Ordinal regression: A review and a taxonomy of models

G Tutz - Wiley Interdisciplinary Reviews: Computational …, 2022 - Wiley Online Library
Ordinal models can be seen as being composed from simpler, in particular binary models.
This view on ordinal models allows to derive a taxonomy of models that includes basic …

The big five inventory–2 in China: A comprehensive psychometric evaluation in four diverse samples

B Zhang, YM Li, J Li, J Luo, Y Ye, L Yin, Z Chen… - …, 2022 - journals.sagepub.com
The Big Five Inventory-2 (BFI-2) has received wide recognition since its publication because
it strikes a good balance between content coverage and brevity. The current study translated …

Mastery-approach goals: A large-scale cross-cultural analysis of antecedents and consequences.

J Guo, X Hu, AJ Elliot, HW Marsh… - Journal of Personality …, 2023 - psycnet.apa.org
Abstract Mastery-approach (MAP) goals, focusing on develo** competence and acquiring
task mastery, are posited to be the most optimal, beneficial type of achievement goal for …

Hierarchical models for the analysis of Likert scales in regression and item response analysis

G Tutz - International Statistical Review, 2021 - Wiley Online Library
Appropriate modelling of Likert‐type items should account for the scale level and the specific
role of the neutral middle category, which is present in most Likert‐type items that are in …

IRT ree models with ordinal and multidimensional decision nodes for response styles and trait‐based rating responses

T Meiser, H Plieninger… - British Journal of …, 2019 - Wiley Online Library
IRT ree models decompose observed rating responses into sequences of theory‐based
decision nodes, and they provide a flexible framework for analysing trait‐related judgements …

A new model for acquiescence at the interface of psychometrics and cognitive psychology

H Plieninger, DW Heck - Multivariate behavioral research, 2018 - Taylor & Francis
When measuring psychological traits, one has to consider that respondents often show
content-unrelated response behavior in answering questionnaires. To disentangle the target …

Faking detection improved: Adopting a Likert item response process tree model

T Sun, B Zhang, M Cao… - Organizational Research …, 2022 - journals.sagepub.com
With the increasing popularity of noncognitive inventories in personnel selection,
organizations typically wish to be able to tell when a job applicant purposefully …

Item response tree models to investigate acquiescence and extreme response styles in Likert-type rating scales

M Park, AD Wu - Educational and Psychological …, 2019 - journals.sagepub.com
Item response tree (IRTree) models are recently introduced as an approach to modeling
response data from Likert-type rating scales. IRTree models are particularly useful to capture …

Dynamic response strategies: Accounting for response process heterogeneity in IRTree decision nodes

V Merhof, T Meiser - psychometrika, 2023 - cambridge.org
It is essential to control self-reported trait measurements for response style effects to ensure
a valid interpretation of estimates. Traditional psychometric models facilitating such control …

Crafting survey research: A systematic process for conducting survey research

A Vomberg, M Klarmann - Handbook of market research, 2021 - Springer
Surveys represent flexible and powerful ways for practitioners to gain insights into customers
and markets and for researchers to develop, test, and generalize theories. However …