00-spss.Rmd

# SPSS Tutorial Videos List {-}

#### Flow chart {-}
```{r choice-diagram-copy, fig.width=9, echo=FALSE, fig.cap="Flow chart for selecting a test in SPSS."}
source("flowchart.R")
p
rm(p)
```

#### Chapter \@ref(probmodels): Probability Models: How Do I Get a Sampling Distribution? {-}

(ref:bootstrap1SPSS) Bootstrapping in SPSS.

Figure \@ref(fig:SPSSbootstrap1): (ref:bootstrap1SPSS)

(ref:bootstrap2SPSS) Interpreting bootstrap results in SPSS.

Figure \@ref(fig:SPSSbootstrap2): (ref:bootstrap2SPSS)

(ref:Exact1SPSS) Performing an exact test in SPSS.

Figure \@ref(fig:SPSSExact1): (ref:Exact1SPSS)

(ref:Exact2SPSS) Interpreting exact test results in SPSS.

Figure \@ref(fig:SPSSExact2): (ref:Exact2SPSS)

#### Chapter \@ref(param-estim): Estimating a Parameter: Which Population Values Are Plausible? {-}

(ref:conflevelSPSS) Setting the confidence level in SPSS.

Figure \@ref(fig:SPSSconflevel): (ref:conflevelSPSS)

#### Chapter \@ref(hypothesis): Testing a Null Hypothesis: Am I Right or Am I Wrong? {-}

(ref:binomialSPSS) A binomial test on a single proportion in SPSS.

Figure \@ref(fig:SPSSbinomial): (ref:binomialSPSS)

(ref:chisq1SPSS) A chi-squared test on a frequency distribution in SPSS.

Figure \@ref(fig:SPSSchisq1): (ref:chisq1SPSS)

(ref:1meanSPSS) A one-sample _t_ test in SPSS.

Figure \@ref(fig:SPSS1mean): (ref:1meanSPSS)

#### Chapter \@ref(power): Which Sample Size Do I Need? Power! {-}

(ref:cohendtitle) Obtaining Cohen's _d_ with SPSS.

Figure \@ref(fig:cohend): (ref:cohendtitle)

#### Chapter \@ref(anova): Moderation with Analysis of Variance {-}

(ref:1waySPSS) One-way analysis of variance (ANOVA) in SPSS.

Figure \@ref(fig:SPSS1way): (ref:1waySPSS)

(ref:2waySPSS) Two-way analysis of variance with moderation in SPSS.

Figure \@ref(fig:SPSS2way): (ref:2waySPSS)

(ref:eta2SPSS) Calculating eta^2^ from SPSS output.

Figure \@ref(fig:SPSSeta2): (ref:eta2SPSS)

#### Chapter \@ref(moderationcat): Regression Analysis And A Categorical Moderator {-}

(ref:regsimpleSPSS) Executing and interpreting regression analysis in SPSS.

Figure \@ref(fig:SPSSregsimple): (ref:regsimpleSPSS)

(ref:regdummy2SPSS) Creating dummy variables in SPSS.

Figure \@ref(fig:SPSSregdummy2): (ref:regdummy2SPSS)

(ref:regdummySPSS) Using dummy variables in a regression model in SPSS.

Figure \@ref(fig:SPSSregdummy): (ref:regdummySPSS)

(ref:regassumptSPSS) Checking assumptions for regression models in SPSS.

Figure \@ref(fig:SPSSregassumpt): (ref:regassumptSPSS)

(ref:regpredSPSS) Creating categorical by numerical interaction predictors for regression in SPSS.

Figure \@ref(fig:SPSSregpred): (ref:regpredSPSS)

(ref:regcatmodSPSS) Estimating categorical by numerical moderation with regression in SPSS.

Figure \@ref(fig:SPSSregcatmod): (ref:regcatmodSPSS)

(ref:regmodlinesSPSS) Representing moderation by regression lines in a scatterplot in SPSS.

Figure \@ref(fig:SPSSregmodlines): (ref:regmodlinesSPSS)

(ref:regSupport1SPSS) Checking common support for a predictor at different moderator values in SPSS.

Figure \@ref(fig:SPSSregSupport1): (ref:regSupport1SPSS)

#### Chapter \@ref(moderationcont): Regression Analysis With A Numerical Moderator {-}

(ref:regcenterSPSS) Mean-centering variables for regression analysis in SPSS.

Figure \@ref(fig:SPSSregcenter): (ref:regcenterSPSS)

(ref:reglines2SPSS) Regression lines for a numerical moderator in a scatterplot in SPSS.

Figure \@ref(fig:SPSSreglines2): (ref:reglines2SPSS)

(ref:regSupport2SPSS) Checking common support with a numerical moderator in SPSS.

Figure \@ref(fig:SPSSregSupport2): (ref:regSupport2SPSS)

#### Chapter \@ref(confounder): Regression Analysis And Confounders {-}

(ref:regconfoundSPSS) Identifying confounders with regression in SPSS.

Figure \@ref(fig:SPSSregconfound): (ref:regconfoundSPSS)

#### Chapter \@ref(mediation): Mediation with Regression Analysis {-}

(ref:mediatparSPSS) Estimating a single or parallel mediation model with PROCESS (Model 4).

Figure \@ref(fig:SPSSmediatpar): (ref:mediatparSPSS)

(ref:mediatserialSPSS) Estimating a serial mediation model with PROCESS (Model 6).

Figure \@ref(fig:SPSSmediatserial): (ref:mediatserialSPSS)

(ref:mediatcovSPSS) Estimating a mediation model including covariates with PROCESS.

Figure \@ref(fig:SPSSmediatcov): (ref:mediatcovSPSS)

(ref:pathSPSS) Estimating a path model in SPSS.

Figure \@ref(fig:SPSSpath): (ref:pathSPSS)

#### Appendix: Test Overview {-}

(ref:SPSSLevene) Levene's _F_ test on equal variances in SPSS.

Figure \@ref(fig:SPSSLevene): (ref:SPSSLevene)

(ref:SPSSTindep) Independent samples _t_ test on two means.

Figure \@ref(fig:SPSSTindep): (ref:SPSSTindep)

(ref:SPSSTpaired) Paired samples _t_ test on two means.

Figure \@ref(fig:SPSSTpaired): (ref:SPSSTpaired)

(ref:SPSScorrelation) Test on a correlation.

Figure \@ref(fig:SPSScorrelation): (ref:SPSScorrelation)

(ref:SPSSchisqcross) Chi-squared test on a contingency table (crosstab).

Figure \@ref(fig:SPSSchisqcross): (ref:SPSSchisqcross)