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5 course outlines found
1
EDUC 706
: Measurement and Advanced Statistics2024 Semester One (1243)
Instruction in measurement will cover theories, principles, uses, and techniques for estimating statistical and practical significance, causation, instrument validity, reliability, and error. Principles and methods of factor analysis, structural equation modelling, hierarchical level modelling, missing value analysis, and propensity score analysis will be covered to statistically analyse educational data that are latent, nested, repeated, longitudinal, incomplete, and highly interconnected.
To complete this course students must enrol in EDUC 706 A and B, or EDUC 706
2
EDUC 706
: Measurement and Advanced Statistics2023 Semester One (1233)
Instruction in measurement will cover theories, principles, uses, and techniques for estimating statistical and practical significance, causation, instrument validity, reliability, and error. Principles and methods of factor analysis, structural equation modelling, hierarchical level modelling, missing value analysis, and propensity score analysis will be covered to statistically analyse educational data that are latent, nested, repeated, longitudinal, incomplete, and highly interconnected.
To complete this course students must enrol in EDUC 706 A and B, or EDUC 706
3
EDUC 706
: Measurement and Advanced Statistics2021 Semester One (1213)
Instruction in measurement will cover theories, principles, uses, and techniques for estimating statistical and practical significance, causation, instrument validity, reliability, and error. Principles and methods of factor analysis, structural equation modelling, hierarchical level modelling, missing value analysis, and propensity score analysis will be covered to statistically analyse educational data that are latent, nested, repeated, longitudinal, incomplete, and highly interconnected.
To complete this course students must enrol in EDUC 706 A and B, or EDUC 706
4
EDUC 706
: Measurement and Advanced Statistics2020 Semester One (1203)
Instruction in measurement will cover theories, principles, uses, and techniques for estimating statistical and practical significance, causation, instrument validity, reliability, and error. Principles and methods of factor analysis, structural equation modelling, hierarchical level modelling, missing value analysis, and propensity score analysis will be covered to statistically analyse educational data that are latent, nested, repeated, longitudinal, incomplete, and highly interconnected.
To complete this course students must enrol in EDUC 706 A and B, or EDUC 706
5
EDUC 706
: Measurement and Advanced Statistics2025 Semester One (1253)
Instruction in measurement will cover theories, principles, uses, and techniques for estimating statistical and practical significance, causation, instrument validity, reliability, and error. Principles and methods of factor analysis, structural equation modelling, hierarchical level modelling, missing value analysis, and propensity score analysis will be covered to statistically analyse educational data that are latent, nested, repeated, longitudinal, incomplete, and highly interconnected.
To complete this course students must enrol in EDUC 706 A and B, or EDUC 706
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