Statistics in psychology

The statistics are used much in research in quantitative psychology, such as the cognitive Psychologie, the social Psychologie…

The difference of the statistics in social sciences

The Statistique S are used much in the exact sciences, which makes it possible to objectify the results, and to draw some the conclusions. In Social sciences, the major difference is on the level of the object of study, the Homme. Indeed, it is difficult to imagine categorical and strongly distinct conclusions when they are eminently complex beings, such as the Man.

Surveys

See also Survey
In psychology, the term of survey gets busy when the psychologist does not pose assumptions.

The test of assumption

See also Test of assumption

Statistical assumption

See also the assumptions
  • theoretical Assumption (Hth): It préviligie neither a direction of interpretation, nor the other.
  • Hypothesis working or operational (H1 or HT): It must include the VI and VD, and must give a direction of reading to the assumption.
  • null Assumption (H0): It is the contradiction of H1. It is this assumption which allows the statistical conclusion, by rejecting it or not.

With a sample
One compares a theoretical standard here, with our sample.

With two samples
The average of the two samples is compared.

The experimental design

See also Experimental design
Symbols used
  • <… > = Emboîté, i.e. there is a group by method.
  • *… = Croisé, i.e. there is that only one group for all the methods.

  • S = Means prone.

  • S102> = Signifie that it on 20 subjects there (Because 10 subjects X 2 methods)
  • S10*M2 = Signifie that it on 10 subjects
there

  • M2 = M is the symbol of one VI, and 2 in index, indicates the number of method.

Monofactoriel plan
One can have two types of monofactoriel plan:

Multi-factor plan
One will have here, at least 2 VI to test at the same time. One can have three types of multi-factor plan:

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