首页/数据集/Agreement between AT-MCQ categorizations and AT-verbal grouped intentionality scores.

Agreement between AT-MCQ categorizations and AT-verbal grouped intentionality scores.

NIAID Data Ecosystem2026-03-13 收录

数据链接：

https://figshare.com/articles/dataset/Agreement_between_AT-MCQ_categorizations_and_AT-verbal_grouped_intentionality_scores_/19340047 数据链接链接失效反馈

官方服务：

资源简介：

Agreement between AT-MCQ categorizations and AT-verbal grouped intentionality scores.

应用场景：

创建时间：

2022-03-10

肥胖态度研究

心理测量方法比较

Note: Negative = demonstrates negative attitude towards adiposity; Positive = positive or neutral attitude towards adiposity; Neutral = ambivalent attitude or ambiguous findings; N = sample size; FPS

NIAID Data Ecosystem50

Comparing self-report and performance measurement of wisdom in Turkish sample: Relations with self-transcendence and cognitive flexibility

心理学研究

心理测量方法比较

Data set of research named: Comparing self-report and performance measurement of wisdom in Turkish sample: Relations with self-transcendence and cognitive flexibility

Zenodo2023-01-13 更新00

Data_Sheet_1_Comparison of false positive and false negative rates of two indices of individual reliable change: Jacobson-Truax and Hageman-Arrindell methods.zip

个体可靠变化评估

心理测量方法比较

BackgroundQuantification of change is crucial for correctly estimating the effect of a treatment and for distinguishing random or non-systematic changes from substantive changes. The objective of the

NIAID Data Ecosystem00

A Comparative Study of Bayesian Structural Equation Modeling, Aligned Exploratory Structural Equation Modeling, and Penalized Alignment Method

心理测量不变性检验

心理测量方法比较

In 2023, the aligned exploratory structural equation modeling and penalized alignment method were proposed as new methods in the important field of measurement invariance testing in psychometrics and

科学数据银行2025-09-15 更新10

Table 1_Latent trait or sum score: addressing measurement challenges in the prediction of self-rated symptom outcomes in psychological treatment.docx

治疗效果预测

心理测量方法比较

ObjectiveReliable and accurate measurement is fundamental to scientific progress; however, the dominant measurement practices in psychology, clinical psychology, and prediction research often lack rig

NIAID Data Ecosystem00

Agreement between AT-MCQ categorizations and AT-verbal grouped intentionality scores.

资源简介：

相关数据集