BILOG-MG 3 項目反應測試軟體
使用這個Windows版本的BILOG-MG，舊版BILOG for Windows產品已經過時了。BILOG-MG-3具有BILOG的所有功能，加上差分項功能（DIF），項目參數漂移，等效和非等效組等同，垂直等同，兩階段測試，組均值估計，標準偏差和潛在分佈。
以前僅作為DOS軟件提供，BILOG-MG已更新到當前的Windows操作系統：98，NT，2000，ME和XP。增加了廣泛的在線幫助，幾乎完全涵蓋了新編輯的書籍，該書籍將所有四個程序合併為一個卷。
可以在整個在線幫助系統和新手冊中找到帶註釋的程序輸入和輸出。
圖形模塊將項目特徵曲線，項目信息曲線和測試信息曲線添加到BILOG-MG。
這些圖可以保存在Windows圖元文件格式（WMF）中，然後可以輕鬆地包含在MS Word等應用程序中。
雖然程序是命令驅動的（通過使用包含的編輯器創建命令文件來指定分析），但BILOG-MG具有對話框用戶界面，以幫助初次使用者或偶爾用戶編寫這樣的命令文件。
BILOG-MG在一次分析中處理多個組，多個子測試和多個測試表單，它包括簡化的表單規範。正常和經驗潛在分佈都可以由用戶指定。尺度分數的貝葉斯估計可以使用特定於組或全局的先驗來完成。它通過表格和測試計算信息曲線和統計數據。用戶可以對任何任意選擇的項子集執行類似的計算。
BILOG-MG的一些特點3
- 圖形用戶界面
- 二元項目的有效分析，包括正確，錯誤，省略或未呈現的多項選擇或簡答題項目
- 能夠進行大規模的生產分析，並處理多個組
- 對任意數量的子測試或分量表執行項目分析和評分
- 非等價群體等同於
- 測試形式的垂直等同
- 差異項目功能（DIF）
- 隨時間推移檢測和校正參數趨勢（DRIFT）
- 在兩階段測試程序中校準和評分測試
- 估計潛在能力或熟練度分佈
- 提供插入測試中的項目以估計項目統計數據，但不包括在考生成績的計算中（“變體項目”）
- 項目擬合統計
- 理論和經驗可靠性
- 推定測試表的信息曲線和可靠性
- 推定測試表的信息曲線和可靠性
- 詳細的在線幫助文檔
- 包括完整用戶手冊的PDF文件
系統要求
Windows 95,98，NT，ME，2000，XP
With this Windows version of BILOG-MG, the older BILOG for Windows product becomes obsolete. BILOG-MG-3 has all the functions of BILOG, plus Differential Item Functioning (DIF), Item Parameter Drift, equivalent and non-equivalent groups equating, vertical equating, two-stage testing, estimation of group means, standard deviations, and latent distributions.
Previously only available as DOS software, BILOG-MG has been updated to the current Windows operating systems: 98, NT, 2000, ME, and XP. Extensive online Help has been added, covering almost completely the newly edited book that combines all four programs in one volume.
Annotated program input and output can be found throughout the online Help system and the new manual.
A graphic module adds item characteristic curves, item information curves, and test information curves to BILOG-MG.
The plots may be saved in the Windows Metafile format (WMF) and are then easily included in applications such as MS Word.
Although the programs are command driven (an analysis is specified by creating a command file with the included editor), BILOG-MG features a dialog-box user interface to assist first-time users or occasional users with writing such a command file.
BILOG-MG handles multiple groups, multiple subtests, and multiple test forms in one analysis, and it includes a simplified forms specification. Both normal and empirical latent distributions can be specified by the user. Bayes estimation of scale scores can be done with a group-specific or global prior. It computes information curves and statistics by form as well as by test. The user can perform similar computations for any arbitrarily selected subset of items. The numerous examples include a folder with all the original BILOG examples and their equivalent command files for BILOG-MG.
Some Features of BILOG-MG 3
- Graphical user interface
- Efficient analysis of binary items including multiple-choice or short-answer items scored right, wrong, omitted, or not-presented
- Capable of large-scale production analysis, and handling of multiple groups
- Performs item analysis and scoring of any number of subtests or subscales
- Non-equivalent groups equating
- Vertical equating of test forms
- Differential item functioning (DIF)
- Detection and correction for parameter trends over time (DRIFT)
- Calibration and scoring of tests in two-stage testing procedures
- Estimation of latent ability or proficiency distributions
- Provision for items inserted in tests to estimate item statistics, but not included in calculation of examinee scores ("variant items")
- Item fit statistics
- Theoretical and empirical reliability
- Information curves and reliabilities for putative test forms
- Presentation quality IRT graphics, can be imported into Word, Access, etc.
- Detailed online HELP document
- Includes a PDF file of a complete user’s manual
System Requirements
Windows 95, 98, NT, ME, 2000, XP
With this Windows version of BILOG-MG, the older BILOG for Windows product becomes obsolete. BILOG-MG-3 has all the functions of BILOG, plus Differential Item Functioning (DIF), Item Parameter Drift, equivalent and non-equivalent groups equating, vertical equating, two-stage testing, estimation of group means, standard deviations, and latent distributions.
Previously only available as DOS software, BILOG-MG has been updated to the current Windows operating systems: 98, NT, 2000, ME, and XP. Extensive online Help has been added, covering almost completely the newly edited book that combines all four programs in one volume.
Annotated program input and output can be found throughout the online Help system and the new manual.
A graphic module adds item characteristic curves, item information curves, and test information curves to BILOG-MG.
The plots may be saved in the Windows Metafile format (WMF) and are then easily included in applications such as MS Word.
Although the programs are command driven (an analysis is specified by creating a command file with the included editor), BILOG-MG features a dialog-box user interface to assist first-time users or occasional users with writing such a command file.
BILOG-MG handles multiple groups, multiple subtests, and multiple test forms in one analysis, and it includes a simplified forms specification. Both normal and empirical latent distributions can be specified by the user. Bayes estimation of scale scores can be done with a group-specific or global prior. It computes information curves and statistics by form as well as by test. The user can perform similar computations for any arbitrarily selected subset of items. The numerous examples include a folder with all the original BILOG examples and their equivalent command files for BILOG-MG.
Some Features of BILOG-MG 3
- Graphical user interface
- Efficient analysis of binary items including multiple-choice or short-answer items scored right, wrong, omitted, or not-presented
- Capable of large-scale production analysis, and handling of multiple groups
- Performs item analysis and scoring of any number of subtests or subscales
- Non-equivalent groups equating
- Vertical equating of test forms
- Differential item functioning (DIF)
- Detection and correction for parameter trends over time (DRIFT)
- Calibration and scoring of tests in two-stage testing procedures
- Estimation of latent ability or proficiency distributions
- Provision for items inserted in tests to estimate item statistics, but not included in calculation of examinee scores ("variant items")
- Item fit statistics
- Theoretical and empirical reliability
- Information curves and reliabilities for putative test forms
- Presentation quality IRT graphics, can be imported into Word, Access, etc.
- Detailed online HELP document
- Includes a PDF file of a complete user’s manual
System Requirements
Windows 95, 98, NT, ME, 2000, XP