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Decks in this class (23)
week 3 Data Cleaning (text books)
to help us learn week 3 lecture and supplementary reading content :-)
including:
Review research design and decision tree for choosing your analytical technique.
Cleaning your data; Data Entry Errors; Missing Data; Outliers; Non-normal distribution; Linearity; Homoscedasticity; Multicollinearity and Singularity
so no problem then :-}
33
cards
Week 4 ANCOVA
to address the learning aims of week 4 lecture including:
Assumptions of ANCOVA
Why do we check for Homogeneity of Regression?
Interpretation: Main effects & Covariates
44
cards
Week 11 Reporting & Interpreting Qualitative Research
To provide an overview of the content of week 11's lecture
47
cards
Week 10 Factor Analysis Principle Components Analysis (PCA)
To provide an overview of Principle Components Analysis (PCA), which is a type of Factor Analysis
42
cards
Week 10 Reliability & Validity of Measures
Still part of PCA & Factor Analysis but separated it for ease of learning
16
cards
Week 9 Logistical Regression
to Provide revision on the topic of Logistical Regression
43
cards
Week 7 Regression
To provide an overview of the lecture on Regression
30
cards
Week 1 Hills P1-13
Characteristics of a constant,
What is a variable,
Measures of variables are
40
cards
Week 8 Moderation & Mediation
To Provide a revision of Week 8's lecture
30
cards
ANOVA & ANCOVA assumptions For Idiots
Assumptions for ancova p173 hill,
Assumptions for one way anova hil...
2
cards
Week 7 Ch. 19 Bivariate Regression Hills
What is the outcome variable,
What is prediction based on in mu...,
Scatter plot axis the predictor i...
16
cards
Week 7 Ch 20 Multiple Regression Hills
Use criterion or outcome instead of,
Multiple regression is,
Use predictors instead of
16
cards
Week 2 Hills Chapter 10
What is tukeys used for,
Characteristics of an experimenta...,
What is the sum of squares made u...
13
cards
Week 5 & 6 MANOVA (Slides)
To provide an overview of week 5 on MANOVA from the Lecture
29
cards
Week 3 Group Differences Design Tree
To be able to review research design and decision tree for choosing your analytical technique.
10
cards
Week 3 Correlational Design Tree
to support learning of the Correlational design tree in T & F dealing with the degree of relationship among variables
8
cards
Week 3 Data Cleaning
to provide information from Slides 9 - onwards (separate slides for decision trees)
42
cards
Week 4 ANCOVA from the Text Books
To elucidate on our knowledge of ANCOVA from our learned text book writing scholars
23
cards
Week 2 Hypothesis Structuring from Slides
To: Review of structuring a hypothesis
25
cards
Week 2 ANOVA from Slides
To cover:
One-way ANOVA
Factorial between-groups ANOVA purpose & assumptions
Main effects and interactions
Signal to noise ratio in F tests
How variability is apportioned in a 2-way ANOVA
Calculations of error in a 2-way ANOVA
Other analyses such as missing cell designs
Family wise error adjustment & simple comparisons
Graphing an interaction in a research report
17
cards
Week 2 ANOVA (Text books)
To supplement the lecture content and underpin our knowledge of ANOVA
First slides from Andy Field, Pallant, G& W
21
cards
Week 2 Hypothesis Structuring (Textbooks)
To supplement our understanding of hypothesis structuring covered in the first part of lecture 2
9
cards
Week 12 S.E.M. Structural Equation Modelling
To provide S.E.M. revision for the exam Based on Kate's slides and tutorial content
81
cards
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z. Honours Stats Revision
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