SPSS ExplainedRoutledge, 2004. gada 1. dec. - 400 lappuses Provides the student with all that they need to undertake statistical analysis using SPSS, guiding them from the basic rationale behind the statistics, through detailed explanations of the procedures, to all aspects of the SPSS output. |
Saturs
Introduction | 1 |
3 | 23 |
Frequency command | 25 |
illustrative statistics | 39 |
Graphs for data with a repeated measures design | 55 |
Editing graphs SPSS version 12 | 70 |
Split file command | 83 |
Things to consider before analysing your data | 97 |
Calculation of simple main effects two factor mixed design analysis of variance | 234 |
Introduction to multivariate | 241 |
Repeated measures multivariate analysis of variance | 250 |
Onefactor analysis of variance | 261 |
Descriptive statistics | 265 |
Friedman test for related samples | 267 |
Crosstabulation and chisquare | 273 |
layered 2 x 3 crosstabulation and chisquare | 286 |
Concerns about significance testing | 98 |
The paired samples t test | 114 |
Wilcoxon signedranks test for related samples | 130 |
The general linear model | 143 |
Contrasts and multiple pairwise comparisons | 156 |
Data entry | 165 |
One factor repeated measures analysis of variance | 187 |
Two factor analysis of variance | 201 |
Two factor repeated measures analysis of variance | 210 |
Two factor mixed design analysis of variance | 221 |
Linear correlation and regression | 295 |
Introduction to the Kendall taub correlation | 304 |
Scatterplot procedure SPSS version 12 | 310 |
Introduction to scatterplots through the Interactive command | 317 |
Introduction to multiple regression | 321 |
Introduction to descriptive statistics | 326 |
Introduction to factor analysis | 339 |
Data entry | 344 |
| 375 | |
Citi izdevumi - Skatīt visu
SPSS Explained Perry Hinton, Dr,Perry R. Hinton,Isabella McMurray,Charlotte Brownlow Ierobežota priekšskatīšana - 2004 |
Bieži izmantoti vārdi un frāzes
analysis ANOVA appear Assumed assumption calculated Cancel Change Chapter chart chi-square choose Click coefficient column command Compare comparisons confidence interval Continue Contrasts correct correlation Count dataset dependent variable Descriptive Statistics Deviation difference Display distribution Editor effect entered equal error estimate Exam examine example expect experien explain factor female File frequency gender gives Graphs groups Help hypothesis independent independent measures indicates interaction labels letter Linear Model look main effects male Maths mean method Missing multiple Nonparametric normally novice Options output participants perform Plots population post hoc prediction probability procedure produced ranks ratings referred regression repeated measures Reports samples scale Science scores separate shown shows significant simple sphericity SPSS advanced SPSS essential Square standard Summaries test statistic Type variance View week Window workers