conditionTest: Test of Condition Differences across Situation-Action (s,i)...

In Dustin-Wood/funfield: Functional Field Functions

Test of Condition Differences across Situation-Action (s,i) Pairs

Description

Test whether a (dichotomous) condition produces mean-level differences in how people rate situation-action expected outcomes

Usage

conditionTest(PSIdata.cond, hiCond, loCond, locEE)

Arguments

PSIdata.cond	PSI-structured datafile, with "condition" as the final
hiCond	exact name of 'high' condition (to be scored as '1')
loCond	exact name of 'low' condition (to be scored as '-1')
locEE	location of expected outcome ratings to test for condition associations - usually something like c(4:8), as first three columns should be p,s,i

Details

This assumes a very regimented c("p","s","i",...) data structure. Additionally, the code is currently only for dichotomous condition levels. If a condition has more than 2 factor levels, then a different function will have to be employed (perhaps using 'aov' routine)

Value

Means, correlations and p-values linking expected outcome ratings to high/low condition levels

siMeans	Situation-Action mean ratings, given in separate dataframe by condition
rXCond	correlation between expected effect (X) and condition (L=-1,H=1)
pXCond	statistical significance of these correlations (or mean difference, which is equivalent, btw)

Dustin-Wood/funfield documentation built on July 20, 2023, 7:10 a.m.