.975 | 0.975 | 0.974 | 0.974 | 0.973 | 0.972 | 0.970 | 0.974 |
蔡艳, 涂冬波. 属性多级化的认知诊断模型拓展及其Q矩阵设计. 心理学报, 2015, 47 (10): 1300- 1308. | |
丁树良, 汪文义, 罗芬, 熊建华. (2016). 可达阵功能的不可替代性. 江西师范大学学报(自然科学版), 40(3), 290–294, 298. | |
丁树良, 杨淑群, 汪文义. 可达矩阵在认知诊断测验编制中的重要作用. 江西师范大学学报(自然科学版), 2010, 34 (5): 490- 494. | |
唐小娟, 丁树良, 毛萌萌, 俞宗火. 基于属性层级结构的认知诊断测验的组卷. 心理学探新, 2013, 33 (3): 252- 259. | |
涂冬波, 蔡艳, 戴海琦, 丁树良. 一种多级评分的认知诊断模型: P-DINA模型的开发. 心理学报, 2010, 42 (10): 1011- 1020. | |
汪文义, 宋丽红, 丁树良. 分类视角下认知诊断测验项目区分度指标及应用. 心理科学, 2018, 41 (2): 475- 483. | |
王立君, 赵少勇, 昌维, 唐芳, 詹沛达. (2022). 重参数化多分属性DINA模型的多级评分拓广——基于等级反应模型. 心理科学, 45(1), 195–203. | |
詹沛达, 边玉芳, 王立君. 重参数化的多分属性诊断分类模型及其判准率影响因素. 心理学报, 2016, 48 (3): 318- 330. | |
Becker, B., Debeer, D., Sachse, K. A., & Weirich, S.. Automated test assembly in R: The eatATA package. Psych, 2021, 3 (2): 96- 112.
DOI |
|
Chang, H. H., & Ying, Z. L.. A global information approach to computerized adaptive testing. Applied Psychological Measurement, 1996, 20 (3): 213- 229.
DOI |
|
Chen, J. S., & de la Torre, J.. A general cognitive diagnosis model for expert-defined polytomous attributes. Applied Psychological Measurement, 2013, 37 (6): 419- 437.
DOI |
|
Finkelman, M., Kim, W., & Roussos, L. A.. Automated test assembly for cognitive diagnosis models using a genetic algorithm. Journal of Educational Measurement, 2009, 46 (3): 273- 292.
DOI |
|
Finkelman, M. D., de la Torre, J., & Karp, J. A.. Cognitive diagnosis models and automated test assembly: An approach incorporating response times. International Journal of Testing, 2020, 20 (4): 299- 320.
DOI |
|
Finkelman, M. D., Kim, W., Roussos, L., & Verschoor, A.. A binary programming approach to automated test assembly for cognitive diagnosis models. Applied Psychological Measurement, 2010, 34 (5): 310- 326.
DOI |
|
Henson, R., & Douglas, J.. Test construction for cognitive diagnosis. Applied Psychological Measurement, 2005, 29 (4): 262- 277.
DOI |
|
Henson, R., Roussos, L., Douglas, J., & He, X. M.. Cognitive diagnostic attribute-level discrimination indices. Applied Psychological Measurement, 2008, 32 (4): 275- 288.
DOI |
|
Huebner, A., & Wang, C.. A note on comparing examinee classification methods for cognitive diagnosis models. Educational and Psychological Measurement, 2011, 71 (2): 407- 419.
DOI |
|
Kuo, B. C., Pai, H. S., & de la Torre, J.. Modified cognitive diagnostic index and modified attribute-level discrimination index for test construction. Applied Psychological Measurement, 2016, 40 (5): 315- 330.
DOI |
|
Leighton, J. P., & Gierl, M. J.. Defining and evaluating models of cognition used in educational measurement to make inferences about examinees’ thinking processes. Educational Measurement: Issues and Practice, 2007, 26 (2): 3- 16.
DOI |
|
Lin, Y., Gong, Y. J., & Zhang, J.. An adaptive ant colony optimization algorithm for constructing cognitive diagnosis tests. Applied Soft Computing, 2017, 52, 1- 13.
DOI |
|
Lin, Y., Jiang, Y. S., Gong, Y. J., Zhan, Z. H., & Zhang, J.. A discrete multiobjective particle swarm optimizer for automated assembly of parallel cognitive diagnosis tests. IEEE Transactions on Cybernetics, 2019, 49 (7): 2792- 2805.
DOI |
|
Mullis, I. V. S., Martin, M. O., Ruddock, G. J., O’Sullivan, C. Y., Christine, Y., Arora, A., & Erberber, E. (2005). Timss 2007 assessment frameworks. Boston: International Association for the Evaluation of Educational Achievement. | |
Rupp, A. A., Templin, J., & Henson, R. J. (2010). Diagnostic measurement: Theory, methods, and applications. New York: The Guilford Press. | |
von Davier, M.. A general diagnostic model applied to language testing data. British Journal of Mathematical and Statistical Psychology, 2008, 61 (2): 287- 307.
DOI |
|
von Davier, M., & Lee, Y. S. (2019). Handbook diagnostic classification models. New York: Springer. | |
Wang, S. Y., Zheng, Y., Zheng, C. J., Su, Y. H., & Li, P. Z.. An automated test assembly design for a large-scale Chinese proficiency test. Applied Psychological Measurement, 2016, 40 (3): 233- 237.
DOI |
|
Zeng, L. Y., Ding, S. L., & Gan, D. W. (2010). Test construction for cognitive diagnosis. In 2010 Asia-Pacific conference on wearable computing systems (pp. 12–15). Shenzhen: IEEE. | |
Zhan, P. D., Wang, W. C., & Wang, L. (2017). A higher-order cognitive diagnosis model for polytomous attributes and polytomous responses. Poster presented at the annual meeting of the National Council on Measurement in Education, San Antonio. |
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