Glossary - scatter graph

Index	scatter graph
Front References A absolute accuracy accuracy range attribute B between subject biased blinding box plot C case study causality cause-effect central tendency closed question conclusion validity confidence level confounding factor construct validity content validity control group controlled experiment convenience cross-over D delphi dependent variable descriptive divergence double blinding dry run E empirical ethics ethnography evaluation evidence-based exclusion criteria experiment exploratory external attribute F field experiment field study G gaussian distribution H hypothesis I inclusion criteria independent variable input variable instrument internal attribute interpretivism interval scale interview intrusive L laboratory experiment longitudinal lower quartile M mapping study maturation mean measurement measurement scales median meta-analysis mode N nominal measurement scale non intrusive null hypothesis O objective observation observational scale open question ordinal scale outcome variable outlier P participant percentile population positivism power precision primary study proposition protocol protocol analysis Q qualitative quantitative quasi-experiment questionnaire quota R randomised controlled trial randomised experiment ratio scale reactivity regression research question response rate response variable S sample sample size sampling frame sampling technique scatter graph scoping review secondary study standard deviation statistical power stimulus variable subjective survey synthesis systematic literature review T tertiary study think aloud treatment triangulation U unbiased upper quartile utterance V validity variance W within subject	(A.k.a. Scatter Plot.) These are often used to demonstrate the relationship between two variables, and the more closely the points cluster around a line, then the closer the relationship between the variables. Conversely, if no pattern can be seen then there is no relationship. This entry was last updated on 5 August 2008

Index

scatter graph

Front
References
A
- absolute
- accuracy
- accuracy range
- attribute
B
- between subject
- biased
- blinding
- box plot
C
- case study
- causality
- cause-effect
- central tendency
- closed question
- conclusion validity
- confidence level
- confounding factor
- construct validity
- content validity
- control group
- controlled experiment
- convenience
- cross-over
D
- delphi
- dependent variable
- descriptive
- divergence
- double blinding
- dry run
E
- empirical
- ethics
- ethnography
- evaluation
- evidence-based
- exclusion criteria
- experiment
- exploratory
- external attribute
F
- field experiment
- field study
G
- gaussian distribution
H
- hypothesis
I
- inclusion criteria
- independent variable
- input variable
- instrument
- internal attribute
- interpretivism
- interval scale
- interview
- intrusive
L
- laboratory experiment
- longitudinal
- lower quartile
M
- mapping study
- maturation
- mean
- measurement
- measurement scales
- median
- meta-analysis
- mode
N
- nominal measurement scale
- non intrusive
- null hypothesis
O
- objective
- observation
- observational scale
- open question
- ordinal scale
- outcome variable
- outlier
P
- participant
- percentile
- population
- positivism
- power
- precision
- primary study
- proposition
- protocol
- protocol analysis
Q
- qualitative
- quantitative
- quasi-experiment
- questionnaire
- quota
R
- randomised controlled trial
- randomised experiment
- ratio scale
- reactivity
- regression
- research question
- response rate
- response variable
S
- sample
- sample size
- sampling frame
- sampling technique
- scatter graph
- scoping review
- secondary study
- standard deviation
- statistical power
- stimulus variable
- subjective
- survey
- synthesis
- systematic literature review
T
- tertiary study
- think aloud
- treatment
- triangulation
U
- unbiased
- upper quartile
- utterance
V
- validity
- variance
W
- within subject

(A.k.a. Scatter Plot.) These are often used to demonstrate the relationship between two variables, and the more closely the points cluster around a line, then the closer the relationship between the variables. Conversely, if no pattern can be seen then there is no relationship.

This entry was last updated on 5 August 2008

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Glossary - scatter graph