1、1% of cases 个案数的%1/square root 1/平方根2 log-likelihood -2*对数似然值2-D dot plot 二维点图2-stage least squares regression二阶段最小二乘回归3-D area 三维面积图3-D bar charts 三维条形图3-D density 三维密度图3-D histogram 三维直方图3-D pie 三维饼图3-D scatterplot 三维散点图4th 四次项5% trimmed mean 5%调整均值5th 五次项95% confidence interval 95%置信区间95% confide
2、nce interval 回归系数的 95%置信区间AAAD, Average absolute deviation 平均绝对偏差above 上方above categories to which they apply上述类别中它们适用的类别absent 不存在absolute value below 排除小于绝对值如下absolute values 绝对值across all sources simultaneously同时跨所有源active dataset 活动数据集active dataset is keyed table 活动数据集为基于关键字的表actual % outside s
3、pecification limits实际%外部规格限制actual category probability 实际类别概率add a file 添加一个文件add aggregated variables to active dataset将汇总变量添加到活动数据集add cases 添加个案add category 添加类别add subtotal 添加小计add to file 添加至文件add variables 添加变量additive 加法additive patch 可加修补adjust p-values for multiple 为多重比较调整 P值comparisons (B
4、onferroni method)（Bonferroni 方法）adjusted 调节adjusted predicted value 调整预测值Adjusted R2 调整 R2adjusted residual 调整残差adjusted residuals plot 调整残差图adjusted standardized 调整标准化（残差）agglomeration schedule 合并进程表aggregate 分类汇总aggregate data 汇总数据aggregate function 汇总函数aggregate variable(s) 汇总变量Akaike information
5、 criterion ,AICAkaike信息准则algorithms 算法align 对齐alignment within margins 对齐all 2-way 所有二阶all 3-way 所有三阶all 4-way 所有四阶all 5-way 所有五阶all breaks in first column 所有分组都在第一列中all cases 全部个案all categories equal 所有类别相等all clusters 所有聚类all groups equal 所有组相等all models 所有模型all points equal 所有点相等all possible sign
6、 patterns 所有可能符号模式all sources 所有源all variables multiple nominal 所有变量为多重标称allow negative subject weights 允许负主题权重alpha factoring 因子分解alphabetical 字母顺序an external PASW Statistics data file外部 PASW Statistics 数据文件an open dataset 打开的数据集Analysis of covariance, ANCOVA/MANCOVA协方差分析analysis of variance, ANOVA
7、 方差分析analysis variables 分析变量analysis-of-variance table ，ANOVA table方差分析表2analyze 分析analyze all cases, do not create groups分析所有个案，不创建组analyze patterns 分析模式anchor first bin 定位第一个块Anderbergs D Anderberg D值Anderson-Rubin Anderson-Rubin法Andrews wave estimator Andrews波动估计值ANOVA table and eta ANOVA表与 etaan
8、ti-image 反影像anti-image correlation matrix 反影像相关矩阵anti-image covariance matrix 反影像协方差矩阵apply template from 从文件应用模板apply to all 应用到全部apply transformations 应用转换approx. chi-square 近似 2approximately % of all cases 大约 所有个案的%approximations 近似值area charts 面积图area represents 面积的表征ARIMA 综合自回归移动平均模型ARIMA model
9、 ARIMA模型ARIMA model parameters ARIMA模型参数ARIMA models only 仅限 ARIMA模型ARIMA orders for dependent variables因变量的 ARIMA阶数arithmetic difference 算术差值arithmetic function 算术函数arithmetic label 算术标签ascending 升序ascending counts 按计数升序排序ascending means 按均值升序排序ascending values 按值升序排序assign rank 1 to 将秩 1指定给associa
10、tion table 相关表assumed standardized 已标准化的计数asymptotic 95% confidence interval渐近 95% 置信区间asymptotic correlation and covariance matrices渐进相关与协方差矩阵asymptotic correlation matrix of parameter estimates参数估计值的渐进相关系数矩阵asymptotic correlation of 参数估计值的渐进相parameter estimates 关性asymptotic correlations 渐进相关asympt
11、otic covariance and correlation matrix渐进协方差与相关系数矩阵asymptotic covariance matrix 渐近协方差矩阵asymptotic covariance of parameter estimates参数估计的渐进协方差asymptotic covariances 渐进协方差asymptotic only 仅渐进法asymptotic standard error 渐进标准误at each step 在每个步骤中at last step 在最后一个步骤中auto-clustering 自动聚类autocorrelation funct
12、ion, ACF 自相关函数autocorrelations 自相关auto-fill 自动填充automatic 自动automatic data preparation 自动数据准备automatic labels 自动标签automatic recode 自动重新编码automatically align vertically 自动垂直对齐autoregressive integrated moving average自回归集成滑动平均autoregressive，p 自回归available 可用average absolute deviation AAD（平均绝对偏差）average
