Sentence examples for participant logs from inspiring English sources

The study objective was to validate the content validity of natural language words and phrases selected from participant logs as breathing-intensity descriptors.

Daily total insulin and carbohydrate intake was calculated based on the information provided in participant logs.

Based on the participant logs and DOQQ imagery, prompts were generated for follow-up interviews regarding discrepancies, unclear patterns, and suspected unreported activities.

In addition, each time a participant logs into the site, the system gives them feedback showing them where they have been and suggests possible next stops.

Adherence will be measured using data automatically collected by the system (e.g. number of times each participant logs onto the site, amount of time spent on the site, proportion of activities completed).

The results of this study indicated the following: (1) participants with a high level of altruism logged out to help others more times than did participants with low and moderate levels of altruism and (2) there was no correlation between the number of times a participant logged out to help others and the number of times the participant failed at problem solving.

After a participant logged in, they were presented with a detailed page of instructions, an optional instructional video, and a mandatory set of 16 practice trials to acquaint them with the task.

A participant log is used to collect data on attrition.

The participant log was kept separate from the data to be analyzed and password protected.

The recruitment rate will be calculated from the number of eligible patients in the participant log.

When a participant logged onto the website, he/she was presented with the PPS and its instructions of use.