Read about the various factors found to be related to good achievement. The findings outlined in these models were used as the basis for the short 2-minute videos found in the resources page.
Two home-parent models, a statistical predictive model and a non-statistical conceptual model, were developed to predict achievement and achievement controlled for ability for students in grades 3-5 using home and parent variables from the CognitiveGenesis student and parent surveys. The predictive model includes a limited number of home-parent variables to use in predicting a student’s specific achievement score using a statistical formula. The conceptual model, which includes all home-parent variables that have a meaningful relationship with achievement, can be used to help understand the causal dynamics that relate the home-parent variables to achievement. The models were selected by examining the relationship between achievement and home-parent variables in three situations: each home and parent variable was considered 1) individually, 2) in a model containing all other home and parent variables, and 3) in models with a small number of home and parent variables. Home and parent variables that showed negligible or unusual relationships with achievement or achievement controlled for ability were not included in the models. Models were tested for applicability for students in different gender, ethnic, and ability groups.
The variables in the two models are listed below. The conceptual model includes 17 home and parent variables classified under 7 broad categories and the predictive model includes 10 home and parent variables, identified with an asterisk (*).
Students can be expected to have higher achievement when their home or parents have the following characteristics:
Atmosphere of good reading materialTwo home-parent models, a statistical predictive model and a non-statistical conceptual model, were developed to predict achievement and achievement controlled for ability for students in grades 6-8 using home and parent variables from the CognitiveGenesis student and parent surveys. The predictive model includes a limited number of home-parent variables to use in predicting a student’s specific achievement score using a statistical formula. The conceptual model, which includes all home-parent variables that have a meaningful relationship with achievement, can be used to help understand the causal dynamics that relate the home-parent variables to achievement. The models were selected by examining the relationship between achievement and home-parent variables in three situations: each home and parent variable was considered 1) individually, 2) in a model containing all other home and parent variables, and 3) in models with a small number of home and parent variables. Home and parent variables that showed negligible or unusual relationships with achievement or achievement controlled for ability were not included in the models. Models were tested for applicability for students in different gender, ethnic, and ability groups.
The variables in the two models are listed below. The conceptual model includes 25 home and parent variables classified under 7 broad categories and the predictive model includes 7 home and parent variables, identified with an asterisk (*).
Students can be expected to have higher achievement when their home or parents have the following characteristics:
Atmosphere of good reading materialTwo school models, a statistical predictive model and a non-statistical conceptual model, were developed to predict the school average achievement score for students in grades 3-5 using school variables from the CognitiveGenesis student, administrator, and teacher surveys. The predictive model includes a limited number of school variables to use in predicting a student’s specific achievement score using a statistical formula. The conceptual model, which includes all school variables that have a meaningful relationship with achievement, can be used to help understand the causal dynamics that relate the school variables to achievement. The models were selected by examining the relationship between achievement and school variables in two situations: each school variable was considered 1) individually and 2) in models with a small number of school variables. School variables that showed negligible or unusual relationships with achievement were not included in the models.
The variables in the two models are listed below. The conceptual model includes 31 school variables classified under 5 broad categories and the predictive model includes 5 school variables, identified with an asterisk (*).
Schools can be expected to have higher average achievement when they have following characteristics:
Good school climateTwo school models, a statistical predictive model and a non-statistical conceptual model, were developed to predict the school average achievement score for students in grades 6-8 using school variables from the CognitiveGenesisstudent, administrator, and teacher surveys. The predictive model includes a limited number of school variables to use in predicting a student’s specific achievement score using a statistical formula. The conceptual model, which includes all school variables that have a meaningful relationship with achievement, can be used to help understand the causal dynamics that relate the school variables to achievement. The models were selected by examining the relationship between achievement and school variables in two situations: each school variable was considered 1) individually and 2) in models with a small number of school variables. School variables that showed negligible or unusual relationships with achievement were not included in the models.
The variables in the two models are listed below. The conceptual model includes 27 school variables classified under 6 broad categories and the predictive model includes 7 school variables, identified with an asterisk (*).
Schools can be expected to have higher average achievement when they have following characteristics:
Good school climateTwo student models, a statistical predictive model and a non-statistical conceptual model, were developed to predict achievement and achievement controlled for ability for students in grades 3-5 using student variables from the CognitiveGenesis student survey. The predictive model includes a limited number of student variables to use in predicting a student’s specific achievement score using a statistical formula. The conceptual model, which includes all student variables that have a meaningful relationship with achievement, can be used to help understand the causal dynamics that relate the student variables to achievement. The models were selected by examining the relationship between achievement and student variables in three situations: each student variable was considered 1) individually, 2) in a model containing all other student variables, and 3) in models with a small number of student variables. Student variables that showed negligible or unusual relationships with achievement or achievement controlled for ability were not included in the models. Models were tested for applicability for students in different gender, ethnic, and ability groups.