13、 stress 平均应力Bbacktransform scores 逆转换得分backward elimination 向后去除backward stepwise 向后步进bar chart 条形图bar of counts 计数条形图bar pair represents 条对表征bars represent 条表征Bartlett Bartlett法Bartletts approximation Bartlett的近似值Bartletts Test of Sphericity Bartlett球形度检验based on eigenvalue 基于特征值based on time or ca
14、se range 基于时间或个案全距begin new page & reset page number开始新页并重新设置页数begin next page 开始下一页below 下方below categories to which they 以下类别中它们适用3apply 的类别best-fitting models 最佳拟合模型beta 分布between cases 个案间between groups 组间between variables 变量间between-groups linkage 组间联接，类间平均法between-subject factors 组间因素between-s
15、ubjects model 群体间模型bias corrected accelerated, BCa 偏差修正加速bin sizes 块大小binary logistic regression 二值 logistic 回归binary measure 二分类度量bi-negative exponential 双负指数binned scatterplot 离散化散点图binned variable 离散的变量binomial distribution 二项式分布binomial test 二项式检验biplot 双标图biplot and triplot variables 双标图和三标图变量b
16、iplot variables 双标图变量bivariate correlation 双变量相关分析blank 空blank lines before summaries n 摘要前的空行block 块blom Blom法Bonferroni，LSDMCD 修正最小显著差异法bootstrap estimates of standard error标准误的 Bootstrap估计（标准误自助估计）both files provide cases 两个文件都提供个案bottom 底端boxplot 箱图Boxs M Box M统计量Boxs M test Box M检验Boxs test of
17、equality of covariance matrices协方差矩阵齐性的Box检验Bray-Curtis nonnumeric coefficientBray-Curtis非量度系数break columns 分组列break columns variables 终止列变量，分组列变量break format for 中断格式break options for 中断选项break ties arbitrarily 强制打开结break variable(s) 分组变量Breslow Breslow检验Browns exponential smoothing Brown 指数平滑法Brow
18、ns linear trend Brown 线性趋势bubble plot 泡泡图build term(s) 构建项Cc, u control chart 缺陷数、单位缺陷数控制图cache data 缓存数据calculate from data 从数据中计算canonical correlation 典型相关系数canonical discriminant function coefficients典型判别式函数系数capability sigma 容量 caption 题注case labels 个案标签case number of sign pattern to use要使用的符号模式
19、个案号case processing summary 个案处理摘要case studies 个案研究case summaries 个案汇总case to treat as supplementary 视为补充的个案cases are 个案为cases are subgroups 个案为子组cases scanned 已扫描个案casewise diagnostics 个案诊断casewise listing of residuals 个案残差列表casewise results 个案结果categorical 分类资料categorical covariates 分类协变量categorica
20、l principal components analysis，CATPCA分类主成分分析categorical regression，CATREG 分类回归categorical variables 分类变量categories and total 分类和总计categories must be equal 类别必须相等category 类别category axis 类别轴category centroids 类别质心category centroids plot 类别质心图category constraints 类别约束category coordinates 类别坐标category
21、 coordinates plot 类别坐标图4category is supplemental 类别为补充型category order 类别顺序category plots 类别图category position 类别位置category quantifications 类别量化category quantifications and contributions类别量化和贡献category range for row variable 行变量的分类全距cell covariate(s) 单元协变量cell display 单元显示cell information 单元格信息cell p
22、ercentages 单元格百分比cell probabilities 单元格可能性cell statistics 单元格统计量cell structure 单元结构cell weights 单元格权重censored 截尾censored data，cen 截尾数据center 居中centered leverage value 居中杠杆值centered moving average 中心移动平均centered within column 在列中居中centimeters 厘米central tendency 集中趋势central tendency and dispersion 集中趋
23、势和离散centroid clustering 质心聚类法，重心距离法centroid coordinate 按质心坐标centroids 质心CF tree tuning criteria CF树调节准则change contrast 更改对比change in R2 R2改变量change sign 更改符号change value 更改值chart builder 图表构建程序chart type 图表类型chart values 图表值charts 图表check separation of data points from iteration从迭代中检查数据点分离情况chi-squa
24、re 2chi-square measure 2统计量度量chi-square or t-test of significance显著性 2检验或 t检验chi-square statistic 2 统计量chi-square test 2检验，卡方检验classical MDS，CMDS 古典多维尺度分析classification cutoff 分类标准值classification function coefficients分类函数系数classification plots 分类图classification results 分类结果classification table 分类表cl
25、assify 分类，分类分析clear 清除close 关闭cluster analysis 聚类分析cluster centers 聚类中心cluster features tree，CFT 聚类特征树cluster frequencies 聚类频率cluster information for each case每个个案的聚类信息cluster membership 聚类成员cluster model update 聚类模型更新cluster pie chart 聚类饼图clustered bar chart 复式条形图clustered boxplot 复式箱图clustered err
