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Development of questionnaires measuring the engagement

and the motives related to TV series watching

Maèva Flayelle

1

, Pierre Maurage

2

, Laurent Karila

3

& Joël Billieux

1,4 1 Laboratory for the Study of Addictive and Compulsive Behaviors, Institute for Health and Behavior, Integrative Research Unit on Social and Individual Development (INSIDE), University of Luxembourg, Esch-sur-Alzette, Luxembourg

2 Laboratory for Experimental Psychopathology (LEP), Psychological Sciences Research Institute, Université catholique de Louvain, Louvain-la-Neuve, Belgium

3 Hopital Universitaire Paul Brousse, service d’addictologie, Université Paris Sud (INSERM U1000), Villejuif, France 4 Internet and Gambling Disorders Clinic, Department of Adult Psychiatry, Cliniques Universitaires Saint-Luc,

Brussels, Belgium

Binge-watching (i.e., seeing multiple episodes of the same TV series in a row): widespread phenomenon.

Might lead to excessive involvement and adverse consequences.

Confirmatory approach

[1,2]

(applying the classical criteria used for other addictive disorders) to deal with

emerging potentially addictive-like behaviors: has already been applied to TV series watching

[3]

.

Lack of knowledge about the psychological factors underlying binge-watching, lack of topic-focused screening

instruments to explore it.

Progression of self-reported binge-watchers between 2013

and 2016

[4,5]

To develop two quantitative tools respectively measuring

:

î

the motives to engage in TV series watching (Watching TV Series Motives

Questionnaire - WTSMQ)

î

the symptoms of excessive binge-watching (Binge-Watching Engagement

Questionnaire - BWEQ)

building on the investigation of the unique phenomenological

characteristics of TV series watching

First items

generation

Qualitative data

collection

Final instruments

adaptation

Procedure followed for questionnaire design

Based on the available

literature

[6-11]

and the

authors’ knowledge

Focus group with seven

regular TV series viewers

Thematic content analysis

Revisions to exclude

redundancies and

irrelevant aspects, and to

add residual features that

have not been captured at

the first step

METHOD

UPPS-P: French UPPS-P Impulsive Behavior Scale ERS: French Emotion Reactivity Scale

PANAS: Positive and Negative Affect Schedule CIUS: French Compulsive Internet Use Scale AUDIT: Alcohol Use Disorder Identification Test FTND: Fagerstrom Test for Nicotine Dependence

• An exploratory factor analysis (EFA) was conducted in a subsample for each

questionnaire with SPSS Statistics 24. Factors were extracted using a principal

component analysis method and rotated using an oblique rotation method (Promax).

Exploratory factor analysis (EFA) of WTSMQ items (N=3278)

• The EFA of WTSMQ indicated 5 factors. Factor retention: parallel analysis = 5

factors; MAP Test = 3 factors; Scree Plot = 5 factors.

Exploratory factor analysis (EFA) of BWEQ items (N=2634)

• The 5-factors-structure for measuring TV series watching motivations and the 7-factors-structure for measuring

binge-watching engagement were stable across 2 samples.

• Cronbach’s alpha indicated good reliability of all factors with the exception of the “Relaxation” component which will be

examined through the subsequent statistical analysis.

• Next steps:

• Confirmatory factor analysis (CFA)

• Analyses of potential correlates

The EFA of BWEQ indicated 7 factors. Factor retention: parallel analysis = 7 factors; MAP

Test = 4 factors; Scree Plot = 7 factors.

REFERENCES

[1] Kardefelt-Winther et al. Addiction 2017; [2] Billieux et al. Journal of Behavioral Addictions 2015; 4: 119–123; [3] Orosz et al. Journal of Behavioral Addictions 2016; 5(1): 144–150; [4] « Netflix declares binge-watching is the new normal » [online]; [5] « Original streamed series top binge viewing survey for first time » [online] ; [6]

American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders - 5th ed. Washington DC: American Psychiatric Association 2013; [7]

Camart & Zebdi. Colloque international Séries et Dépendance 2016, Nanterre, France; [8] Combes. La pratique des séries télévisées : une sociologie de l’activité

spectatorielle 2013; Economies et finances. Ecole Nationale Supérieure des Mines de Paris; [9] Décamps et al. Psychologie Française 2010; (55): 279-294; [10] Yee.

CyberPsychology & Behavior 2007; 9(6): 772–775; [11] Young. Caught in the Net: How to recognize the signs of Internet addiction – and a winning strategy 1998; New York: John Wiley & Sons.

Measures

Participants – Online surveyed

WTSMQ

BWEQ

22,4%

77,6%

years old

Average age

20,5%

79,5%

UPPS-P ERS PANAS AUDIT CIUS FTND

regular TV

series viewers

6556

Factor 1

Coping

α

= .78

WTSMQ

e.g., “I watch TV

shows to escape reality and to retreat into a

fictional world” (.75)

e.g., “I watch TV

shows to find reflection on topics that are of interest to me” (.77)

e.g., “I watch TV shows to experience high emotions such as the excitement or the thrill that they may elicit” (.73)

e.g., “I watch TV shows to make sure I am not out of touch as

everyone is talking about it and as most of my friends are watching TV shows” (.74)

e.g., “I watch TV shows to

relax after a working day” (.73)

Factor 2

Enrichment

α = .70

Factor 3

Emotional

experience

α = .62

Factor 4

Social

α = .63

Factor 5

Relaxation

α

= .44

Factor 1

Overwatching

α = .81

e.g., “I feel tense, irritable or restless when I can not watch my TV show” (.83)

Factor 2

Engagement

α = .80

Factor 3

Dependency

α = .76

Factor 5

Positive

emotions

α = .64

Factor 7

Pleasure

preservation

α = .62

Factor 4

Anticipation

α = .76

Factor 6

Persistence

α = .78

BWEQ

INTRODUCTION

61%

92%

OBJECTIVES

RESULTS

CONCLUSION AND PERSPECTIVES

24

e.g., “I watch TV shows more than I should” (.66)

e.g., “To others I am considered an

information source on anything to do with TV series” (.79)

e.g., “I look forward to

discovering new episodes of my TV show” (.68)

e.g., “Watching an episode of my TV show arouses in me mostly positive emotions (e.g., enthusiasm, interest, excitement, inspiration, etc)” (.78)

e.g., “At the end of the episode, because of the desire to find out what happens next, I frequently feel an increasing and

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