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The original SPSS manual (Nie, Bent & Hull, 1970) [9] has been described as one of "sociology's most influential books" for allowing ordinary researchers to do their own statistical analysis. [10] In addition to statistical analysis, data management (case selection, file reshaping and creating derived data) and data documentation (a metadata ...
SPSS tabular data (binary) PSPP, SPSS: SB: Scratch project Scratch: SB2: Scratch 2.0 project Scratch: SB3: Scratch 3.0 project Scratch: SBH: Header ScriptBasic SBV: Superbase RDBMS form definition data Superbase (database) SBX: For experimental extensions to Scratch: Used by scratchX (scratchx.org) SCALA: Scala source code file Scala ...
"A Short Preview of Free Statistical Software Packages for Teaching Statistics to Industrial Technology Majors" (PDF). Journal of Industrial Technology . 21 (2).
The interface is point-and-click, and all functionality is delivered through wizard-style interfaces that are based on different workflows or analysis goals, such as pilot testing or equating. IATA reads and writes csv, Excel and SPSS file formats, and produces exportable graphics for all statistical analyses.
Suppose there are m regression equations = +, =, …,. Here i represents the equation number, r = 1, …, R is the individual observation, and we are taking the transpose of the column vector.
For quantitative analysis, data is coded usually into measured and recorded as nominal or ordinal variables.. Questionnaire data can be pre-coded (process of assigning codes to expected answers on designed questionnaire), field-coded (process of assigning codes as soon as data is available, usually during fieldwork), post-coded (coding of open questions on completed questionnaires) or office ...
SigmaPlot is a proprietary software package for scientific graphing and data analysis.It runs on Microsoft Windows. [1]The software can read multiple formats, such as Microsoft Excel spreadsheets, and can also perform mathematical transforms and statistical analyses.
In a scientific study, post hoc analysis (from Latin post hoc, "after this") consists of statistical analyses that were specified after the data were seen. [1] [2] They are usually used to uncover specific differences between three or more group means when an analysis of variance (ANOVA) test is significant. [3]