Dataset for: Keep on scrolling? Using intensive longitudinal smartphone sensing data to assess how everyday smartphone usage behaviors are related to well-being.

große Deters, Fenne; Schoedel, Ramona

Research Data

Dataset for: Keep on scrolling? Using intensive longitudinal smartphone sensing data to assess how everyday smartphone usage behaviors are related to well-being.

Author(s) / Creator(s)

große Deters, Fenne

Schoedel, Ramona

Abstract / Description

We present the dataset for the article "Keep on scrolling? Using intensive longitudinal smartphone sensing data to assess how everyday smartphone usage behaviors are related to well-being". The data were collected as part of the Smartphone Sensing Panel Study and comprise several dataset parts, as we replicated our analysis for two different 14-day measurement periods (A and B). At the macro level, we aggregated different measures of smartphone use (measured by mobile sensing) over 14 days and examined their associations with global survey-based measures of well-being (Flourishing, Satisfaction WIth Life, Positive Activation, Negative Activation, Valence; Dataset A: N = 236, Dataset B: N = 305). At the micro level, we aggregated various measures of smartphone use (measured via mobile sensing) over 60-minute windows before asking participants about their current mood using experience sampling questionnaires (Dataset A: N = 378, n = 5775; Dataset B: N = 534, n = 7287). In our supplementary analysis, we also aggregated the smartphone usage data for 15-minute windows to analyse social and non-social situations. Demographic variables (age, gender, education) that were not used for the data analyses were removed for privacy reasons, but can be provided upon request. The datasets are documented by a comprehensive accompanying codebook. Additional materials (e.g., preprocessing and analysis code) can also be found at https://osf.io/ckwge/ Further details on the variables provided and the associated study procedures can be found in the journal article: große Deters, F., & Schoedel, R. (2024). Keep on scrolling? Using intensive longitudinal smartphone sensing data to assess how everyday smartphone usage behaviors are related to well-being, Computers in Human Behavior, 150, 107977, https://doi.org/10.1016/j.chb.2023.107977

Keyword(s)

Mobile Sensing Smartphone Usage Well-Being intensive longitudinal data

Persistent Identifier

https://doi.org/10.23668/psycharchives.13692

Date of first publication

2023-11-27

Publisher

PsychArchives

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Codebook_complete.pdf

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Description: Codebook for all datasets
macro_datasetA.csv

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Description: Macro level analysis: Dataset A
macro_datasetB.csv

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Description: Macro level analysis: Dataset B
micro_datasetA_15min.csv

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Description: Supplementary Analysis: Dataset A
micro_datasetA.csv

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Description: Micro level analysis: Dataset A
micro_datasetB_15min.csv

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Description: Supplementary Analysis: Dataset B
micro_datasetB.csv

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Description: Micro level analysis: Dataset B

Is related to

Preregistration
Basic Protocol: Smartphone Sensing Panel Study

Schoedel, Ramona & Oldemeier, Michelle, 2020-05-14,

The study Smartphone Sensing Panel Study aims to create a benchmark dataset for the scientific community, including three data collection modalities: (1) smartphone sensing (2) experience sampling, and (3) monthly online surveys. The study is a panel study lasting for three to six months and resulting in high-dimensional and longitudinal behavioral and situational sensing data, self-report data in situ, and traditional questionnaire data about a broad range of psychological traits and phenomena. A quota sample of N = 800 participants is recruited and asked to install the research app PhoneStudy for three to six months. During the period of study participation, sensing data is continuously logged. Sensing data collection is complemented by monthly online surveys and experience sampling periods
Preregistration
Everyday fragmentation through smartphone usage and affective well-being

Schödel, Ramona & große Deters, Fenne, 2021-05-14, PsychArchives

Smartphone usage might interfere with and interrupt offline activities . These interruptions can be exogenous or endogenous . The resulting distraction and disengagement from the unmediated environment can pose a threat to affective well-being. So far, the focus in the literature on the effects of smartphone usage and well-being is on total time of usage or usage at specific times of the day (e.g., nighttime). However, we hypothesize that not necessarily longer periods of smartphone usage but the continuous small interruptions during daily life are detrimental to our affective well-being. We will combine smartphone sensing, experience sampling, and questionnaire data collected in the Smartphone Sensing Panel study (SSPS) to investigate this hypothesis on an inter- and intra-individual level. In this preregistration protocol, we specify diverse plausible operationalizations for both predictors and outcomes. We also preregister the multiverse of models we will build based on the variety of variables available.

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Author(s) / Creator(s)

große Deters, Fenne
Author(s) / Creator(s)

Schoedel, Ramona
PsychArchives acquisition timestamp

2023-11-27T13:20:46Z
Made available on

2023-11-27T13:20:46Z
Date of first publication

2023-11-27
Abstract / Description

We present the dataset for the article "Keep on scrolling? Using intensive longitudinal smartphone sensing data to assess how everyday smartphone usage behaviors are related to well-being". The data were collected as part of the Smartphone Sensing Panel Study and comprise several dataset parts, as we replicated our analysis for two different 14-day measurement periods (A and B). At the macro level, we aggregated different measures of smartphone use (measured by mobile sensing) over 14 days and examined their associations with global survey-based measures of well-being (Flourishing, Satisfaction WIth Life, Positive Activation, Negative Activation, Valence; Dataset A: N = 236, Dataset B: N = 305). At the micro level, we aggregated various measures of smartphone use (measured via mobile sensing) over 60-minute windows before asking participants about their current mood using experience sampling questionnaires (Dataset A: N = 378, n = 5775; Dataset B: N = 534, n = 7287). In our supplementary analysis, we also aggregated the smartphone usage data for 15-minute windows to analyse social and non-social situations. Demographic variables (age, gender, education) that were not used for the data analyses were removed for privacy reasons, but can be provided upon request. The datasets are documented by a comprehensive accompanying codebook. Additional materials (e.g., preprocessing and analysis code) can also be found at https://osf.io/ckwge/ Further details on the variables provided and the associated study procedures can be found in the journal article: große Deters, F., & Schoedel, R. (2024). Keep on scrolling? Using intensive longitudinal smartphone sensing data to assess how everyday smartphone usage behaviors are related to well-being, Computers in Human Behavior, 150, 107977, https://doi.org/10.1016/j.chb.2023.107977

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Review status

peerReviewed
Sponsorship

The dataset comes from the Smartphone Sensing Panel Study, which is a joint project of LMU Munich and the Leibniz Institute of Psychology (ZPID). ZPID provided most of the funding to conduct this study.

en
External description on another website

https://osf.io/ckwge/
Persistent Identifier

https://hdl.handle.net/20.500.12034/9172
Persistent Identifier

https://doi.org/10.23668/psycharchives.13692
Language of content

eng
Publisher

PsychArchives
Is part of series

Smartphone Sensing Panel Study

en
Is related to

https://doi.org/10.23668/psycharchives.2901
Is related to

https://doi.org/10.23668/psycharchives.4822
Keyword(s)

Mobile Sensing

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Keyword(s)

Smartphone Usage

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Keyword(s)

Well-Being

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Keyword(s)

intensive longitudinal data

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Dewey Decimal Classification number(s)

150
Title

Dataset for: Keep on scrolling? Using intensive longitudinal smartphone sensing data to assess how everyday smartphone usage behaviors are related to well-being.

en
DRO type

researchData
Visible tag(s)

Smartphone Sensing Panel Study

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