Vis kilden til Sammenlikning av analyser

{| class="wikitable" style="width: 100%; background-color:#ffffff;" cellpadding="20"
| style="width: 50%" | '''SPSS''' (versjon 25) 
Funksjoner som er skrevd <span style="color:red">rød</span> er en del av <span style="color:red">SPSS Base Pack</span> ([https://www.ibm.com/products/spss-statistics/pricing 99$ / måned]) og de som er skrevd <span style="color:blue">blå</span> er en del av <span style="color:blue">SPSS Advanced Statistics and and Custom Tables</span> (79$ / måned) → 178$ / måned → 2148$ / år.
| style="width: 50%" | '''jamovi''' (versjon 1.2)
|-
|[[Fil:SPSS Analyze.png|class=cellwidth]]
|[[Fil:Jamovi Analyze.png|class=cellwidth]]
<br><br>Allerede på første syn er det klart at jamovi har få funksjoner enn SPSS.<br>Men:<br>[1] Det er en (stendig økende) del funksjoner som er tilgjengelig som moduler (trykk på «+»-tegn i høyre øvre hjørne i jamovi-vinduet for å legge dem til) og<br>[2] funksjonene som er implementert allerede dekker «standard»-behov for hva er brukt i psykologien i 90% av tilfell.<br><br>Sjekk gjerne ut hvilke [https://www.jamovi.org/library.html moduler] er tilgjengelig: Det er mange som er ikke tilgjengelig i SPSS men veldig nyttig (f.eks. for meta-analyser; MAJOR). Og hvis du er villig å bruke litt R-kode (i forbindelse med tilleggsmodul Rj) så kan du (sansynligvis) få alt du kan forestille deg.<br><div>[[Fil:Jamovi Modules.png|800px]]</div>
|-
| colspan="2"          | '''''<br>Reports'''''
|-
| style="color: red;"  | Reports → Codebook                                           || N/A
|-
| style="color: red;"  | Reports → OLAP Cubes                                         || N/A
|-
| style="color: red;"  | Reports → Case summaries                                     || Exploration → Descriptives ''har stort sett samme funksjonalitet''
|-
| style="color: red;"  | Reports → Reports Summaries in Rows                          || N/A
|-
| style="color: red;"  | Reports → Reports Summaries in Columns                       || N/A
|-
| colspan="2"          | '''''<br>Descriptive Statistics'''''
|-
| style="color: red;"  | Descriptive Statistics → Frequencies                         || rowspan="3" | Exploration → Descriptives, ''set kryss/tikk på «Frequency tables» for å få noe som tilsvarer «Frequencies» i SPSS''
|-
| style="color: red;"  | Descriptive Statistics → Descriptives                        ||
|-
| style="color: red;"  | Descriptive Statistics → Explore                             ||
|-
| style="color: red;"  | Descriptive Statistics → Crosstabs                           || Frequencies → (Contingency tables) → Independent samples
|-
| style="color: red;"  | Descriptive Statistics → Ratio                               || N/A
|-
| colspan="2"          | '''''<br>Bayesian Statistics'''''
|-
|                                                                                     ||''trenger jamovi-modul «jsq»''
|-
| style="color: blue;" | Bayesian Statistics → One Sample Normal                      || T-Test → Bayesian One Sample T-Test
|-
| style="color: blue;" | Bayesian Statistics → One Sample Binomial                    || Frequencies → Bayesian Proportion Test
|-
| style="color: blue;" | Bayesian Statistics → One Sample Poisson                     || Frequencies → Bayesian Contingency Tables
|-
| style="color: blue;" | Bayesian Statistics → Related Sample Normal                  || T-Test → Bayesian Paired Samples T-Test
|-
| style="color: blue;" | Bayesian Statistics → Independent Samples Normal             || T-Test → Bayesian Independent Samples T-Test
|-