The variables in the two models are listed below. The conceptual model includes 18 student variables classified under 7 broad categories and the predictive model includes 11 student variables, identified with an asterisk (*).
Students can be expected to have higher achievement when they exhibit the following traits:
Spend appropriate time after school in “positive” activitiesTwo student models, a statistical predictive model and a non-statistical conceptual model, were developed to predict achievement and achievement controlled for ability for students in grades 6-8 using student variables from the CognitiveGenesis student survey. The predictive model includes a limited number of student variables to use in predicting a student’s specific achievement score using a statistical formula. The conceptual model, which includes all student variables that have a meaningful relationship with achievement, can be used to help understand the causal dynamics that relate the student variables to achievement. The models were selected by examining the relationship between achievement and student variables in three situations: each student variable was considered 1) individually, 2) in a model containing all other student variables, and 3) in models with a small number of student variables. Student variables that showed negligible or unusual relationships with achievement or achievement controlled for ability were not included in the models. Models were tested for applicability for students in different gender, ethnic, and ability groups.
The variables in the two models are listed below. The conceptual model includes 24 student variables classified under 7 broad categories and the predictive model includes 10 student variables, identified with an asterisk (*).
Students can be expected to have higher achievement when they exhibit the following traits:
Spend appropriate time after school in “positive” activitiesTwo student models, a statistical predictive model and a non-statistical conceptual model, were developed to predict achievement and achievement controlled for ability for dormitory students in grades 9 and 11 using student variables from the CognitiveGenesis student survey. The predictive model includes a limited number of student variables to use in predicting a student’s specific achievement score using a statistical formula. The conceptual model, which includes all student variables that have a meaningful relationship with achievement, can be used to help understand the causal dynamics that relate the student variables to achievement. The models were selected by examining the relationship between achievement and student variables in three situations: each student variable was considered 1) individually, 2) in a model containing all other student variables, and 3) in models with a small number of student variables. Student variables that showed negligible or unusual relationships with achievement or achievement controlled for ability were not included in the models. Models were tested for applicability for students in different gender, ethnic, and ability groups.
The variables in the two models are listed below. The conceptual model includes 22 student variables classified under 6 broad categories and the predictive model includes 10 student variables, identified with an asterisk (*).
Students can be expected to have higher achievement when they exhibit the following traits:
Spend appropriate time after school in “positive” activitiesTwo student models, a statistical predictive model and a non-statistical conceptual model, were developed to predict achievement and achievement controlled for ability for non-dormitory students in grades 9 and 11 using student variables from the CognitiveGenesis student survey. The predictive model includes a limited number of student variables to use in predicting a student’s specific achievement score using a statistical formula. The conceptual model, which includes all student variables that have a meaningful relationship with achievement, can be used to help understand the causal dynamics that relate the student variables to achievement. The models were selected by examining the relationship between achievement and student variables in three situations: each student variable was considered 1) individually, 2) in a model containing all other student variables, and 3) in models with a small number of student variables. Student variables that showed negligible or unusual relationships with achievement or achievement controlled for ability were not included in the models. Models were tested for applicability for students in different gender, ethnic, and ability groups.
The variables in the two models are listed below. The conceptual model includes 28 student variables classified under 7 broad categories and the predictive model includes 11 student variables, identified with an asterisk (*).
Students can be expected to have higher achievement when they exhibit the following traits:
Spend appropriate time after school in “positive” activitiesTwo teacher-general models, a statistical predictive model and a non-statistical conceptual model, were developed to predict achievement growth for students in grades 6-8 using teacher variables from the CognitiveGenesis student survey. The predictive model includes a limited number of teacher variables to use in predicting a student’s achievement growth score (one-year change) using a statistical formula. The conceptual model, which includes all teacher variables that have a meaningful relationship with achievement growth, can be used to help understand the causal dynamics that relate the teacher variables to achievement growth. The models were selected by examining the relationship between achievement growth and teacher variables in three situations: each teacher variable was considered 1) individually, 2) in a model containing all other teacher variables, and 3) in models with a small number of teacher variables. Teacher variables that showed negligible or unusual relationships with achievement growth were not included in the models. The models were tested for applicability for students in schools of different sizes.
The variables in the two models are listed below. The conceptual model includes 9 teacher variables classified under 5 broad categories and the predictive model includes 4 teacher variables, identified with an asterisk (*).
Students can be expected to have higher growth in achievement when their teachers exhibit the following traits:
Use progressive teaching methodsCenter for Research on Adventist Education (CRAE). (2011, December 27). CognitiveGenesis [Model Name Here]. Retrieved from [link to page].