Literature DB >> 31890776

Meta-analysis data concerning popularity, theory of mind and interaction in experiments.

Akihito Imai1.   

Abstract

This article describes data of effect sizes in studies on an association between theory of mind (ToM) and popularity. The data included 1946 children from 17 studies (22 effect sizes). The data are suitable for and were subjected to meta-regression to compare effect sizes of an interaction group (ToM was assessed in person) with that of non-interaction (ToM was assessed by computer).
© 2019 The Author(s).

Entities:  

Keywords:  Interaction; Meta-analysis; Popularity; Theory of mind

Year:  2019        PMID: 31890776      PMCID: PMC6931060          DOI: 10.1016/j.dib.2019.104890

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications Table Data cover 1946 children from 17 studies (22 effect sizes), which allow for a reinvestigation of theory of mind. Data are suitable for meta-analysis to review the relationships between variables. Data may be used to increase awareness about overlooked effect sizes as well as can be used to compare with new results.

Data

The dataset contains data concerning popularity, theory of mind and interaction in experiments obtained from previous studies and were deposited at Open Science Framework. Data were extracted from peer-reviewed journal articles published until March 2017. According to criteria (see 2.1. Design, materials, and methods), 17 studies (22 effect sizes) were identified. Detailed characteristics were coded for each study and presented in Table 1. As shown, a total of 1946 children were included. Pearson correlation coefficient or r between theory of mind (ToM) and popularity varied from −0.06 to 0.49. Gender ratio varied from 0.42 to 0.58. Four effect sizes were assessed by computer (non-interaction) and 18 were assessed in person (interaction).
Table 1

Characteristics of studies included in the meta-regression.

StudyNrGirl ratioInteractionAssessment byNote
Banerjee & Watling (2005) year 1 cohort [1]1130.070.52Noa multimedia computer interfacesynthesized (.08, .04, .09)
Banerjee & Watling (2005) year 4 cohort [1]1950.140.43Noa multimedia computer interfacesynthesized (.20, .09, .23)
Banerjee et al. (2011) younger group [2]720.190.57Noa multimedia computer interfacesynthesized (.07, .16, .19, .05, .29, .39)
Banerjee et al. (2011) older group [2]1380.110.43Noa multimedia computer interfacesynthesized (.09, .23, .02, .11)
Braza et al. (2009) [3]980.210.56Yesqualified, trained researchers
Caputi et al. (2012) [4]700.050.44Yesthe experimentersynthesized (.02, .04, .06, .07), time 2, 3
Cassidy et al. (2003) [5]670.220.52Yestwo female experimenterssynthesized (.09, .34)
Dockett & Degotardi (1997) [6]240.460.54Yesthe researcher
Fink et al. (2014) [7]1140.300.49Yesthe experimentersynthesized (.35, .25), time 1, 2
Fink et al. (2015) [8]1140.350.49Yesinterviewd individuallytime 1
Flynn & Whiten (2012) [9]880.340.58Yesthe experimenter
Hoglund et al. (2008) grade 2 [10]1140.150.50Yesthe first author, research assistant helpers
Kuhnert et al. (2017) [11]1140.120.49Yesinterviewd individuallysynthesized (.28, −.08), time 1, 2
Mizokawa & Koyasu (2011) [12]1020.190.55Yesthe experimenter, the recordersynthesized (.15, .32, .13, .15)
Morino (2005) junior class [13]43−0.060.51Yesthe experimenter
Morino (2005) middle class [13]470.240.51Yesthe experimenter
Morino (2005) senior class [13]470.400.49Yesthe experimenter
Peterson & Siegal (2002) [14]1090.320.40Yesthe tester, the experimentersynthesized (.31, .33)
Slaughter et al. (2002) study 1 [15]780.270.47Yesa female experimenter
Slaughter et al. (2002) study 2 [15]870.110.47Yesa female experimenter
Spence (1987) [16]600.490.47Yesone of two research assistants
Watson et al. (1999) study 2 [17]520.410.42Yesthe experimenter
Characteristics of studies included in the meta-regression.

Experimental design, materials, and methods

Design, materials, and methods

The electronic databases, Psych INFO and Google Scholar were searched for relevant articles in March 2017. Search terms were as follows: “popularity,” “sociometric,” “peer acceptance,” “peer likability,” “peer rejection,” “peer status,” “peer evaluation,” “peer nomination,” “peer relations,” “ToM,” “mindreading,” “mentalizing,” “false belief,” “mental representations,” “mind understanding,” and “mental states” as used in a previous meta-analysis [18]. The Japanese database, J-STAGE, was also used to collect articles in Japanese. Citation search was also conducted. The following inclusion criteria were used (criteria (i) to (iii) followed previous meta-analysis [18]): (i) Only healthy preschool or school-aged children under 10 years could participate; (ii) ToM had to be assessed by more than one of false-belief understanding, hidden emotion, affective perspective-taking, or faux pas tasks; (iii) Sociometric or perceived popularity had to be assessed by a peer or a teacher; (iv) Effect size(s), N and gender ratio must be reported or convertible. An association between ToM and popularity was evaluated by Pearson correlation coefficient or r. If multiple coefficients were reported in a study, these were synthesized into one coefficient unless a study has multiple age groups; (v) Measures of ToM have to be identifiable (computer or person). Coding is organized based on whether ToM was assessed by computer or in person such as researcher and experimenter. Studies assessing ToM by computer are categorized as a non-interaction group and those assessing ToM in person are categorized as an interaction group; (vi) Peer-reviewed articles were from publication in either English or Japanese.