| style="color: blue;" | Bayesian Statistics → Pearson Correlation                    || Regression → Bayesian Correlation Matrix<br>Regression → Bayesian Correlation Pairs
|-
| style="color: blue;" | Bayesian Statistics → Linear Regression                      || Regression → Bayesian Linear Regression
|-
| style="color: blue;" | Bayesian Statistics → One-way ANOVA                          || ANOVA → Bayesian ANOVA (''kan i handtere flere faktorer hvor SPSS er limitert til en faktor'')
|-
| style="color: blue;" | Bayesian Statistics → Log-Linear Models                      || Frequencies → Bayesian Log-Linear Regression
|-
| colspan="2"          | '''''<br>Compare Means'''''
|-
| style="color: red;"  | Compare Means → Means...                                     || Exploration → Descriptives ''erstatter funksjonalitet, velg rullemeny «Statistics» og set kryss på «Mean», «N» og «Std. deviation»''
|-
| style="color: red;"  | Compare Means → Independent-Samples T Test                   || T-Test → Independent Samples T-Test
|-
| style="color: red;"  | Compare Means → Paired-Samples T Test                        || T-Test → Paired Samples T-Test
|-
| style="color: red;"  | Compare Means → One-Sample T Test                            || T-Test → One Sample T-Test
|-
| style="color: red;"  | Compare Means → One-Way ANOVA                                || ANOVA → One-Way ANOVA
|-
| colspan="2"          | '''''<br>General Linear Model'''''
|-
| style="color: red;"  | General Linear Model → Univariate                            || ANOVA → One-Way ANOVA
|-
| style="color: blue;" | General Linear Model → Multivariate                          || ANOVA → MANCOVA
|-
| style="color: blue;" | General Linear Model → Repeated Measures                     || ANOVA → Repeated Measures ANOVA
|-
| style="color: blue;" | General Linear Model → Variance Components                   || N/A
|-
| colspan="2"          | '''''<br>Generalized Linear Models'''''
|-
|                                                                                     || ''trenger jamovi-modul «GAMLj» (General Analyses for the Linear Model in Jamovi)''
|-
| style="color: blue;" | Generalized Linear Models → Generalized Linear Models        ||
|-
| style="color: blue;" | Generalized Linear Models → Generalized Estimating Equations ||
|-
| colspan="2"          | '''''<br>Mixed Models'''''
|-
|                                                                                     || ''trenger jamovi-modul «GAMLj» (General Analyses for the Linear Model in Jamovi)''
|-
| style="color: blue;" | Mixed Models → Linear                                        ||
|-
| style="color: blue;" | Mixed Models → Generalized Linear                            ||
|-
| colspan="2"          | '''''<br>Correlate'''''
|-
| style="color: red;"  | Correlate → Bivariate                                        || Regression → Correlation Matrix
|-
| style="color: red;"  | Correlate → Partial                                          || N/A, ''kan bli gjennomført med R-kode og R-bibiotek [https://www.rdocumentation.org/packages/ppcor/versions/1.1/topics/ppcor-package  «ppcor»] eller [https://personality-project.org/r/html/partial.r.html «psych»]''
|-
| style="color: red;"  | Correlate → Distances                                        || N/A, ''kan bli gjennomført med [https://stat.ethz.ch/R-manual/R-devel/library/stats/html/dist.html R-kode]''
|-
| colspan="2"          | '''''<br>Regression'''''
|-
| style="color: red;"  | Regression → Automatic Linear Models                         || ''Create a standard model. → Enhance model accuracy (boosting). → Enhance model stability (bagging).''
