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1 to 10 of 24 Results

AIM_Child_Analysis-1.tab Feb 27, 2026 - Assessment and Instruction in Kindergarten Mathematics Tabular Data - 6.0 MB - 517 Variables, 2252 Observations - UNF:6:Y7NM6hPfn3wwyqbtel2+Kg== Child-level analysis dataset in CSV format; variable labels not retained — refer to codebook for full documentation.
AIM_Child_Analysis.tab Feb 27, 2026 - Assessment and Instruction in Kindergarten Mathematics Tabular Data - 3.6 MB - 517 Variables, 2252 Observations - UNF:6:Z41oi31jFmhjGWUg22Cvlw== Child-level analysis dataset in SPSS format; one row per child, 517 variables spanning two study years (2022–2024).
AIM_Child_Analysis_Codebook.tab Feb 27, 2026 - Assessment and Instruction in Kindergarten Mathematics Tabular Data - 102.9 KB - 5 Variables, 517 Observations - UNF:6:XGv+iMWHGk42+cLIuC+jog== Variable-level codebook documenting all 517 variables: name, type, label, value labels, and source dataset.
README_AIM_Dataset.docx Feb 27, 2026 - Assessment and Instruction in Kindergarten Mathematics MS Word - 22.9 KB - MD5: 0b8e2b676e03b4513d52a758d9c6b357 Full dataset documentation including study overview, sample description, measures, missing data conventions, and citation information.
README_AIM_Dataset.txt Feb 27, 2026 - Assessment and Instruction in Kindergarten Mathematics Plain Text - 13.0 KB - MD5: 895cfa6dd8066363b39a458b63a02275 Full dataset documentation including study overview, sample description, measures, missing data conventions, and citation information.
MWDiss_man1_filter_FINAL.R Feb 7, 2025 - Walaszek Dissertation R Scripts R Syntax - 41.9 KB - MD5: d94cc130c8b5c4f838b50a894bd047c3 Data organization, management, and filtering to create sub-datasets for manuscript 1 for each ACLR return to sport outcome variable of interest.
MWDiss_man1_lmer_FINAL.R Feb 7, 2025 - Walaszek Dissertation R Scripts R Syntax - 79.0 KB - MD5: 288fc17717c90a0aa885c0ea4dfc4de6 Analysis of each sub-dataset from MWDiss_man1_filter_FINAL.R using latent growth model with the lmer() function.
MWDiss_man2_BLR_FINAL.R Feb 7, 2025 - Walaszek Dissertation R Scripts R Syntax - 22.7 KB - MD5: a61709a63bb8170264a4d232be6e3fc2 Analysis of each sub-dataset from MWDiss_man2_filter_FINAL.R using binomial logistic regression using glm() function.
MWDiss_man2_filter_FINAL.R Feb 7, 2025 - Walaszek Dissertation R Scripts R Syntax - 12.0 KB - MD5: 30f3aeae13f5148a0f4e5a2636353d7c Data organization, management, and filtering to create sub-datasets for manuscript 2 for each ACLR long-term outcome variable of interest.
MWDiss_man3_LGM_Climate_FINAL.R Feb 7, 2025 - Walaszek Dissertation R Scripts R Syntax - 40.9 KB - MD5: 9f514c0705226294824eac41f69ed975 Analysis of each sub-dataset from MWDiss_man3_part 2_climate_FINAL.R using latent growth model with the lmer() function.

AIM_Child_Analysis-1.tab

Feb 27, 2026 - Assessment and Instruction in Kindergarten Mathematics

Tabular Data - 6.0 MB - 517 Variables, 2252 Observations -

Child-level analysis dataset in CSV format; variable labels not retained — refer to codebook for full documentation.

AIM_Child_Analysis.tab

Feb 27, 2026 - Assessment and Instruction in Kindergarten Mathematics

Tabular Data - 3.6 MB - 517 Variables, 2252 Observations -

Child-level analysis dataset in SPSS format; one row per child, 517 variables spanning two study years (2022–2024).

AIM_Child_Analysis_Codebook.tab

Feb 27, 2026 - Assessment and Instruction in Kindergarten Mathematics

Tabular Data - 102.9 KB - 5 Variables, 517 Observations -

Variable-level codebook documenting all 517 variables: name, type, label, value labels, and source dataset.

README_AIM_Dataset.docx

Feb 27, 2026 - Assessment and Instruction in Kindergarten Mathematics

MS Word - 22.9 KB -

Full dataset documentation including study overview, sample description, measures, missing data conventions, and citation information.

README_AIM_Dataset.txt

Feb 27, 2026 - Assessment and Instruction in Kindergarten Mathematics

Plain Text - 13.0 KB -

Full dataset documentation including study overview, sample description, measures, missing data conventions, and citation information.

MWDiss_man1_filter_FINAL.R

Feb 7, 2025 - Walaszek Dissertation R Scripts

R Syntax - 41.9 KB -

Data organization, management, and filtering to create sub-datasets for manuscript 1 for each ACLR return to sport outcome variable of interest.

MWDiss_man1_lmer_FINAL.R

Feb 7, 2025 - Walaszek Dissertation R Scripts

R Syntax - 79.0 KB -

Analysis of each sub-dataset from MWDiss_man1_filter_FINAL.R using latent growth model with the lmer() function.

MWDiss_man2_BLR_FINAL.R

Feb 7, 2025 - Walaszek Dissertation R Scripts

R Syntax - 22.7 KB -

Analysis of each sub-dataset from MWDiss_man2_filter_FINAL.R using binomial logistic regression using glm() function.

MWDiss_man2_filter_FINAL.R

Feb 7, 2025 - Walaszek Dissertation R Scripts

R Syntax - 12.0 KB -

Data organization, management, and filtering to create sub-datasets for manuscript 2 for each ACLR long-term outcome variable of interest.

MWDiss_man3_LGM_Climate_FINAL.R

Feb 7, 2025 - Walaszek Dissertation R Scripts

R Syntax - 40.9 KB -

Analysis of each sub-dataset from MWDiss_man3_part 2_climate_FINAL.R using latent growth model with the lmer() function.

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