| Title |
Gender Differences in Resistance to Schooling: The Role of Dynamic Peer-Influence and Selection Processes
|
|---|---|
| Published in |
Journal of Youth and Adolescence, May 2017
|
| DOI | 10.1007/s10964-017-0696-2 |
| Pubmed ID | |
| Authors |
Sara Geven, Jan O. Jonsson, Frank van Tubergen |
| Abstract |
Boys engage in notably higher levels of resistance to schooling than girls. While scholars argue that peer processes contribute to this gender gap, this claim has not been tested with longitudinal quantitative data. This study fills this lacuna by examining the role of dynamic peer-selection and influence processes in the gender gap in resistance to schooling (i.e., arguing with teachers, skipping class, not putting effort into school, receiving punishments at school, and coming late to class) with two-wave panel data. We expect that, compared to girls, boys are more exposed and more responsive to peers who exhibit resistant behavior. We estimate hybrid models on 5448 students from 251 school classes in Sweden (14-15 years, 49% boys), and stochastic actor-based models (SIENA) on a subsample of these data (2480 students in 98 classes; 49% boys). We find that boys are more exposed to resistant friends than girls, and that adolescents are influenced by the resistant behavior of friends. These peer processes do not contribute to a widening of the gender gap in resistance to schooling, yet they contribute somewhat to the persistence of the initial gender gap. Boys are not more responsive to the resistant behavior of friends than girls. Instead, girls are influenced more by the resistant behavior of lower status friends than boys. This explains to some extent why boys increase their resistance to schooling more over time. All in all, peer-influence and selection processes seem to play a minor role in gender differences in resistance to schooling. These findings nuance under investigated claims that have been made in the literature. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 73 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 11% |
| Student > Master | 8 | 11% |
| Student > Bachelor | 7 | 10% |
| Student > Doctoral Student | 5 | 7% |
| Student > Postgraduate | 3 | 4% |
| Other | 10 | 14% |
| Unknown | 32 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 12 | 16% |
| Psychology | 12 | 16% |
| Nursing and Health Professions | 4 | 5% |
| Medicine and Dentistry | 4 | 5% |
| Economics, Econometrics and Finance | 2 | 3% |
| Other | 6 | 8% |
| Unknown | 33 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 December 2017.
All research outputs
#16,154,582
of 24,773,594 outputs
Outputs from Journal of Youth and Adolescence
#1,348
of 1,856 outputs
Outputs of similar age
#192,607
of 321,144 outputs
Outputs of similar age from Journal of Youth and Adolescence
#20
of 32 outputs
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