26、or bar 复式误差条图clustered high-low-close chart 复式高低收盘图clustered range bar 群集范围栏clustered range bar chart 复式极差图clustering criterion 聚类准则Cochran chi-square Cochran 2Cochran test Cochran 检验Cochrans Q test Cochran Q检验Cochrans and Mantel-Haenszel statisticCochrans与 Mantel-Haenszel统计量codebook 代码本coefficient
27、alpha 系数coefficient alpha for each half 每半 系数coefficient correlations 系数相关性coefficient display format 系数显示格式coefficient of concordance 一致性系数coefficient of dispersion, COD 离散系数，CODcoefficient statistics 系数统计coefficient total 系数总计coefficients 系数cohens kappa Cohen 系数col/row/layer count % (base: respons
28、es)列/行/层计数 %（基数：响应）5col/row/layer responses % 列/行/层响应 %col/row/layer responses % (base: count)列/行/层响应 %（基数：计数）collinearity diagnostics 共线性诊断column content 列内容column labels in rows 行中的列标签column means are removed 列均值已剔除column percentages 列百分比column point plot 列点图column points 列点column principal 主要列col
29、umn profiles 列简要表，列轮廓表column title justification 列标题调整column title 列标题column totals are equalized and means are removed使列总和相等，删除均值column width 列宽columns 列columns variables 列变量comma 逗号command syntax reference 指令语法参考common space 公共空间common space coordinates 公共空间坐标common space scatterplot 公共空间散点图common
30、 variance 公共方差communality 公因子方差compact view 压缩视图compare column means (t-tests) 比较列平均值（t 检验）compare column proportions (z-tests)比较列比例（z 检验）compare factor 比较因子compare factor levels 比较因子水平compare groups 比较组compare levels of first factor 比较第一个因子水平compare main effects 比较主效应compare means 比较均值compare varia
31、bles 比较变量comparisons are exact 比较是精确的comparisons for control variable控制变量的比较comparisons of column means 列均值的比较complementary log-log 补充对数-对数complete 完全complete data 完全数据complex sample 复杂抽样complex sample plan 复杂抽样计划component covariation 成分共变component loading 成分载荷component loadings plot 成分载荷图component
32、matrix 成分矩阵component plot in rotated space 旋转空间成分图component score coefficient matrix成分得分系数矩阵compound 复合compute counts from data 从数据计算计数compute distances 计算距离compute from group sizes 根据组大小计算compute variable 计算变量computing time-dependent covariates计算依时协变量concentration index 集中指数conditionality 条件性confid
33、ence interval 置信区间confidence interval adjustment 置信区间调节confidence interval for exp(B) 优势比估计值的置信区间confidence interval for mean 均值置信区间confidence interval for the mean均值置信区间confidence interval percentage 置信区间百分比confidence interval width (%) 置信区间宽度(%)confidence intervals for fit values拟合值的置信区间confidence
34、 intervals for forecasts预测值的置信区间confidence level 置信水平confidence statistic 置信统计量configuration 配置confusion matrix 混乱矩阵connect 连接connect cases between variables 连接变量之间的个案contingency coefficient 相依系数，列联系数continuous variables 连续变量contrast coefficient matrix 对比系数矩阵contrasts 对比contrasts variable(s) 对比变量con
35、tribution of dimension to inertia of point维数对点惯量的贡献率control chart 控制图6control package test 控制包装检验control rules 控制规则converge to lerance 收敛容限度convergence 收敛性convergence criterion 收敛性标准conversion function 转换函数convert numeric strings to numbers将数值字符串转换为数值Cooks distance Cook 距离coordinate 坐标coordinate of
36、the common space 公共空间坐标coordinate points of the ROC CurveROC曲线坐标点copy 复制copy bins 复制块copy data properties 复制数据属性copy dataset 复制数据集copy properties 复制属性copy selected cases to a new dataset将选定个案复制到新数据集corner 角注corrected item-total correlation校正的项总计相关性correlate 相关correlation between variables 变量间相关系数cor
37、relation coefficients 相关系数correlation matrix 相关性矩阵correlation matrix of parameter estimates参数估计的相关性矩阵correlation of estimates 估计值的相关性correlations 相关性correlations and tolerance 相关性和容差correlations between transformed predictors转换预测值的相关系数Correlations between untransformed predictors未转换预测值的相关系数correlati
