Descriptive Statistics

Haden, Patricia

doi:10.1017/9781108654555.006

Cited by 12 publications

(5 citation statements)

References 1,531 publications

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“…For this purpose, blank submissions and obvious false information, such as 1-or 5-star ratings on all items (controlled by negatively formulated statements), have been removed from the dataset. Data analyses were performed with descriptive statistics (means, effect-sizes), and with t-test, and two-way ANOVA to assess the extent to which the intervention had an impact on students under the consideration of gender and environmental conditions [38], [39].…”

Section: Methodsmentioning

confidence: 99%

Engaging Girls in Computer Science: Do Single-Gender Interdisciplinary Classes Help?

Marquardt

Wagner

Happe

2023

2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering Education and Training (ICSE-SEET)

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Computing-driven innovation cannot reach its full potential if only a fraction of the population is involved. Without girls and their non-stereotypical contribution, the innovation potential is severely limited. In computer science (CS) and software engineering (SE), the gender gap persists without any positive trend. Many girls find it challenging to identify with the subject of CS. However, we can capitalize on their interests and create environments for girls through interdisciplinary subcultures to spark and foster enthusiasm for CS. This paper presents and discusses the results of an intervention in which we applied a novel interdisciplinary online course in data science to get girls excited about CS and programming by contributing to the grand goal of solving colony collapse disorder from biology and geoecology. The results show the potential of such programs to get girls excited about programming, but also important implications in terms of the learning environment. The startling results show that girls from single-gender classes (SGCs) are significantly more open to CS-related topics and that the intervention evoked significantly more positive feelings in them than in girls from mixed-gender classes (MGCs). The findings highlight the importance of how CS-related topics are introduced in school and the crucial impact of the learning environment to meet the requirements of truly gender-inclusive education.

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Section: Methodsmentioning

confidence: 99%

Engaging Girls in Computer Science: Do Single-Gender Interdisciplinary Classes Help?

Marquardt

Wagner

Happe

2023

2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering Education and Training (ICSE-SEET)

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“…We used descriptive statistics to analyze data related to the above criteria and sought to spell out implications and recommendations. We applied two types of descriptive statistics: frequency distribution (numbers or percentages) and measures of central tendency, such as the mean [45].…”

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confidence: 99%

Implementation of Sustainable Development Goal 11 (Sustainable Cities and Communities): Initial Good Practices Data

Nabiyeva,

Wheeler,

London

et al. 2023

Sustainability

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The Sustainable Development Goals (SDGs) represent a central framework for guiding sustainable urban development. However, it is not clear how and where SDG 11 (Sustainable Cities and Communities) is being implemented, and how such implementation might be improved. We investigate this subject by analyzing United Nations (UN) SDG Good Practices data from 2018 to 2021, using content analysis, classification, and descriptive statistics. The resulting analysis and classification is new in this field. We applied five criteria to the 336 SDG 11 responses: (1) geography; (2) actors; (3) progress toward targets; (4) areas of implementation; and (5) scale of action. Overall, 86 of the 193 countries that adopted the 2030 Agenda submitted at least one SDG 11 good practice. Thirty-three countries contributed 73.8% of the total, and most developing countries did not make submissions. A very small number of responses (between 2.6 and 9.1%) addressed equity-related targets. Good practices from developed countries were usually more technology-oriented and system-forming; developing countries typically focused on issues of day-to-day concern. This analysis points to the need for better and more systematic reporting on SDG 11 implementation, a more active public sector role in SDG implementation and reporting, more focus on dimensions related to social equity, and better formulation of urban sustainability targets and indicators.

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“…From the linear regression analysis, we calculated the test statistic, t, as 3.254 with a corresponding p-value of 0.00576, which indicates statistical significance based on our 95% confidence threshold and corresponding 0.05 alpha value. The calculated effect size, Pearson's correlation coefficient, r, was 0.656, which indicates a strong correlation according to Haden's threshold of 0.6 (Haden, 2019). A graphical representation of the linear regression is presented below in Figure 3.…”

Section: Rq1a: Are Peer-reviewed Research Publications Effective Diss...mentioning

confidence: 93%

Proposing a Response Hierarchy Model to Explain How CS Faculty Adopt Teaching Interventions in Higher Education

Deitrick,

Ball,

McHugh

2023 ASEE Annual Conference &Amp; Exposition Proceedings

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Descriptive Statistics

Cited by 12 publications

References 1,531 publications

Engaging Girls in Computer Science: Do Single-Gender Interdisciplinary Classes Help?

Engaging Girls in Computer Science: Do Single-Gender Interdisciplinary Classes Help?

Implementation of Sustainable Development Goal 11 (Sustainable Cities and Communities): Initial Good Practices Data

Proposing a Response Hierarchy Model to Explain How CS Faculty Adopt Teaching Interventions in Higher Education

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