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.
The spine of statistics - summary of chapter 2 of Statistics by A. Field (5th edition)
Statistics
Chapter 2
The spine of statistics
What is the spine of statistics?
The spine of statistics: (an acronym for)
- Standard error
- Parameters
- Interval estimates (confidence intervals)
- Null hypotheses significance testing
- Estimation
The beast of bias - summary of chapter 6 of Statistics by A. Field (5th edition)
Non-parametric models - summary of chapter 7 of Statistics by A. Field (5h edition)
The linear model - summary of Chapter 9 by A. Field 5th edition
Comparing two means - summary of chapter 10 of Statistics by A. Field (5th edition)
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.
Moderation, mediation, and multi-category predictors - summary of chapter 11 of Statistics by A. Field (5th edition),
Comparing several independent means - summary of chapter 12 of Statistics by A. Field (5th edition)
Analysis of covariance - summary of chapter 13 of Statistics by A. Field (5th edition)
Statistics
Chapter 13
Comparing means adjusted for other predictors (analysis of covariance)
Repeated measures designs - summary of chapter 15 of Statistics by A. Field (5th edition)
Mixed designs - summary of chapter 16 of Statistics by A. Field (5th edition)
Multivariate analysis of variance (MANOVA) - summary of chapter 17 of Statistics by A. Field (5th edition)
Exploratory factor analysis - summary of chapter 18 of Statistics by A. Field (5th edition)
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).
........Read moreCategorical outcomes: chi-square and loglinear analysis - summary of chapter 19 of Statistics by A. Field
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.
WSRt using SPSS, manual for tests in the third block of the second year of psychology at the uva
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.
Everything you need for the course WSRt of the second year of Psychology at the Uva
This magazine contains all the summaries you need for the course WSRt at the second year of psychology at the Uva.
Categorical outcomes: logistic regression - summary of (part of) chapter 20 of Statistics by A. Field
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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