33 レッスン
ページ 2 / 6
Use the shared synthetic design-talk dataset to practise choosing how many nearby rows may contribute to a modeled connection and why that span represents meaningful context in the activity, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.
審査済みチュートリアルの本文は現在英語で提供されています。
チュートリアルを開くUse the shared synthetic design-talk dataset to practise distinguishing how often a code occurs from how strongly it connects with other codes under the selected window, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.
審査済みチュートリアルの本文は現在英語で提供されています。
チュートリアルを開くUse the shared synthetic design-talk dataset to practise aligning the network unit with hierarchical data such as turns within students, students within teams, and teams within classrooms, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.
審査済みチュートリアルの本文は現在英語で提供されています。
チュートリアルを開くUse the shared synthetic design-talk dataset to practise determining whether a group-level network pattern is broadly shared or driven by a small number of unusual units, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.
審査済みチュートリアルの本文は現在英語で提供されています。
チュートリアルを開くUse the shared synthetic design-talk dataset to practise comparing the same units across time or conditions without treating repeated networks as unrelated observations, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.
審査済みチュートリアルの本文は現在英語で提供されています。
チュートリアルを開くUse the shared synthetic design-talk dataset to practise representing the sampling uncertainty around group locations, edge differences, and effect estimates instead of treating plotted means as exact, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.
審査済みチュートリアルの本文は現在英語で提供されています。
チュートリアルを開く