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Psychological Methods

Psychological Methods
紙雑誌
American Psychological Association<Z53-W521>
国立国会図書館全国の図書館
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Spatial analysis for psychologists: How to use individual-level data for research at the geographically aggregated level.

Spatial analysis for psychologists: How to use individual-level data for research at the geographically aggregated level.
デジタル記事
2023-10Psychological Methods28 5p.1100-1121
全国の図書館
  • 掲載誌（ISSN）1082989X

Deciding what to replicate: A decision model for replication study selection under resource and knowledge constraints.

Deciding what to replicate: A decision model for replication study selection under resource and knowledge constraints.
デジタル記事
2023-04Psychological Methods28 2p.438-451
全国の図書館
  • 掲載誌（ISSN）1082989X

Distributionally weighted least squares in structural equation modeling.

Distributionally weighted least squares in structural equation modeling.
デジタル記事
2022-08Psychological Methods27 4p.519-540
全国の図書館
  • 掲載誌（ISSN）1082989X

Effect size guidelines for cross-lagged effects.

Effect size guidelines for cross-lagged effects.
デジタル記事
2022-06-23Psychological Methods
全国の図書館
  • 掲載誌（ISSN）1082989X

Conducting a meta-analysis in the age of open science: Tools, tips, and practical recommendations.

Conducting a meta-analysis in the age of open science: Tools, tips, and practical recommendations.
デジタル記事
2022-06Psychological Methods27 3p.426-432
全国の図書館
  • 掲載誌（ISSN）1082989X

Summary-statistics-based power analysis: A new and practical method to determine sample size for mixed-effects modeling.

Summary-statistics-based power analysis: A new and practical method to determine sample size for mixed-effects modeling.
デジタル記事
2022-01-31Psychological Methods
全国の図書館
  • 掲載誌（ISSN）1082989X

A comparison of full information maximum likelihood and multiple imputation in structural equation modeling with missing data.

A comparison of full information maximum likelihood and multiple imputation in structural equation modeling with missing data.
デジタル記事
2021-08Psychological Methods26 4p.466-485
全国の図書館
  • 掲載誌（ISSN）1082989X

Do simple slopes follow-up tests lead us astray? Advancements in the visualization and reporting of interactions.

Do simple slopes follow-up tests lead us astray? Advancements in the visualization and reporting of interactions.
デジタル記事
2021-02Psychological Methods26 1p.38-60
全国の図書館
  • 掲載誌（ISSN）1082989X

Variational Bayesian methods for cognitive science.

Variational Bayesian methods for cognitive science.
デジタル記事
2020-10Psychological Methods25 5p.535-559
全国の図書館
  • 掲載誌（ISSN）1082989X

A primer on two-level dynamic structural equation models for intensive longitudinal data in Mplus.

A primer on two-level dynamic structural equation models for intensive longitudinal data in Mplus.
デジタル記事
2020-10Psychological Methods25 5p.610-635
全国の図書館
  • 掲載誌（ISSN）1082989X

The fixed versus random effects debate and how it relates to centering in multilevel modeling.

The fixed versus random effects debate and how it relates to centering in multilevel modeling.
デジタル記事
2020-06Psychological Methods25 3p.365-379
全国の図書館
  • 掲載誌（ISSN）1082989X

A review of issues about null hypothesis Bayesian testing.

A review of issues about null hypothesis Bayesian testing.
デジタル記事
2019-12Psychological Methods24 6p.774-795
全国の図書館
  • 掲載誌（ISSN）1082989X

On Ising models and algorithms for the construction of symptom networks in psychopathological research.

On Ising models and algorithms for the construction of symptom networks in psychopathological research.
デジタル記事
2019-12Psychological Methods24 6p.735-753
全国の図書館
  • 掲載誌（ISSN）1082989X

A unified framework of longitudinal models to examine reciprocal relations.

A unified framework of longitudinal models to examine reciprocal relations.
デジタル記事
2019-10Psychological Methods24 5p.637-657
インターネットで読める全国の図書館
  • 掲載誌（ISSN）1082989X

How to determine the number of factors to retain in exploratory factor analysis: A comparison of extraction methods under realistic conditions.

How to determine the number of factors to retain in exploratory factor analysis: A comparison of extraction methods under realistic conditions.
デジタル記事
2019-08Psychological Methods24 4p.468-491
全国の図書館
  • 掲載誌（ISSN）1082989X

Determining the number of factors using parallel analysis and its recent variants.

Determining the number of factors using parallel analysis and its recent variants.
デジタル記事
2019-08Psychological Methods24 4p.452-467
全国の図書館
  • 掲載誌（ISSN）1082989X

Corrected goodness-of-fit test in covariance structure analysis.

Corrected goodness-of-fit test in covariance structure analysis.
デジタル記事
2019-06Psychological Methods24 3p.371-389
全国の図書館
  • 掲載誌（ISSN）1082989X

Alternating optimization for G × E modelling with weighted genetic and environmental scores: Examples from the MAVAN study.

Alternating optimization for G × E modelling with weighted genetic and environmental scores: Examples from the MAVAN study.
デジタル記事
2019-04Psychological Methods24 2p.196-216
全国の図書館
  • 掲載誌（ISSN）1082989X

Statistical power in two-level models: A tutorial based on Monte Carlo simulation.

Statistical power in two-level models: A tutorial based on Monte Carlo simulation.
デジタル記事
2019-02Psychological Methods24 1p.1-19
全国の図書館
  • 掲載誌（ISSN）1082989X