Learn how to identify and separate LGBTQ+-related data in SPSS using moderate to large datasets /

This dataset is designed to teach how to identify and separate LGBTQ+-related data in SPSS using moderate to large datasets. The dataset is a subset of data derived from convenience sample research at the University of Connecticut. This research explores television's impact on relationships. Sp...

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Bibliographic Details
Main Author:	Waggoner, Erin B., 1983- (Author)
Format:	eBook
Language:	English
Published:	London : SAGE Publications Ltd, 2026.
Subjects:	SPSS (Computer file) Gender identity in mass media > Data processing. Sexual orientation > Data processing. Television > Social aspects > Data processing. Qualitative research > Methodology. Electronic books.
Online Access:	Connect to the full text of this electronic book

Description
Summary:	This dataset is designed to teach how to identify and separate LGBTQ+-related data in SPSS using moderate to large datasets. The dataset is a subset of data derived from convenience sample research at the University of Connecticut. This research explores television's impact on relationships. Specifically, this dataset guide provides an example of how to identify and separate gender identity and sexual orientation for work associated with media representation and identity. The dataset file is accompanied by a teaching guide, a student guide, and a how-to guide.
Physical Description:	1 online resource : illustrations
ISBN:	9781036242329 1036242323