|-
| style="color: red;"  | Regression → Linear                                          || Regression → Linear Regression
|-
| style="color: red;"  | Regression → Ordinal                                         || Regression → (Logistic Regression) → Ordinal Outcomes
|-
| style="color: red;"  | Regression → Curve Estimation                                || 
|-
| style="color: red;"  | Regression → Partial Least Squares                           ||
|-
| colspan="2"          | '''''<br>Loglinear'''''
|-
| style="color: blue;" | Loglinear → General                                          || Frequencies → Log-Linear Regression 
|-
| style="color: blue;" | Loglinear → Logit                                            ||
|-
| style="color: blue;" | Loglinear → Model Selection                                  ||
|-
| colspan="2"          | '''''<br>Classify'''''
|-
| style="color: red;"  | Classify → Nearest Neighbor                                  || N/A
|-
| style="color: red;"  | Classify → Discriminant                                      || N/A, ''kan bli gjennomført med [https://www.statmethods.net/advstats/discriminant.html R-kode] og R-bibiotek «MASS»''
|-
| style="color: red;"  | Classify → TwoStep Cluster                                   || N/A
|-
| style="color: red;"  | Classify → Hierarchical Cluster                              || N/A, ''kan bli gjennomført med [https://www.statmethods.net/advstats/cluster.html R-kode] og R-bibiotek «pvclust»''
|-
| style="color: red;"  | Classify → K-Means Cluster                                   || N/A, ''kan bli gjennomført med [https://www.statmethods.net/advstats/cluster.html R-kode]''
|-
| colspan="2"          | '''''<br>Dimension Reduction'''''
|-
| style="color: red;"  | Dimension Reduction → Factor                                 || Factor → (Data reduction) → Principal Component Analysis<br>Factor → (Data reduction) → Exploratory Factor Analysis<br>''hoveddifferanse er at «Exploratory Factor Analysis» tilbyr flere opsjoner for faktorekstraksjon''
|-
| colspan="2"          | '''''<br>Scale'''''
|-
| style="color: red;"  | Scale → Reliability Analysis                                 || Factor → (Scale analysis) → Reliability analysis
|-
| style="color: red;"  | Scale → Multidimensional Scaling                             || N/A
|-
| colspan="2"          | '''''<br>Nonparametric Tests'''''
|-
| style="color: red;"  | Nonparametric Tests → One Sample                             || N/A, ''testene selv finnes, men ikke en felles startmeny''
|-
| style="color: red;"  | Nonparametric Tests → Independent Samples                    || N/A, ''testene selv finnes, men ikke en felles startmeny''
|-
| style="color: red;"  | Nonparametric Tests → Related Samples                        || N/A, ''testene selv finnes, men ikke en felles startmeny''
|- 
| style="color: red;"  | Nonparametric Tests → Legacy Dialogs → Chi-Square            || Frequencies → (One Sample Proportion Tests) → N Outcomes (x² goodness of fit)
|-
| style="color: red;"  | Nonparametric Tests → Legacy Dialogs → Binomial              || Frequencies → (One Sample Proportion Tests) → 2 Outcomes (Binomial test)
|-
| style="color: red;"  | Nonparametric Tests → Legacy Dialogs → Runs                  || N/A
|-
| style="color: red;"  | Nonparametric Tests → Legacy Dialogs → 1-Sample K-S          || N/A, ''Shapiro-Wilks finnes under Exploration → Descriptives, velg rullemeny «Statistics» og set kryss/tikk på «Shapiro-Wilks»''
|-
| style="color: red;"  | Nonparametric Tests → Legacy Dialogs → 2 Independent Samples || T-Test → Independent Samples T-Test, ''set kryss/tikk på «Mann-Whitney U»''
|-
| style="color: red;"  | Nonparametric Tests → Legacy Dialogs → 2 Related Samples     || T-Test → Paired Samples T-Test, ''set kryss/tikk på «Wilcoxon Rank»''
|-
| style="color: red;"  | Nonparametric Tests → Legacy Dialogs → K Independent Samples || ANOVA → (Non-Parametric) → One-Way ANOVA (Kruskal-Wallis)
|-
| style="color: red;"  | Nonparametric Tests → Legacy Dialogs → K Related Samples     || ANOVA → (Non-Parametric) → Repeated Measures ANOVA (Friedman)
|-
| colspan="2"          | '''''<br>Survival'''''
|-
|                                                                                      ||''trenger jamovi-modul «Death watch»''
|-
| style="color: blue;" | Survival → Life Tables                                        ||
|-
| style="color: blue;" | Survival → Kaplan-Meier                                       ||
|-
| style="color: blue;" | Survival → Cox Regression                                     ||
|-
| style="color: blue;" | Survival → Cox w/ Time-Dep Cov                                ||
|-
| colspan="2"          | '''''<br>Multiple Response'''''
|-
| style="color: red;"  | Multiple Response → Define Variable Sets                      || N/A
|-
| style="color: red;"  | Multiple Response → Frequencies                               ||
|-
| style="color: red;"  | Multiple Response → Crosstabs                                 ||
|-
| colspan="2"          | '''''<br>ROC Curve'''''
|-
| style="color: red;"  | ROC Curve                                                     || N/A, ''accessible via R packages (f.eks., ROCR eller pROC)''
|-
| colspan="2"          | '''''<br>Simulation'''''
|-
| style="color: red;"  | Simulation                                                    || N/A
|-
| colspan="2"          | '''''<br>Spatial and Temporal Modeling'''''
|-
| style="color: red;"  | Spatial and Temporal Modeling → Spatial Modeling              || N/A
|-
|}