SEARCH
You are in browse mode. You must login to use MEMORY

   Log in to start

DE200


🇬🇧
In English
Created:


Public
Created by:
Zahra Al-Hakim


0 / 5  (0 ratings)



» To start learning, click login

1 / 25

[Front]


What are the three things you need to consider before designing an effective research question?
[Back]


How your assumptions guide your focus, phrasing, implications

Practice Known Questions

Stay up to date with your due questions

Complete 5 questions to enable practice

Exams

Exam: Test your skills

Test your skills in exam mode

Learn New Questions

Dynamic Modes

SmartIntelligent mix of all modes
CustomUse settings to weight dynamic modes

Manual Mode [BETA]

Select your own question and answer types
Specific modes

Learn with flashcards
Complete the sentence
Listening & SpellingSpelling: Type what you hear
multiple choiceMultiple choice mode
SpeakingAnswer with voice
Speaking & ListeningPractice pronunciation
TypingTyping only mode

DE200 - Leaderboard

0 users have completed this course. Be the first!

No users have played this course yet, be the first


DE200 - Details

Levels:

Questions:

43 questions
🇬🇧🇬🇧
NA
NA
Consequentialism
Argues rightness and wrongness depends on the consequences of the action
Deontology
Argues some things are right and wrong regardless of outcome
Operationalism
The process of turning an abstract idea into a measurable concept
What is the difference between nominal, ordinal and interval data
Nominal (Categorical: gender), Ordinal (High, medium, low), Interval (Age, Temperature)
Descriptive stats
Stats that summarise the data collected in a study
Inferential stats
Allow you to make sense of patterns in your data
Standard deviation
Distance between points and the mean
Interquartile range
Difference between upper and lower quartiles
Normal distribution
Function representing distribution of variables as symmetrical bell-shaped graph
Skewed distribution
Representation of scores that lack symmetry
Experimental designs
Establish cause and effects between variables
Correlational designs
Predict associations or relationships between naturally occuring variables
Two-tailed hypothesis
When your hypothesis has no direction
One-tailed hypothesis
Your hypothesis predicts a direction in the results
Null hypothesis
Predicts that two samples are from the same population and any differences between them is purely due to sampling error
How do you know if your experiment has worked?
You find enough evidence to reject the null hypothesis
Statistical significance
Calculates the probability the results obtained are due to sampling error and not experimental manipulation. The smaller the probability, the more significant the difference.
Effect size
Calculates the difference between the conditions in real time
T-test
Allows you to tell whether there is a statistically significant difference between two conditions
When is an independent t-test used?
When your experiment is a between-participants design
When is a repeated-measures t-test used?
When your experiment is a within-participants design
What is the formula for a t-test?
T=difference between group means/standard error of difference in means
What assumptions must be met for a t-test to be reliable?
Assumption of normality, homogeneity of variance, independence and data must be interval.
What is the IV
Independent variable, the variable that is manipulated
What is the DV
The variable that is measured as as result of manipulating the IV
Systematic variation
Variance due to experimental manipulation
Unsystematic variation
Variance due to other sources
What is an ANOVA?
Analysis of variance, it looks at the variability of a data set to establish whether the means of the different conditions are the same or not
When is a One-way independent ANOVA used?
When you have a between-participants design
When is a One-way repeated measures ANOVA used?
When you have a within-participants design
What is the formula for a one-way ANOVA?
F=systematic variance/unsystematic variance
What are post-hoc tests?
Post-hoc tests compare each possible pair of conditions
How do we write up an ANOVA in APA format?
F(2,297)=7.34,p=0.001,ƞp2= .05
What assumptions must be met for a repeated-measures ANOVA to be reliable?
Independece within groups and assumption of sphericity
What is the assumption of sphericity?
It assumes the variances between the different combinations of conditions are equal