Krahasoni metodat

	Day Reconstruction Method	Within-Subjects Factorial Design
Fusha	Psikologjia sociale	Psikologjia sociale
Familja	Process / pipeline	Process / pipeline
Viti i origjinës	2004	2004
Krijuesi	Daniel Kahneman and colleagues	Experimental-design tradition (widely used in social psychology)
Lloji	Retrospective experience-assessment method	Experimental design framework
Burimi themelues	Kahneman, D., Krueger, A. B., Schkade, D. A., Schwarz, N., & Stone, A. A. (2004). A survey method for characterizing daily life experience: The Day Reconstruction Method. Science, 306(5702), 1776-1780.	Kahneman, D., Krueger, A. B., Schkade, D. A., Schwarz, N., & Stone, A. A. (2004). A survey method for characterizing daily life experience: The Day Reconstruction Method. Science, 306(5702), 1776-1780.
Emërtime të tjera	DRM, Diary Reconstruction Method, Episodic Day Reconstruction	Repeated-Measures Factorial Design, Within-Participants Factorial, Crossed Within-Subjects Design
Të lidhura	2	2
Përmbledhja	The Day Reconstruction Method (DRM), introduced by Kahneman, Krueger, Schkade, Schwarz, and Stone in 2004, is a technique for measuring how people experience the activities of their daily lives without the burden of real-time sampling. Respondents systematically reconstruct the previous day, dividing it into a sequence of episodes -- like scenes in a film -- and report for each episode what they were doing, where, with whom, and how they felt. By anchoring recall in concrete, ordered episodes, the method reduces the memory biases that plague global retrospective reports while approximating the affective information obtained from experience sampling. The DRM yields duration-weighted measures of experienced well-being, such as net affect and the U-index (the proportion of time spent in an unpleasant state), and reveals how feelings vary across activities and contexts. It became a key tool for studying experienced (as opposed to evaluated) well-being and the affective texture of everyday life.	The within-subjects factorial design is an experimental framework in which each participant is exposed to every combination of two or more manipulated factors, allowing researchers to test the main effect of each factor and their interactions while using each person as their own control. Because the same individuals experience all conditions, between-subject differences are removed from the error term, giving within-subjects factorial designs substantially greater statistical power and efficiency than between-subjects designs for the same number of participants. This makes them a workhorse of experimental social psychology, especially for reaction-time, judgment, and affect studies where many trials per person are feasible. The design's power comes with the need to control order and carryover effects through counterbalancing, and to analyze the data with repeated-measures or mixed-effects models that respect the non-independence of observations from the same person.