Introducing Artificial Neural Networks in SPSS | Analysis and Interpretation

Introducing Artificial Neural Networks in SPSS | Analysis and Interpretation

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Introducing Artificial Neural Networks in SPSS | Analysis and Interpretation
In this video, I will demonstrate how to run an artificial neural network (ANN) analysis in SPSS and interpret the output. The concepts discussed include multilevel perceptron ANN, deep learning, hidden layer, accuracy, specificity, sensitivity, training, and testing. Related papers and books are as follows: 1. Cambridge-Michigan report: https://michiganassessment.org/wp-content/uploads/2020/02/20.02.pdf.Res_.PredictingListeningItemDifficultywithLanguageComplexityMeasures-AComparativeDataMiningStudy.pdf 2. Research paper: https://www.tandfonline.com/doi/full/10.1080/10627197.2016.1166343 3. Quantitative book: https://www.routledge.com/Quantitative-Data-Analysis-for-Language-Assessment-Volume-II-Advanced-Methods/Aryadoust-Raquel/p/book/9781138733145