Determining women's sexual self-schemas through advanced computerized text analysis

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published

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Determining women's sexual self-schemas through advanced computerized text analysis. / Stanton, Amelia M.; Boyd, Ryan L.; Pulverman, Carey S. et al.
In: Child Abuse and Neglect, Vol. 46, 01.08.2015, p. 78-88.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Stanton, AM, Boyd, RL, Pulverman, CS & Meston, CM 2015, 'Determining women's sexual self-schemas through advanced computerized text analysis', Child Abuse and Neglect, vol. 46, pp. 78-88. https://doi.org/10.1016/j.chiabu.2015.06.003

APA

Stanton, A. M., Boyd, R. L., Pulverman, C. S., & Meston, C. M. (2015). Determining women's sexual self-schemas through advanced computerized text analysis. Child Abuse and Neglect, 46, 78-88. https://doi.org/10.1016/j.chiabu.2015.06.003

Vancouver

Stanton AM, Boyd RL, Pulverman CS, Meston CM. Determining women's sexual self-schemas through advanced computerized text analysis. Child Abuse and Neglect. 2015 Aug 1;46:78-88. doi: 10.1016/j.chiabu.2015.06.003

Author

Stanton, Amelia M. ; Boyd, Ryan L. ; Pulverman, Carey S. et al. / Determining women's sexual self-schemas through advanced computerized text analysis. In: Child Abuse and Neglect. 2015 ; Vol. 46. pp. 78-88.

Bibtex

@article{d8dc75ca8fd2467d9dc85ce039737ec4,

title = "Determining women's sexual self-schemas through advanced computerized text analysis",

abstract = "The meaning extraction method (MEM), an advanced computerized text analysis technique, was used to analyze women's sexual self-schemas. Participants (n= 239) completed open-ended essays about their personal feelings associated with sex and sexuality. These essays were analyzed using the MEM, a procedure designed to extract common themes from natural language. Using the MEM procedure, we extracted seven unique themes germane to sexual self-schemas: family and development, virginity, abuse, relationship, sexual activity, attraction, and existentialism. Each of these themes is comprised of frequently used words across the participants' descriptions of their sexual selves. Significant differences in sexual self-schemas were observed to covary with age, relationship status, and sexual abuse history.",

keywords = "Childhood sexual abuse, Language, Meaning extraction method, Sexual self-schema",

author = "Stanton, {Amelia M.} and Boyd, {Ryan L.} and Pulverman, {Carey S.} and Meston, {Cindy M.}",

year = "2015",

month = aug,

day = "1",

doi = "10.1016/j.chiabu.2015.06.003",

language = "English",

volume = "46",

pages = "78--88",

journal = "Child Abuse and Neglect",

issn = "0145-2134",

publisher = "Elsevier Limited",

}

RIS

TY - JOUR

T1 - Determining women's sexual self-schemas through advanced computerized text analysis

AU - Stanton, Amelia M.

AU - Boyd, Ryan L.

AU - Pulverman, Carey S.

AU - Meston, Cindy M.

PY - 2015/8/1

Y1 - 2015/8/1

N2 - The meaning extraction method (MEM), an advanced computerized text analysis technique, was used to analyze women's sexual self-schemas. Participants (n= 239) completed open-ended essays about their personal feelings associated with sex and sexuality. These essays were analyzed using the MEM, a procedure designed to extract common themes from natural language. Using the MEM procedure, we extracted seven unique themes germane to sexual self-schemas: family and development, virginity, abuse, relationship, sexual activity, attraction, and existentialism. Each of these themes is comprised of frequently used words across the participants' descriptions of their sexual selves. Significant differences in sexual self-schemas were observed to covary with age, relationship status, and sexual abuse history.

AB - The meaning extraction method (MEM), an advanced computerized text analysis technique, was used to analyze women's sexual self-schemas. Participants (n= 239) completed open-ended essays about their personal feelings associated with sex and sexuality. These essays were analyzed using the MEM, a procedure designed to extract common themes from natural language. Using the MEM procedure, we extracted seven unique themes germane to sexual self-schemas: family and development, virginity, abuse, relationship, sexual activity, attraction, and existentialism. Each of these themes is comprised of frequently used words across the participants' descriptions of their sexual selves. Significant differences in sexual self-schemas were observed to covary with age, relationship status, and sexual abuse history.

KW - Childhood sexual abuse

KW - Language

KW - Meaning extraction method

KW - Sexual self-schema

U2 - 10.1016/j.chiabu.2015.06.003

DO - 10.1016/j.chiabu.2015.06.003

M3 - Journal article

C2 - 26146161

AN - SCOPUS:84938209233

VL - 46

SP - 78

EP - 88

JO - Child Abuse and Neglect

JF - Child Abuse and Neglect

SN - 0145-2134

ER -

Research

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