RB31-258 The Contribution fo Nebraska Farm Women to Family Income Through Poultry and Dairy Products

This investigation was made in 1929-1930 for the purpose of studying the activities of Nebraska farm women in the raising of poultry and in the care of dairy products, to discover whether or not such activities resulted in a contribution to the family income. With this in view, a group of women were asked to keep records for one year (from April 1, 1929 to March 31, 1930) of the value and amount of dairy and poultry products sold or used, of all expense incurred in production, and of the time spent both by the homemaker herself and by all other members of the household, in the production and sale of dairy and poultry products. When this study was outlined it was intended to cover only actual cash addition to the family income. This, however, did not prove to be feasible, as a considerable portion of the contribution to the family income was in the form of dairy and poultry products used at home.

Improving IRT parameter estimates with small sample sizes: Evaluating the efficacy of a new data augmentation technique

The 3PL model is a flexible and widely used tool in assessment. However, it suffers from limitations due to its need for large sample sizes. This study introduces and evaluates the efficacy of a new sample size augmentation technique called Duplicate, Erase, and Replace (DupER) Augmentation through a simulation study. Data are augmented using several variations of DupER Augmentation (based on different imputation methodologies, deletion rates, and duplication rates), analyzed in BILOG-MG 3, and results are compared to those obtained from analyzing the raw data. Additional manipulated variables include test length and sample size. Estimates are compared using seven different evaluative criteria. Results are mixed and inconclusive. DupER augmented data tend to result in larger root mean squared errors (RMSEs) and lower correlations between estimates and parameters for both item and ability parameters. However, some DupER variations produce estimates that are much less biased than those obtained from the raw data alone. For one DupER variation, it was found that DupER produced better results for low-ability simulees and worse results for those with high abilities. Findings, limitations, and recommendations for future studies are discussed. Specific recommendations for future studies include the application of Duper Augmentation (1) to empirical data, (2) with additional IRT models, and (3) the analysis of the efficacy of the procedure for different item and ability parameter distributions.