Meta-analysis

Random-effects meta-regression was employed. The statistical software Stata 15.0 was used for all data analysis. The meta-regression algorithm was implemented by using version 2.6.1 of the metareg command [19]. Publication bias was assessed by using version 4.1.0 of the metabias command [20]. The result of meta-regression, without fitting any covariates, showed that effect size was associated with interaction in the experiments, β = 0.134 (95%CI 0.006 - 0.262), p = .041, and between-study heterogeneity (I2res) was 27.68%. After controlling for gender, the result was consistent, β = 0.137 (95%CI 0.003 - 0.272), p = .046, I2res = 30.82%. To overcome the small sample size which increases the chance of a false-positive (type I) error, permutation analysis was implemented. The result was marginally significant (p = .083). The result of Egger's test showed that publication bias was non-significant (p = .735).

Conflict of interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Specifications Table

SubjectDevelopmental and Educational Psychology
Specific subject areaTheory of mind
Type of dataTable
How data were acquiredData was acquired from the published articles.
Data formatRaw and Analyzed
Parameters for data collectionPublication year, age, gender ratio, Pearson correlation coefficient between theory of mind and popularity, and assessment type (by computer and in person) were extracted from the studies included.
Description of data collectionData were extracted from peer-reviewed journal articles, according to inclusion criteria. The electronic databases were searched for relevant articles. Citation search was also conducted.
Data source locationKobe, Japan
Data accessibilityData is within this article and repository.Repository name: Open Science FrameworkData identification number: 82auqDirect URL to data: https://osf.io/82auq/
Value of the Data

Data cover 1946 children from 17 studies (22 effect sizes), which allow for a reinvestigation of theory of mind.

Data are suitable for meta-analysis to review the relationships between variables.

Data may be used to increase awareness about overlooked effect sizes as well as can be used to compare with new results.

  9 in total

1.  Peer relations and the understanding of faux pas: longitudinal evidence for bidirectional associations.

Authors:  Robin Banerjee; Dawn Watling; Marcella Caputi
Journal:  Child Dev       Date:  2011-10-24

2.  Meta-Analysis of Theory of Mind and Peer Popularity in the Preschool and Early School Years.

Authors:  Virginia Slaughter; Kana Imuta; Candida C Peterson; Julie D Henry
Journal:  Child Dev       Date:  2015-04-15

3.  False-belief understanding and social preference over the first 2 years of school: a longitudinal study.

Authors:  Elian Fink; Sander Begeer; Caroline Hunt; Marc de Rosnay
Journal:  Child Dev       Date:  2014-10-07

4.  Social cognitive predictors of peer acceptance at age 5 and the moderating effects of gender.

Authors:  Francisco Braza; Aitziber Azurmendi; José M Muñoz; María R Carreras; Paloma Braza; Ainhoa García; Aizpea Sorozabal; José R Sánchez-Martín
Journal:  Br J Dev Psychol       Date:  2009-09

5.  Friendlessness and theory of mind: a prospective longitudinal study.

Authors:  Elian Fink; Sander Begeer; Candida C Peterson; Virginia Slaughter; Marc de Rosnay
Journal:  Br J Dev Psychol       Date:  2014-09-02

6.  Social interaction skills and theory of mind in young children.

Authors:  A C Watson; C L Nixon; A Wilson; L Capage
Journal:  Dev Psychol       Date:  1999-03

7.  Experimental "microcultures" in young children: identifying biographic, cognitive, and social predictors of information transmission.

Authors:  Emma Flynn; Andrew Whiten
Journal:  Child Dev       Date:  2012-03-14

8.  Gender-differentiated effects of theory of mind, emotion understanding, and social preference on prosocial behavior development: A longitudinal study.

Authors:  Rebecca-Lee Kuhnert; Sander Begeer; Elian Fink; Marc de Rosnay
Journal:  J Exp Child Psychol       Date:  2016-10-22

9.  Longitudinal effects of theory of mind on later peer relations: the role of prosocial behavior.

Authors:  Marcella Caputi; Serena Lecce; Adriano Pagnin; Robin Banerjee
Journal:  Dev Psychol       Date:  2011-09-05
  9 in total

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