Feedback type:Outcomefeedback:Performancefeedback:Cognitiveprocessfeedback:Taskpropertiesfeedback
• Feedback type • Outcome feedback • Performance feedback • Cognitive process feedback • Task properties feedback
Feedback-Based Rolling Training(Petropoulos et al., 2017)·Focusonperformancefeedback,distinguishingtwotypes:feedbackonthebiasassociatedwiththeforecastssubmitted,andfeedbackontheiraccuracy·Participantsare10o5undergraduatestudents.Eachparticipantprovidedjudgmentalestimates(4-periodahead)followingbothapproaches(unaidedandafterrollingtraining),usingafullysymmetricexperiment·16quarterlyserieswereselectedmanuallyfromtheM3-Competitiondataset.Foranalysispurposes,the16seriesweresplitagainintotwosetsofequalsizeintermsof noise (lowand high).The required lengthof all series was setto28points(sevenyears),withTongerseriesbeingtruncated: 28 in-sample points and 4 out-of-sample points. For rolling training, 3 blocks of 4-periodareused (12in-samplepointsforfirstestimate).Aftercompletingeachofthelattertworounds,theparticipantsfilledinaquestionnaireforsubsequentanalysis
Feedback-Based Rolling Training (Petropoulos et al., 2017) • Focus on performance feedback, distinguishing two types: feedback on the bias associated with the forecasts submitted, and feedback on their accuracy • Participants are 105 undergraduate students. Each participant provided judgmental estimates (4-period ahead) following both approaches (unaided and after rolling training), using a fully symmetric experiment. • 16 quarterly series were selected manually from the M3-Competition data set. For analysis purposes, the 16 series were split again into two sets of equal size in terms of noise (low and high). The required length of all series was set to 28 points (seven years), with longer series being truncated. • 28 in-sample points and 4 out-of-sample points. For rolling training, 3 blocks of 4- period are used (12 in-sample points for first estimate). • After completing each of the latter two rounds, the participants filled in a questionnaire for subsequent analysis