score_tam: Calculate participants' scores on technology acceptance model

In AGDunn/uxer: User Experience Research Functions

Description

Calculate participants' scores on full technology acceptance model. There are two subscales: ‘perceived usefulness’ and ‘perceived ease of use’. Currently assumes participant ID is first column (if present), then usefulness scale, then ease scale. It's based just off the original paper and no later extensions (yet).

Usage

score_tam(myData, user_id = TRUE, usef_start = user_id + 1,
  ease_start = user_id + 7)

Arguments

myData	a data frame with (optional) participant ID, then (mandatory) usefulness scale questions followed by (mandatory) ease-of-use scale questions.
user_id	boolean for presence or absence of user ID column as first column.
usef_start	left-most column of usefulness scale, default is 1 higher than user_id.
ease_start	left-most column of ease-of-use scale, default is 7 higher than user_id.

References

Davis, Fred D. (1989) “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information” MIS Quarterly 13 (3)

AGDunn/uxer documentation built on May 30, 2019, 11:55 a.m.