Application settings:

Within each research performed, you can vary only one variable. All other settings are fixed within that research. For each of the all remaining parameters (variables) that are entered in the form of multi-line plain-text editing control (textarea), the first entered valid value is set (starting from the first line to the bottom). If all values are invalid or not entered, the default value for that parameter is set.

For simplicity this terminology is used:

big lines = stimulus main lines. These are all lines with which the user adjusts the slope, as well as all lines for comparison (fixed, models).

small lines = interfering (inducing) lines. These are all interference lines located at a different angle on big lines.

Select a variable: Intersect angle Big angle Small lines Big lines Big length You vary the angle of intersection between large and small lines within the same research

Number of iterations for each variable value: Total number of items = (number of iterations) * (number of entered valid values for the selected variable)

Intersect angle:
Here you need to enter the Intersect angle between the big and small lines . Enter only one integer value in the range of 5-90 per line. Units are degrees. Do not enter units. Invalid values will be deleted (ignored). If all values in the list are invalid, default value = 20.
Big angle:
Here you need to enter Angle of big lines (units are degrees) . Enter only one integer value in the range of 0-90 per line. Units are degrees. Do not enter units. Invalid values will be deleted (ignored). If all values in the list are invalid, default value = 45.
Small lines:
You enter here the number of small lines that will intersect each large line . But at the end of the task, each of these entered values will be converted to the spatial distance between the small lines within each large line, i.e. the number of lines will be converted to the distance in pixels (Small lines-px). All statistics will be calculated for this variable. Enter only one integer value in the range of 1-50 per line. Higher value - smaller spacing and vice versa. Do not enter units. Invalid values will be deleted (ignored). If all values in the list are invalid, default value = 10.
Big lines:
Here you enter the number of big lines within the current item. Enter only one integer value in the range of 2-50 per line. Must be even integer number (2,4,6,..). Invalid values will be deleted (ignored). If all values in the list are invalid, default value = 2.
Big length:
Here you enter the size (length) of big lines within the current item. It is entered as a percentage of the maximum possible line size allowed by the screen resolution you are using. Enter only one integer value in the range of 10-100 per line. Do not enter units (percents). 100 = the maximum possible value allowed by your screen resolution. Smaller values = smaller big line size. Invalid values will be deleted (ignored). If all values in the list are invalid, default value = 100. At the end of the task, each of these entered values will be converted from percentages to pixels. All statistics will be calculated for this variable (Big length-px)
Colors:

Background color during task:

Font color for all lines:

Font color to display the correct (ideal) solution:

Pen width for all lines:

Draw an outer circle around all the stimuli: No

Enable backward - display the button for the previous item: Yes

Progress bar is visible: Yes. It will be displayed how many items are left to the end.

Demo mode: No

Storage (useful for group research):

Storage: No Yes This web application will not store results within your web browser. Data is lost when the browser tab is closed

There are no saved results in your web browser.

Your browser probably doesn't have support for the Web Storage Object or access to the Storage Object is disabled. Check your browser settings. In some browsers (example: IE11) Storage Object is not enabled when accessed in a local file (offline).

Latest research

Select data:Results by items Descriptive statistics-Absolute error Descriptive statistics-Relative error Inferential statistics - correlations

Results legend:

Variables = Combination of variables used for bivariate correlation

Spearman-ro = Spearman's rank correlation coefficient. Spearman’s formula with tied ranks was used

t-value ro = Student's t-distribution (Gosset) value argument for ro

df = Degree of freedom (Student's t-distribution)

p-ro (two-sided) = Two-tailed probability or cumulative distribution function (CDF) for t-value ro

Pearson r = Pearson correlation coefficient.

t-value r = Student's t-distribution (Gosset) value argument for r

p-r (two-sided) = Two-tailed probability or cumulative distribution function (CDF) for t-value r

NaN = If printed NaN cannot be calculated. Example if sample variance = 0 for Pearson r or Spearman-ro.

If the value in the table is not printed, it cannot be calculated.

All statistics are automatically calculated for n>2 (only for non-missing items). Ignore or at least very carefully use inferential statistics for small sample size.

Sample standard deviation is calculated with Bessel's correction (n-1)

Table of group results:

-abs = this sufix indicates Absolute error

-rel = this sufix indicates Relative error

m-abs = Average (mean) for Absolute error (degrees)

sd-abs = Sample standard deviation with Bessel's correction for Absolute error

m-rel = Average (mean) for Relative error (%)

sd-rel = Sample standard deviation with Bessel's correction for Relative error (%)

r-abs = Absolute error. Pearson r

t-abs = Absolute error. t-value argument for r

p-abs = Absolute error. probability r

r-rel = Relative error. Pearson r

t-rel = Relative error. t-value argument for r

p-rel = Relative error. probability r

df = degree of freedom. Equal for Absolute error and Relative error.