The Use of Questionnaire Data in Presence Studies: Do Not Seriously Likert

2007 ◽  
Vol 16 (4) ◽  
pp. 447-456 ◽  
Author(s):  
Mel Slater ◽  
Maia Garau

The problems of valid design of questionnaires and analysis of ordinal response data from questionnaires have had a long history in the psychological and social sciences. Gardner and Martin (2007, this issue) illustrate some of these problems with reference to an earlier paper (Garau, Slater, Pertaub, & Razzaque, 2005) that studied copresence with virtual characters within an immersive virtual environment. Here we review the critique of Gardner and Martin supporting their main arguments. However, we show that their critique could not take into account the historical circumstances of the experiment described in the paper, and moreover that a reanalysis using more appropriate statistical methods does not result in conclusions that are different from those reported in the original paper. We go on to argue that in general such questionnaire data is treated far too seriously, and that a different paradigm is needed for presence research—one where multivariate physiological and behavioral data is used alongside subjective and questionnaire data, with the latter not having any specially privileged role.

Leonardo ◽  
2013 ◽  
Vol 46 (5) ◽  
pp. 471-476 ◽  
Author(s):  
Joan Llobera ◽  
Kristopher J. Blom ◽  
Mel Slater

Portraying an unfolding story within an immersive virtual environment (IVE) is difficult: In an IVE, participants can pay attention to and interact with whatever they choose within the scene. Moreover, the decisions taken by virtual characters must appear consistent with their personalities and motivations but also take into account the human participants' actions, whenever relevant. Finally, the results of the interactions should satisfy a pre-established plot. In this article, the authors introduce a new two-part approach that addresses the dilemma regarding freedom of action and narrative.


2012 ◽  
Vol 13 (S1) ◽  
pp. 319-323 ◽  
Author(s):  
Francesco Ruotolo ◽  
Vincenzo Paolo Senese ◽  
Gennaro Ruggiero ◽  
Luigi Maffei ◽  
Massimiliano Masullo ◽  
...  

2017 ◽  
Vol 23 (53) ◽  
pp. 223-228
Author(s):  
Daiu MABUCHI ◽  
Yohsuke YOSHIOKA ◽  
Kosuke FUJII ◽  
Atsushi ENTA ◽  
Tomonori SANO

Author(s):  
Milica M. Lazić

Most statistical methods applied in the social sciences involve testing direct relationships among variables. However, since psychology deals with complex phenomena, this corpus of methods is not sufficient to understand the mechanisms and conditions under which certain direct relationships apply. Moderation and mediation analyzes were the first step towards understanding the more complex relationships among variables. The analysis of mediation answers the question of “how” and “why”, or through what mechanisms a particular relation is realized, while the analysis of moderation offers the answer to the question of “when”, “for whom” and “under what conditions” a particular relation between the predictor and criterion variables applies. Although the increasing use of moderation and mediation analyzes has led to advances in understanding the phenomena addressed by psychology, complex psychological theories require testing more complex models based on these analyzes. Accordingly, this paper will outline theoretical rationales for using models such as moderated mediation, moderation mediation, parallel and serial mediation, three-way interaction, and nonlinear moderation. This paper focuses on explaining the conceptual differences between these complex models, through demonstrating the need to use these models on examples of different psychological theories.


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