MCQ EXAM

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EMQ THEMES

Next step in management

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Most likely disorder

Neuroanatomy

Defense Mechanisms

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Legal Concepts

Most Relevant Next Investigation

Psychodynamic explanations

Neurotransmitters

Abnormality in thinking

Brain Region affected

Aspects of memory

Person associated

Neuroimaging findings in Schizophrenia Link Title

CNS Lesions

Genetics

ECT clinical situations

Speech abnormality

Antidote for toxic situations

First Line medications

Interview techniques

Most appropriate CBT therapies

Overdose syndromes

Sexual disorders

Ununusal named syndromes

Blood abnormalities

Substances involved - clinical situations

Speech/ Thinking abnormality

Sleep stages- signs

Dissociative/ Somatoform disorders

Learning Concepts

Child and Adolescent disorders - diagnoses

Eating disorders

Theorists- stages of development

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STATISTICS

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What type of bias ?

What is this study design ?

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What is the best statistical test in this situation ?

Statistical Significance

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What is the PRINCIPAL RESEARCH QUESTION

Probability Calculation

Issue of paramount importance

Statistical Tests

Unpaired T test and Mann Whitney test

Compares two independent samples drawn from the same population

One sample (paired ) T test and Wilcoxoon matched pairs test

Compares two sets of observations on a single sample

One way analysis of variance ( F test ) using total sum of squares and Kruskall-Wallis analysis of variance by ranks

a generalisation of the pairied t or Wilcoxon matches pairs test where three or more sets of observations are made on a single sample

Two way analysis of variance and Two way analysis of variance by ranks

Tests the influence of two different covariates

Chi 2 test and Fisher's exact test

Tests the null hypothesis that the distribution of a discontinuous variable is the same in two independent samples

Product moment correlation efficient and Spearman's rank correlation coefficient

Assesses the strenggh of the straight line association between two continuous variables

Regression by least squares method and Non-parametric regression

Describes the numerical relation between two quantitative variables, allowing one value to be predicted from the other

Multiple Regression by least squares method and Non-parametric regression ( various tests )

Describes the numerical relation between a dependent variable and several predictor variables

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