Mehrebenenanalyse

Tausendpfund, Markus

doi:10.1007/978-3-658-30237-5_5

Cited by 9 publications

(6 citation statements)

References 55 publications

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“…Furthermore, our design effect is above 4 and fulfills the “golden rule”, which states that it should be above 2 to require MLMs ( 46 ). Finally, according to Huang ( 45 ) and Tausendpfund ( 44 ), the use of MLMs should be based on theoretical arguments, such as the uniqueness of each municipality with its individual social and economic characteristics ( 28 ).…”

Section: Resultsmentioning

confidence: 99%

“…The use of MLM enables the analysis of hierarchical data in an appropriate manner. It considers the effects between variables from multiple levels and may identify relationships that would remain undetected in OLS ( 44 ). Two conditions should be fulfilled in MLM: First, the theoretical assumption of a contextual-level influence should be reasonable.…”

Section: Methodsmentioning

confidence: 99%

“…Another indication for using MLMs is a high intraclass correlation coefficient (ICC). ICC represents the amount of variance attributable to the higher level—how much variance can be explained by the structural conditions in the estimation ( 44 ). Closely connected to the ICC is the design effect, which indicates to what extent the standard errors in a complex sample are underestimated compared to a simple random sample ( 46 ).…”

Section: Methodsmentioning

confidence: 99%

“…The deviance is the log-likelihood value of the model multiplied by −2 and serves as a comparison tool for different models. The closer the deviance is to 0, the better the model fit ( 44 ). However, it decreases automatically when more variables are included.…”

Section: Methodsmentioning

confidence: 99%

See 3 more Smart Citations

What determines voting behavior to host the Olympic games in the Rhine-Ruhr area: a multilevel model

Menge,

Bühren,

Schlesinger

2024

Front. Sports Act. Living

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This study analyzes factors influencing public support for hosting the Summer Olympics in the Rhine-Ruhr (RR) region in 2036 or 2040. Analyzing data from 14 municipalities, a multilevel model is used to account for individual and contextual factors. Despite a high overall endorsement rate of 67%, the study shows that consumer capital, pride, perception of sustainability, and historical significance significantly influence voting behavior. Surprisingly, structural factors at the municipal level do not show a significant influence. This research provides valuable insights for policymakers and organizers considering future Olympic bids in the RR region. The results emphasize the importance of effective communication to gain public support. This communication should highlight the environmental and economic sustainability of the host community, historical significance, and intangible benefits such as pride.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

What determines voting behavior to host the Olympic games in the Rhine-Ruhr area: a multilevel model

Menge,

Bühren,

Schlesinger

2024

Front. Sports Act. Living

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show abstract

“…The value of 0.05 is given as a guideline for the lower limit of the ICC. However, multilevel analysis can also be estimated at a lower value if theoretical arguments support it (Tausendpfund, 2020). The calculated ICCs are low and since three of the four models show ICCs over 0.05, the application of a multilevel analysis can be justified and differences in the behavior between the classes can be found (see Bliese, 1998).…”

Section: Relevance Of Child and Classroom Variables (Preliminary Anal...mentioning

confidence: 99%

The relationship between young children’s personal values and their teacher-rated behaviors in the classroom

et al. 2023

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There has been little research on the relationships between children’s personal values and the behaviors that express such values in the school context. In the present study, we examined for the first time with children at this young age, the relations between values and their value-related behaviors, i.e., supportive, disciplined, learning-oriented, and achievement-oriented, in the primary school context. The sample consisted of 952 primary school children (51.5% boys; Mage = 7.93; SD = 0.35). Data used in this study were collected in 2022 in Switzerland. A multilevel analysis confirmed the hypothesis that systematic relationships between values and teacher-rated behaviors can be demonstrated with young children. However, gender was the strongest predictor of teacher-rated children’s classroom behaviors. The results highlight the significance of understanding children’s value-behavior relations, teachers’ possible gender stereotypes of children’s behaviors, and its practical importance in the school context.

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Untersuchungsmethode

Tausendpfund¹

2022

Forschungsstrategien in Den Sozialwissenschaften

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Mehrebenenanalyse

Cited by 9 publications

References 55 publications

What determines voting behavior to host the Olympic games in the Rhine-Ruhr area: a multilevel model

What determines voting behavior to host the Olympic games in the Rhine-Ruhr area: a multilevel model

The relationship between young children’s personal values and their teacher-rated behaviors in the classroom

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