38、ons of original and transformed variables原始变量和转换后变量的相关性correlations of original variables原始变量的相关性correlations of transformed variables转换变量的相关性correlations original variables 初始变量的相关系数correlations transformed variables已转换变量的相关系数correspondence analysis 对应分析correspondence measure 对应度量correspondence tab
39、le 对应表cosine 余弦cospectral density 余谱密度图count 计数count duplicate responses for multiple category sets计算多个类别集中的重复响应count occurrences of values within cases计算个案内值出现次数count of continuous variables 连续变量计数count values within cases 对个案内的值计数counted value 计数值counts measure 计数度量counts or sums for groups of cas
40、es个案组的计数或和covariance 协方差covariance matrix 协方差矩阵covariance ratio 协方差比率covariances 协方差covariate patterns defined by factors and covariates由因子和协变量定义的协变量模式covariate patterns defined by variable list below由下面的变量列表定义的协变量模式covariate values plotted at 协变量值的位置covariates 协变量Cox regression Cox回归Cox w/Time-Dep
41、cov Cox依时协变量Cramers V Cramer V值create a new dataset containing only the aggregated variables创建只包含汇总变量的新数据集create approximations 创建近似值create cluster membership variable创建聚类成员变量create coefficient statistics 创建系数统计create discretized data 创建离散化数据create distance matrix 创建距离矩阵create distances from data 从数
42、据创建距离create extension bundles 创建扩展束create measure from data 从数据中创建度量create new dataset 创建新数据集create object scores 创建对象得分create proximities from data 从数据中创建近似值create time series 创建时间序列create transformed variables 创建已转换的变量7create variables 创建变量criteria 标准Cronbachs alpha if item deleted项已删除的 Cronbach 值
43、cross amplitude 交叉振幅图cross-correlation function, CCF 交叉相关函数cross-correlations 交叉相关图cross-over design 交叉设计cross-product deviations and covarances叉积偏差和协方差cross-product of deviations 叉积离差阵crosstabs 列联（交叉）分析crossvalidation 交叉验证cubic 立方，三次曲线模型cum hazard 累积危险率cum. % of cases 累积%cum. n 累积个数cum. number of c
44、ases 个案的累积个数cum. percentage of cases 个案的累积百分比cumulative % 累积贡献率cumulative distribution function，CDF累积分布函数cumulative events 累积事件cumulative hazard function 累积危险度函数cumulative percentage 累积百分数cumulative proportion surviving 累积生存率cumulative proportion surviving at the time此时生存的累积比例cumulative sum 累计求和cumu
45、lative survival 累积生存率current date/time function 当前日期/时间函数current periodicity 当前周期current status 当前状态current variable 当前变量curve estimation 曲线参数估计法custom 设定，自定义模型custom attributes 自定义属性custom configuration 设定配置custom currency 设定货币custom dialog builder 自定义对话框构建程序custom dialogs 定制对话框custom tables 设定表格cu
46、stom/stepwise 设定/步进式customize variable view 自定义变量视图cut 剪切cut point 割点cut points for n equal groups 割点 n相等组Ddamped exponential smoothing 阻尼指数平滑法damped trend 阻尼趋势data 数据data are already sorted 数据已经排序data are distances 数据为距离数据data cell appearance 数据单元格外观data column rows & break labels 数据列行与分组标注data col
47、umn variables 数据列变量data file 数据文件data file comments 数据文件注释data format 数据格式data in charts are 图表中的数据为data matrix 数据矩阵data organization 数据组织data reduction 数据简化data view 数据视图dataset name 数据集名称date 日期date and time wizard 日期和时间向导date arithmetic function 日期计算函数date creation function 日期创建函数date extraction
48、function 日期提取函数decimal 小数decision trees 决策树default 缺省值define 定义define clusters by 定义聚类define dates 定义日期define dichotomy 定义二分法define event 定义事件define events for status variable为状态变量定义事件define groups 定义组define multiple response sets 定义多重响应数据集define parameter constraint 定义参数约束define population pyramid
49、定义人口金字塔define range 定义范围define range for factor 定义因子范围define rules 定义规则define selection rule 定义选择规则define simple dot plot 定义简单点图8define slices by 定义分区define stacked by 定义堆栈define subpopulations 定义子总体define validation rules 定义验证规则define variable properties 定义变量属性define variable sets 定义变量集degree 度delete all cutpoints 删除所有分割点delete all labels 删除所有标签delete row 删除行delete unselected cases 删除未选定个案deleted 删除deleted residual 删除残差delta 值dendrogram 分类树状图denominator 分母density 密度dependent list 因变量列表dependent variable 因变量dependent variable transformation因变量转换dep
