Simple Slope at +/-1 SD Calculator

Specified linear interaction simple slopes at actual mode rat or mean±SD, centering/coefficient units independently matched. No standard error, causal effect or significance test.

Description

A linear interaction model has a predictor slope that depends on moderator value.

A linear interaction model has a predictor slope that depends on moderator value.1

Evaluating the moderator mean plus and minus one standard deviation gives two conditional slopes. The calculation and input requirements are explained below.

When to use Simple Slope at +/-1 SD Calculator

Enter finite predictor and interaction coefficients, finite moderator mean and nonnegative moderator SD.

How to use Simple Slope at +/-1 SD Calculator and how it works

  1. Prepare the measurements or independently established model inputs described below, with matching units and observation scope.
  2. Enter the required fields and run Simple Slope at +/-1 SD Calculator.
  3. Read the result fields using the formula, output units, signs and ordering explained below.
  4. Correct any rejected inputs and rerun; interpret the result within the stated model and its assumptions.
Input fieldMeaningValue typeRequirement
actualPredictorCoefficientActual Predictor Coefficient. Use the units and matching context stated in the calculation below.numberRequired; finite; other constraints below
actualInteractionCoefficientActual Interaction Coefficient. Use the units and matching context stated in the calculation below.numberRequired; finite; other constraints below
callerModeratorMeanCaller Moderator Mean. Use the units and matching context stated in the calculation below.numberRequired; finite; other constraints below
callerModeratorSdCaller Moderator Sd. Use the units and matching context stated in the calculation below.numberRequired; nonnegative; finite; other constraints below

Enter finite predictor and interaction coefficients, finite moderator mean and nonnegative moderator SD. Evaluate predictor coefficient plus interaction times mean+SD and mean-SD, preserving signs. No uncertainty or significance test is computed.

slopePlus=b1+b3*(mean+SD); slopeMinus=b1+b3*(mean-SD)

Apply the input ordering, units and branch conditions stated above.

Output fieldMeaningValue type
resultObject containing the calculated or selected fields below.object
result.conditionalSlopeAtPlusOneSdConditional Slope At Plus One Sd. Interpret its unit, sign, order or availability flag as explained above.number
result.conditionalSlopeAtMinusOneSdConditional Slope At Minus One Sd. Interpret its unit, sign, order or availability flag as explained above.number
json
{
  "input": {
    "actualPredictorCoefficient": 2,
    "actualInteractionCoefficient": 3,
    "callerModeratorMean": 1,
    "callerModeratorSd": 2
  },
  "output": {
    "result": {
      "conditionalSlopeAtPlusOneSd": 11,
      "conditionalSlopeAtMinusOneSd": -1
    }
  }
}

Limitations and assumptions

The calculation uses the supplied observations and model inputs. It does not collect measurements, select a reference population or coefficient, or establish that the model applies to the actual case. The stated branch conditions and output units remain part of the result.

All fields require explicit values. Unexpected fields, wrong types, nonfinite numbers and sparse arrays are rejected. Alignment, bounds and supported-token rules are explained above; extremely large inputs or nonfinite results can also fail. Input errors differ from successful false comparisons, unavailable-domain flags and empty match lists.

Alternative or Complementary methods

Use Sobel Test Z Mediation Calculator for a complementary operation: The Sobel statistic uses a first-order variance approximation for a product of paths.

Use Mediation Indirect Effect a*b Calculator for a complementary operation: A linear mediation product multiplies two compatible path coefficients.

References

  1. Simple Slope at +/-1 SD Calculator — tool.io

Similar or alternative tools

Don't forget to set a bookmark for tool.io!
Privacy | Imprint | Cookies