Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Estimation Methods for Item Factor Analysis: An Overview   Item factor analysis (IFA) refers to the factor models and statistical
inference procedures for analyzing multivariate categorical data. IFA
techniques are commonly used in social and behavioral sciences for analyzing
item-level response data. Such models summarize and interpret the dependence
structure among a set of categorical variables by a small number of latent
factors. In this chapter, we review the IFA modeling technique and commonly
used IFA models. Then we discuss estimation methods for IFA models and their
computation, with a focus on the situation where the sample size, the number of
items, and the number of factors are all large. Existing statistical softwares
for IFA are surveyed. This chapter is concluded with suggestions for practical
applications of IFA methods and discussions of future directions.

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The categories of this paper are: cmp-lg
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The categories of this paper are: ao-sci
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The categories of this paper are: chem-ph
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The categories of this paper are: cs
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The categories of this paper are: eess
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The categories of this paper are: plasm-ph
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The categories of this paper are: mtrl-th
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The categories of this paper are: cond-mat
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The categories of this paper are: nlin
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The categories of this paper are: math
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The categories of this paper are: supr-con
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The categories of this paper are: comp-gas
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The categories of this paper are: nucl-ex
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The categories of this paper are: econ
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The categories of this paper are: math-ph
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The categories of this paper are: q-bio