Ki Lynn Matlock
Dados Biográficos
| ID | 9252276 |
|---|---|
| NOME | Ki Lynn Matlock |
| PRENOMES | Ki Lynn |
| SOBRENOME | Matlock |
| ASSINATURA | MATLOCK K L |
| AFILIAÇÕES | Oklahoma State University, Stillwater, OK, USA |
| VERIFICADO | Não |
| TOTAL DE OBRAS | 2 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 2 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2016 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2018 |
| ÍNDICE H | 0 |
A Study of Reverse-Worded Matched Item Pairs Using the Generalized Partial Credit and Nominal Response Models
The generalized partial credit model (GPCM) is often used for polytomous data; however, the nominal response model (NRM) allows for the investigation of how adjacent categories may discriminate differently when items are positively or negatively worded. Ten items from three different self-reported scales were used (anxiety, depression, and perceived stress), and authors wrote an additional item worded in the opposite direction to pair with each o…
Unidimensional IRT Item Parameter Estimates Across Equivalent Test Forms With Confounding Specifications Within Dimensions
When constructing multiple test forms, the number of items and the total test difficulty are often equivalent. Not all test developers match the number of items and/or average item difficulty within subcontent areas. In this simulation study, six test forms were constructed having an equal number of items and average item difficulty overall. Manipulated variables were the number of items and average item difficulty within subsets of items primari…
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Unidimensional IRT Item Parameter Estimates Across Equivalent Test Forms With Confounding Specifications Within Dimensions
When constructing multiple test forms, the number of items and the total test difficulty are often equivalent. Not all test developers match the number of items and/or average item difficulty within subcontent areas. In this simulation study, six test forms were constructed having an equal number of items and average item difficulty overall. Manipulated variables were the number of items and average item difficulty within subsets of items primari…
A Study of Reverse-Worded Matched Item Pairs Using the Generalized Partial Credit and Nominal Response Models
The generalized partial credit model (GPCM) is often used for polytomous data; however, the nominal response model (NRM) allows for the investigation of how adjacent categories may discriminate differently when items are positively or negatively worded. Ten items from three different self-reported scales were used (anxiety, depression, and perceived stress), and authors wrote an additional item worded in the opposite direction to pair with each o…
Advanced Statistical Modeling Techniques (2 obras) · Item response theory (2 obras) · Psychology (2 obras) · Psychometric Methodologies and Testing (2 obras) · Psychometrics (2 obras) · Anxiety (1 obras) · Computer Science (1 obras) · Correlation (1 obras) · Developmental psychology (1 obras) · Differential item functioning (1 obras)