conditionN

Experiments Surveys & forms

condition1 through condition4 are pure metadata columns for tagging rows with experimental condition labels (congruency, load, modality, etc.). Exactly four are available. They have no effect on how trials run; their sole function is to be copied into the results rows for analysis.

Syntax

Put any label you like in the cell, for example congruent or high_load. The value is never parsed or interpreted; it is carried into the results file as-is.

Options

Value	Effect
any string	Stored per trial, echoed into the results row of every saved trial.
empty	Nothing.

No reserved values.

Defaults & missing values

A missing column or an empty cell simply leaves the label blank. Only the condition columns actually present in your trial file appear in the results output, and each of the four is included independently, so you can define only condition1 and condition3 if you wish.

Works with

• None. Conditional branching is done by the separate if/then columns; assignment of participants to groups is the subjectGroup column; the condition columns influence neither.
• Saved on completed test trials, CFPT trials and form rows like every other defined column.
• There is exactly condition1 to condition4; a condition5 column would be treated as an unknown custom column (still saved to the results), not as a condition column.

Examples

condition1	condition2	type	stimFormat	stim1	key
congruent	high_load	test	word	RED	1
incongruent	high_load	test	word	BLUE	2

Both labels are carried into each saved results row; behavior of the two trials is otherwise identical.

Tips & gotchas

Note

Practice and learn trials write no results rows, so condition labels on those rows never reach the output.

• The values are not available as %variable% placeholders in trial text; placeholders cover responses, reaction times, accuracy, dynamic list names, participant details and script variables, not trial-file columns like condition1.

Common combinations

conditionN appears in these worked recipes:

• Balanced condition windows: Shuffle trials while keeping the conditions evenly distributed across the whole session, so neither condition clusters early or late.
• Constrained condition order: Shuffle trials while guaranteeing the same condition never runs more than twice in a row.
• Multi-column list file: Give every generated trial its own settings, such as the correct key, from extra columns in the stimulus list CSV.
• Sample per condition: Show each participant a fixed number of trials per difficulty level, drawn fresh from a larger pool every session.
• Stroop colour naming: Show colour words in matching or clashing ink and score keyboard responses to the ink colour.