This is a summary of the book "Discovering statistics using IBM SPSS statistics" by A. Field. In this summary, everything students at the second year of psychology at the Uva will need is present. The content needed in the thirst three blocks are already online, and the rest will be uploaded soon.
Statistics
Chapter 1
Why is my evil lecturer forcing me to learn statistics?
Initial observation:
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Chapter 2
The spine of statistics
What is the spine of statistics?
The spine of statistics: (an acronym for)
Statistics
Chapter 6
The beast of bias
Bias: the summary information is at odds with
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Chapter 7
Non-parametric models
Statistics
Chapter 10
Comparing two means
Categorical predictors in the linear model
If we want to compare differences between the means of two groups, all we are doing is predicting an outcome based on membership of two groups.
This is a linear model with one dichotomous predictor.
Statistics
Chapter 11
Moderation, mediation, and multi-category predictors
The conceptual
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Chapter 13
Comparing means adjusted for other predictors (analysis of covariance)
Statistics
Chapter 15
Repeated measures designs
Statistics
Chapter 16
Mixed designs
Situations where we combine repeated-measures and independent designs.
Mixed designs: when a
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Chapter 17
Multivariate analysis of variance (MANOVA)
Statistics
Chapter 18
Exploratory factor analysis
In factor analysis, we take a lot of information (variables) and a computer effortlessly reduces this into a simple message (fewer variables).
Statistics
Chapter 19
Categorical outcomes: chi-square and loglinear analysis
Analysing categorical data
Sometimes we want to predict categorical outcome variables. We want to predict into which category an entity falls.
Here is a short explanation how to do tests in SPSS. These are the tests needed for the third block of WSRt and psychology at the second year of the uva.
This magazine contains all the summaries you need for the course WSRt at the second year of psychology at the Uva.
Discovering statistics using IBM SPSS statistics
Chapter 20
Categorical outcomes: logistic regression
This summary contains the information from chapter 20.8 and forward, the rest of the chapter is not necessary for the course.
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sports sciences safdar contributed on 12-01-2020 11:18
great book
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