Multiple Choice Matrix

Un composant ISLE qui rend une matrice de questions à choix multiples avec les mêmes réponses.

Options

• questions | array (required): une série de questions. Default: none.
• answers | array (required): un éventail de réponses. Default: none.
• title | (string|node): titre à afficher en haut de la matrice des questions. Default: none.
• solution | array<array>: matrice booléenne dont l'élément indique si le bouton radio ou la case à cocher correspondant doit être coché. Default: none.
• type | string: type de question ("radio" correspond à "Sélectionnez un", "case à cocher" à "Sélectionnez tout ce qui s'applique"). Default: 'radio'.
• disableSubmitNotification | boolean: contrôle s'il faut désactiver les notifications de soumission. Default: false.
• onChange | function: rappel invoqué lorsque la valeur d'une case à cocher / d'un bouton radio change ; invoqué avec le tableau booléen bidimensionnel de l'état actif pour chaque option de réponse. Default: onChange() {}.
• onSubmit | function: rappel invoqué lorsque l'utilisateur clique sur le bouton "Soumettre" ; invoqué avec le tableau booléen bidimensionnel de l'état actif pour chaque option de réponse. Default: onSubmit() {}.

Exemples

Éditeur en direct

<MultipleChoiceMatrix title="Do you think these concepts are important for an introductory statistics course, and do you (or your department) cover them in your introductory courses?" id="topics" questions={[ 'Data Visualizations', 'Hand calculations (e.g. standard deviation, z-scores)', 'Combinatorics', 'Basic probability theory (conditional probability, independence...)', 'Calculus-based probability', 'Sampling distributions', 'Confidence intervals (traditional, formula-based)', 'Boostrapping', 'Hypothesis testing (traditional, e.g. t-test or chi-square formulas and tables)', 'Simple linear regression', 'Bayesian statistics', 'Randomization- or simulation-based inference' ]} type="checkbox" answers={[ 'I cover it', 'I think it\'s important' ]} />

<MultipleChoiceMatrix 
    title="Do you think these concepts are important for an introductory statistics course, and do you (or your department) cover them in your introductory courses?" id="topics" 
    questions={[
        'Data Visualizations',
        'Hand calculations (e.g. standard deviation, z-scores)',
        'Combinatorics',
        'Basic probability theory (conditional probability, independence...)',
        'Calculus-based probability',
        'Sampling distributions',
        'Confidence intervals (traditional, formula-based)',
        'Boostrapping',
        'Hypothesis testing (traditional, e.g. t-test or chi-square formulas and tables)',
        'Simple linear regression',
        'Bayesian statistics',
        'Randomization- or simulation-based inference'
    ]}
    type="checkbox" 
    answers={[ 'I cover it', 'I think it\'s important' ]} 
/>

Résultat

Do you think these concepts are important for an introductory statistics course, and do you (or your department) cover them in your introductory courses?

For each row, click on all check boxes which apply.

I cover it

I think it's important

Data Visualizations

I cover it

I think it's important

Hand calculations (e.g. standard deviation, z-scores)

I cover it

I think it's important

Combinatorics

I cover it

I think it's important

Basic probability theory (conditional probability, independence...)

I cover it

I think it's important

Calculus-based probability

I cover it

I think it's important

Sampling distributions

I cover it

I think it's important

Confidence intervals (traditional, formula-based)

I cover it

I think it's important

Boostrapping

I cover it

I think it's important

Hypothesis testing (traditional, e.g. t-test or chi-square formulas and tables)

I cover it

I think it's important

Simple linear regression

I cover it

I think it's important

Bayesian statistics

I cover it

I think it's important

Randomization- or simulation-based inference

I cover it

I think it's important