The VisionWorksTM MethodMakerTM Module

MethodMaker consists of a suite of psychophysical methods that not only control the presentation of stimuli, but also collect, organize, and analyze the results. MethodMaker is included in our Contrast-Sensitivity applications as well as all other psychophysical applications, including custom applications. MethodMaker is also part of our high-end development system in the form of a library of high-level C-functions. A single function call will bring up a menu of methods and the associated parameters

The Experiment Types

  Discrimination

  Absolute Threshold

  Point of Subjective Equality

  Identification

  Same/Different

  Detection

 The Methods

 Method of Adjustment

  Method of Constant Stimuli (single-interval, forced-choice, yes-no)

  Staircase (forced-choice, up-down)

  Maximum Likelihood Estimation (QUEST and ZEST for forced choice and yes-no)

 Signal Detection (ROC curves from different confidence levels)

Features Common to all Methods

 Interweaving conditions (except Method of Adjustment)

  Reaction times automatically collected, accurate to less than one millisecond

  Results automatically sent to log and summary files and a special data file suitable for analysis by statistical packages

  Optional feedback

  Trials may be subject-initiated or automatic

  N-alternatives for forced choice

  Trial-by-trial results maintained

 Selected Method of Constant Stimuli (MOCS) Features

  Levels may be set by user or automatically within a range

  Randomization-within-block option--define a block of trials within which each alternative gets presented the specified number of times

  Data collected and summarized separately for each level of the stimulus

  Probit analysis performed and ogive displayed on-screen

 Selected Staircase Features

  Additive, multiplicative or log steps

  Number of steps back after a mistake can be specified

  Option to move a step only after n correct responses (permits Wetherill-Levitt staircase)

  May jump an extra amount after consecutive errors to avoid being stuck too low

  Large initial steps may be specified to be reduced at each reversal during initial practice period (permits quick threshold determination)

  Graph of results is displayed on-screen, shows each reversal

  Results include mean of reversals, standard deviation and standard error

Selected Quest / Zest Features

Results including threshold mean, mode, and confidence intervals are computed and printed. The user has control over the following parameters:

  Slope of assumed psychometric function

  Threshold Definition ( 51% to 99%)

  Assumed probability of a mistaken keypress (keeps maximum likelihood function from being overly affected by occasional wrong answers at high stimulus levels)

  Random jitter for selection of next value (keeps trial from being too predictable)

  Standard Deviation of prior probability density function

  Termination Rule (termination may be set to fixed number of trials or may keep going until a specified threshold confidence interval is reached)

  Initial probability-density function may be either Gaussian (as in QUEST), or hyperbolic secant (as in ZEST)

  Use of mode (as in QUEST) or Mean (as in ZEST) to determine placement of next trial

Selected Signal Detection Features

  Specify number of confidence levels and trials per level

  d' values are computed and printed for each confidence level for each stimulus level

  ROC curves printed on-screen for each stimulus level

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