Introduction to the Rasch Poisson Counts Model: An R Tutorial

被引:12
作者
Baghaei, Purya [1 ]
Doebler, Philipp [2 ]
机构
[1] Islamic Azad Univ, English Dept, Mashhad Branch, Ostad Yusofi St, Mashhad 91871, Razavi Khorasan, Iran
[2] TU Dortmund Univ, Dept Stat, Dortmund, Germany
关键词
Rasch Poisson Counts Model; psychomotor testing; attention; lme4" package; PARAMETERS; SPEED;
D O I
10.1177/0033294118797577
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
The Rasch Poisson Counts Model is the oldest Rasch model developed by the Danish mathematician Georg Rasch in 1952. Nevertheless, the model has had limited applications in psychoeducational assessment. With the rise of neurocognitive and psychomotor testing, there is more room for new applications of the model where other item response theory models cannot be applied. In this paper, we give a general introduction to the Rasch Poisson Counts Model and then using data of an attention test walk the reader through how to use the "lme4" package in R to estimate the model and interpret the outputs.
引用
收藏
页码:1967 / 1994
页数:28
相关论文
共 32 条
[1]   Analyzing count variables in individuals and groups: Single level and multilevel models [J].
Aiken, Leona S. ;
Mistler, Stephen A. ;
Coxe, Stefany ;
West, Stephen G. .
GROUP PROCESSES & INTERGROUP RELATIONS, 2015, 18 (03) :290-314
[2]   NEW LOOK AT STATISTICAL-MODEL IDENTIFICATION [J].
AKAIKE, H .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1974, AC19 (06) :716-723
[3]  
[Anonymous], 2004, Explanatory item response models: A generalized linear and nonlinear approach
[4]  
[Anonymous], 2016, R LANGUAGE ENV STAT
[5]  
[Anonymous], STAT APPROACHES MEAS
[6]   Is the d2 Test of Attention Rasch Scalable? Analysis With the Rasch Poisson Counts Model [J].
Baghaei, Purya ;
Ravand, Hamdollah ;
Nadri, Mahsa .
PERCEPTUAL AND MOTOR SKILLS, 2019, 126 (01) :70-86
[7]  
Bates D., 2017, LME4 LINEAR MIXED EF
[8]  
Beyzaee S. Z., 2017, THESIS
[9]   A model of the joint distribution of purchase quantity and timing [J].
Boatwright, P ;
Borle, S ;
Kadane, JB .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2003, 98 (463) :564-572
[10]  
Braun H., 1988, TEST VALIDITY, P129, DOI DOI 10.4324/9780203056905