# Analyzing Data

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+ | How to conduct statistical tests... | ||

+ | *[[How do I choose the appropriate statistical test for my data?]] | ||

+ | *[[How do I create dummy variables?]] | ||

+ | *[[How do I control for familywise error?]] | ||

+ | *[[Meta-analysis|How do I conduct a meta-analysis?]] | ||

+ | *[[Other questions about meta-analyses?]] | ||

+ | *[[Mediation|How do I conduct meditational analysis?]] | ||

+ | '''How to test interactions?''' | ||

+ | *[[What is an Interaction?]] | ||

+ | *[[Interaction between two continuous variables]] | ||

+ | *[[Interaction between categorical and continuous variables]] | ||

+ | '''How to transform continuous into categorical variables''' | ||

+ | *[[Why transform continuous variables into categorical variables?]] | ||

+ | *[[How to dichotomize variables?]] | ||

+ | *[[Why cut into thirds or fourths instead of dichotomizing?]] | ||

+ | '''How to create composites''' | ||

+ | *[[How do I create a composite of items?]] | ||

+ | *[[Why create a composite of items?]] | ||

+ | *[[How do I know when it is appropriate to create a composite?]] | ||

+ | *[[How do I create a composite with items with different scale ranges?]] | ||

+ | *[[How do I create a composite with items labeled in opposite directions?]] | ||

+ | '''How to detect and deal with outliers''' | ||

+ | * [[What are outliers?]] | ||

+ | * [[Should I check for outliers?]] | ||

+ | * [[How can I tell if outliers are influencing my data?]] | ||

+ | * [[Detecting Outliers - Univariate | How do I detect univariate outliers in my data?]] | ||

+ | * [[Detecting Outliers - Multivariate | How do I detect bivariate and multivariate outliers in my data?]] | ||

+ | * [[Dealing with Outliers | How do I deal with outliers?]] | ||

- | + | |Column2= | |

- | * [[ | + | Other types of practical questions... |

- | * [[ | + | *[[When to use a one-tailed versus two-tailed test?]] |

- | * [[ | + | *[[When to use univariate versus multivariate statistics?]] |

- | * [[ | + | *[[If my correlational data is not linear, what do I do?]] |

- | * [[ | + | *[[General tips|What are some overall tips/tricks when analyzing data?]] |

+ | *[[What is considered marginally significant?]] | ||

+ | *[[What is the difference between descriptive and inferential statistics?]] | ||

+ | *[[What is the difference between a type I and type II error?]] | ||

+ | *[[How is a correlation different than a partial correlation?]] | ||

+ | *[[What are the criticisms of hypothesis testing?]] | ||

+ | *[[What is the purpose of graphing a scatterplot?]] | ||

+ | *[[Computational Modeling|Why would you want to use a computational model?]] | ||

+ | *[[What is a scatterplot?|What is the purpose of graphing a scatterplot?]] | ||

+ | *[[What is linearity?|Why is linearity important?]] | ||

+ | *[[Want help using SPSS?]] | ||

+ | *[[What is "syntax" in SPSS?|Why use syntax in SPSS?]] | ||

- | + | '''Data Screening''' | |

* [[Purpose of Data Screening | What is the purpose of data screening/cleaning?]] | * [[Purpose of Data Screening | What is the purpose of data screening/cleaning?]] | ||

- | * [[Data cleaning | | + | * [[Data cleaning | What are the best tips/tricks for data cleaning?]] |

- | * [[Checking Data Entry]] | + | * [[Checking Data Entry|How to check for data entry errors?]] |

- | + | '''Missing Values''' | |

- | + | * [[Missing Values | Why do missing values occur?]] | |

- | + | * [[Problem of Missing Data | Why is missing data a problem?]] | |

- | + | * [[Identifying Missing Data | How do I identify if missing values are random or non-random?]] | |

- | + | * [[Dealing with Missing Data | How do I deal with missing data?]] | |

- | + | '''Normality''' | |

- | + | * [[What is "normality"?]] <br> | |

- | + | * [[Why is normality important?]] <br> | |

- | + | * [[How do I determine whether my data are normal?]] <br> | |

- | + | * [[How do I deal with non-normality?]] <br> | |

- | + | * [[How do I transform variables?]] <br> | |

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## Latest revision as of 02:50, 22 November 2016

^{Statistically analyzing and interpreting your collected data}

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