The Effect of Computer Assisted Instruction: On Eight Grade Students’ Permutation-Combination-Probability Achievement and Attitudes Towards Computer Assisted Instruction - Softcover

Kapucu, Tuğba

 
9783330088207: The Effect of Computer Assisted Instruction: On Eight Grade Students’ Permutation-Combination-Probability Achievement and Attitudes Towards Computer Assisted Instruction
Softcover
ISBN 10: 3330088206 ISBN 13: 9783330088207
Verlag: LAP LAMBERT Academic Publishing, 2019

Inhaltsangabe

The purpose of this study was to examine the effects of computer assisted instructional material prepared in R programme, on eight grade students’ permutation-combination and probability achievement and attitudes towards computer assisted learning. In this study, we have survey data for 74 randomly selected students which consists of 45 highly correlated explanatory variables with different measurement levels to model whether CAI material has been effective or not. For data reduction, we firstly presented pairwise comparison between schools and as a second method, we presented Categorical Principal Components Analysis to deal with multicollinearity problem among explanatory variables. Next, we used uncorrelated components instead of original correlated variables to fit regression model. While the program CATPCA in SPSS has been used in the analysis of data reduction, MINITAB 17 has been used in the analyses of linear models.

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Reseña del editor

The purpose of this study was to examine the effects of computer assisted instructional material prepared in R programme, on eight grade students’ permutation-combination and probability achievement and attitudes towards computer assisted learning. In this study, we have survey data for 74 randomly selected students which consists of 45 highly correlated explanatory variables with different measurement levels to model whether CAI material has been effective or not. For data reduction, we firstly presented pairwise comparison between schools and as a second method, we presented Categorical Principal Components Analysis to deal with multicollinearity problem among explanatory variables. Next, we used uncorrelated components instead of original correlated variables to fit regression model. While the program CATPCA in SPSS has been used in the analysis of data reduction, MINITAB 17 has been used in the analyses of linear models.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2019
Sprache
Englisch
ISBN 10 
3330088206
ISBN 13 
9783330088207
Einband
Tapa blanda
Anzahl der Seiten
188
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Verantwortliche Person
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