JAJ | R Documentation |

This function defines a JAJ module for incorporation into a
psychTestR timeline.
Use this function if you want to include the JAJ in a
battery of other tests, or if you want to add custom psychTestR
pages to your test timeline.
For demoing the JAJ, consider using `JAJ_demo()`

.
For a standalone implementation of the JAJ,
consider using `JAJ_standalone()`

.

```
JAJ(
num_items = 16L,
take_training = TRUE,
with_welcome = TRUE,
with_finish = TRUE,
label = "JAJ",
feedback = JAJ::JAJ_feedback_with_score(),
next_item.criterion = "bOpt",
next_item.estimator = "BM",
next_item.prior_dist = "norm",
next_item.prior_par = c(0, 1),
final_ability.estimator = "WL",
dict = JAJ::JAJ_dict
)
```

`num_items` |
(Integer scalar) Number of items in the test. |

`take_training` |
(Logical scalar) Whether to include the training phase. Defaults to TRUE. |

`with_welcome` |
(Logical scalar) Whether to include a welcome message. Defaults to TRUE. |

`with_finish` |
(logical) Adds a "test finsihed" page at the end. |

`label` |
(Character scalar) Label to give the JAJ results in the output file. Defaults to JAJ. |

`feedback` |
(Function) Defines the feedback to give the participant at the end of the test. Defaults JAJ::JAJ_feedback_with_score. |

`next_item.criterion` |
(Character scalar)
Criterion for selecting successive items in the adaptive test.
See the |

`next_item.estimator` |
(Character scalar)
Ability estimation method used for selecting successive items in the adaptive test.
See the |

`next_item.prior_dist` |
(Character scalar)
The type of prior distribution to use when calculating ability estimates
for item selection.
Ignored if |

`next_item.prior_par` |
(Numeric vector, length 2)
Parameters for the prior distribution;
see the |

`final_ability.estimator` |
Estimation method used for the final ability estimate.
See the |

`dict` |
The psychTestR dictionary used for internationalisation. Defaults to JAJ_dict |

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