Experiment Configurations

Experiment parameters split into 4 main sections. While first four paramters are describing the overall design of the study, parameters of each individual module are encapsulated into three sections, ie., Data Strategy, Test Strategies, and Effect Strategies.

Parameter	Type	Description
n_reps	integer	Indicates the number of replications of the same research.
n_conditions	integer	Indicates the number of conditions, m. Excluding the control group.
n_dep_vars	integer	Indicates the number of dependent variables in each condition, n.
n_obs	integer, array, Parameter	Indicates the number of observations per group
data_strategy	string	Specify the underlying Data Strategy.
test_strategy	string	Specify the underlying Test Strategies.
effect_strategy	string	Specify the underlying Effect Strategies.

The code snippet below showcases a sample of Experiment's parameters that's being used in Bakker et al., 2012.

Experiment's Configurations

  "experiment_parameters": {
    "n_obs": 20,
    "n_conditions": 2,
    "n_dep_vars": 2,
    "data_strategy": {
      "name": "LinearModel",
      "measurements": {
          "dist": "mvnorm_distribution",
          "means": [0, 0, 0.25, 0.25],
          "sigma": [[1.0,   0.5,   0.0,   0.0],
                    [0.5,   1.0,   0.0,   0.0],
                    [0.0,   0.0,   1.0,   0.5],
                    [0.0,   0.0,   0.5,   1.0]]
    },
    "test_strategy": {
      "name": "TTest",
      "alpha": 0.05,
      "alternative": "TwoSided",
      "var_equal": true
    },
    "effect_strategy": {
      "name": "MeanDifference"
    }
  }
}

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Last update: 2021-09-18