Discovering statistics using IBM SPSS statistics by A. Field (5th edition) a summary

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.

Access:

Public

Moderation, mediation, and multi-category predictors - summary of chapter 11 of Statistics by A. Field (5th edition),

Statistics
Chapter 11
Moderation, mediation, and multi-category predictors

Moderation: interactions in the linear model
Mediation
Categorical predictors in regression

Back to top

Access:

Public

Comparing several independent means - summary of chapter 12 of Statistics by A. Field (5th edition)

Statistics
Chapter 12
Comparing several independent means

Using a linear model to compare several means
Assumptions when comparing means
Planned contrast (contrast coding)
Post hoc procedures
Comparing several means
Calculating the effect size
Reporting results from

Access:

Public

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)

What is ANCOVA?
ANCOVA and the general linear model
Assumptions and issues in ANCOVA
Interpreting ANCOVA
Calculating the effect size
Reporting results

Access:

Public

Factorial designs - summary of chapter 14 of statistics by A. Field (5th edition)

Statistics
Chapter 14
Factorial designs

Factorial designs
Independent factorial designs and the linear model
Model assumptions in factorial design
Output from factorial design
Calculating effect sizes
Reporting results of factorial design

Access:

Public

Repeated measures designs - summary of chapter 15 of Statistics by A. Field (5th edition)

Statistics
Chapter 15
Repeated measures designs

Introduction to repeated-measures designs
Repeated measures and the linear model
The ANOVA approach to repeated-measures designs
The F-statistic for repeated-measures designs
Assumptions in repeated-measures designs
One-way repeated-measures designs
Effect sizes for

Access:

Public

Mixed designs - summary of chapter 16 of Statistics by A. Field (5th edition)

Statistics
Chapter 16
Mixed designs

Mixed designs
Assumptions in mixed designs
Mixed designs
Calculating effect sizes

Back to top

Mixed designs

Situations where

Access:

Public

Multivariate analysis of variance (MANOVA) - summary of chapter 17 of Statistics by A. Field (5th edition)

Statistics
Chapter 17
Multivariate analysis of variance (MANOVA)

Introducing MANOVA
Introducing matrices
The theory behind MANOVA
Practical issues when conducting MANOVA
Summary
Reporting results from MANOVA

Back to top

Access:

Public

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).

When to use factor analysis
Factors and components
Discovering factors
Preliminary analysis

Access:

Public

Categorical 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.

Associations between two categorical variables
Associations between several categorical variables: loglinear

Access:

Public

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.

Correlation analysis (two continuous variables)
Partial correlation (three continuous variables and you want

Access:

JoHo members

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.

WSRt, critical thinking, a list of terms used in the articles of block 2

WSRt, critical thinking - a summary of all articles needed in the second block of second year psychology at the uva

WSRt, critical thinking, a list of terms used in the articles of block 3

WSRt using SPSS, manual for tests in the third block of the second year of psychology at the uva

WSRt, critical thinking - a summary of all articles needed in the third block of second year psychology at the uva

WSRt, critical thinking, a list of terms used in the articles of block 4

WSRt, critical thinking - a summary of all articles needed in the fourth block of second year psychology at the uva

Sharon Klinkenberg legt SPSS uit op YouTube

Discovering statistics using IBM SPSS statistics by A. Field (5th edition) a summary

Critical thinking: A concise guide by Bowell & Kemp (4th edition) - a summary

What is a confidence interval in null hypothesis significance testing?

What is the difference between a p-value and Bayes likelihood?

What are important elements of Bayesian statistics?

What is the Bayes factor?

What are weaknesses of the Bayesian approach?

What is qualitative psychological research?

What criteria should be held by good qualitative research?

Year 2 of psychology at the uva

Access:

Public

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.

What is logistic regression?
Theory of

Access:

JoHo members

Discovering statistics using IBM SPSS statistics by A. Field (5th edition) a summary

Why is my evil lecturer forcing me to learn statisics? - summary of chapter 1 of statistics by A. Field (5th edition)

The spine of statistics - summary of chapter 2 of Statistics by A. Field (5th edition)

The beast of bias - summary of chapter 6 of Statistics by A. Field (5th edition)

What

Non-parametric models - summary of chapter 7 of Statistics by A. Field (5h edition)

Correlation - summary of chapter 8 of Statistics by A. Field (5th 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)

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)

Factorial designs - summary of chapter 14 of statistics by A. Field (5th edition)

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)

Mixed designs

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)

Categorical outcomes: chi-square and loglinear analysis - summary of chapter 19 of Statistics by A. Field

WSRt using SPSS, manual for tests in the third block of the second year of psychology at the uva

Everything you need for the course WSRt of the second year of Psychology at the Uva

Categorical outcomes: logistic regression - summary of (part of) chapter 20 of Statistics by A. Field

The Netherlands

Psychologie en gedrag

sports sciences safdar contributed on 12-01-2020 11:18

Add new contribution