Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

Confounding in Epidemiological Studies01:27

Confounding in Epidemiological Studies

552
Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This...
552
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

1.2K
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
1.2K
Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

8.4K
In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
8.4K
Null and Alternative Hypotheses01:16

Null and Alternative Hypotheses

11.8K
The actual hypothesis testing begins by considering two hypotheses. They are termed  the null hypothesis and the alternative hypothesis. These hypotheses contain opposing viewpoints.
The null hypothesis, denoted by H0 is a statement of no difference between the variables—they are not related. This can often be considered the status quo. As  a result if you cannot accept the null, it requires some action.
The alternative hypothesis, denoted by H1 or Ha, is a claim about the...
11.8K
Quantifying and Rejecting Outliers: The Grubbs Test01:02

Quantifying and Rejecting Outliers: The Grubbs Test

3.4K
Sometimes, a data set can have a recorded numerical observation that greatly  deviates from the rest of the data. Assuming that the data is normally distributed, a statistical method called the Grubbs test can be used to determine whether the observation is truly an outlier.  To perform a two-tailed Grubbs test, first, calculate the absolute difference between the outlier and the mean. Then, calculate the ratio between this difference and the standard deviation of the sample. This...
3.4K
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

376
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
376

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

Openness to Being Gossiped About: Understanding Gossip from the Target's Perspective.

Self and identity : the journal of the International Society for Self and Identity·2025
Same author

One-tailed tests: Let's do this (responsibly).

Psychological methods·2023
関連記事をすべて見る

関連する実験動画

Updated: Jan 7, 2026

Using Single-Worm Data to Quantify Heterogeneity in Caenorhabditis elegans-Bacterial Interactions
09:54

Using Single-Worm Data to Quantify Heterogeneity in Caenorhabditis elegans-Bacterial Interactions

Published on: July 22, 2022

3.6K

Ostracism threatens certainty: a single-laboratory meta-analysis

Andrew H Hales1

  • 1University of Mississippi.

The Journal of social psychology
|December 28, 2025
PubMed
まとめ

Ostracism, or social exclusion, threatens belonging, self-esteem, and control. New research shows it also significantly undermines the need for certainty, impacting individuals immediately and after a delay.

科学分野:

  • 科学通名
  • Psychology; Social Psychology

背景:

  • 背景
  • Ostracism is recognized to threaten core human needs: belonging, self-esteem, control, and meaning.
  • These fundamental needs are crucial for psychological well-being and social functioning.

研究 の 目的:

  • 研究目的
  • To present theoretical and empirical evidence for a fifth need threatened by ostracism: the need for certainty.
  • To meta-analytically summarize experimental findings on ostracism's impact on certainty.

主な方法:

  • 主な方法
  • Review of theoretical basis for the need for certainty.
  • Meta-analysis of 18 experiments (N=5,241) manipulating ostracism and measuring uncertainty.
  • Assessment of immediate and delayed effects of ostracism on certainty.
キーワード:
基本欲求確実性メタアナリシス追放時間的欲求脅迫モデル不確実性

さらに関連する動画

A Concoction Pipeline for Generating Molecular Operational Taxonomic Units (MOTUs) Among Riparian and Aquatic Beetles
10:23

A Concoction Pipeline for Generating Molecular Operational Taxonomic Units (MOTUs) Among Riparian and Aquatic Beetles

Published on: July 11, 2025

517
Iterative Bleaching Extends Multiplicity with Use of Staining Automation for Core Facilities
04:52

Iterative Bleaching Extends Multiplicity with Use of Staining Automation for Core Facilities

Published on: August 6, 2025

459

関連する実験動画

Last Updated: Jan 7, 2026

Using Single-Worm Data to Quantify Heterogeneity in Caenorhabditis elegans-Bacterial Interactions
09:54

Using Single-Worm Data to Quantify Heterogeneity in Caenorhabditis elegans-Bacterial Interactions

Published on: July 22, 2022

3.6K
A Concoction Pipeline for Generating Molecular Operational Taxonomic Units (MOTUs) Among Riparian and Aquatic Beetles
10:23

A Concoction Pipeline for Generating Molecular Operational Taxonomic Units (MOTUs) Among Riparian and Aquatic Beetles

Published on: July 11, 2025

517
Iterative Bleaching Extends Multiplicity with Use of Staining Automation for Core Facilities
04:52

Iterative Bleaching Extends Multiplicity with Use of Staining Automation for Core Facilities

Published on: August 6, 2025

459

主要な成果:

  • 分析の結果
  • Ostracism significantly reduces the sense of certainty immediately after the experience (d = -0.37).
  • A lesser, yet significant, negative effect on certainty persists after a brief delay (d = -0.16).

結論:

  • 結論
  • The need for certainty is a fifth fundamental psychological need threatened by ostracism.
  • Ostracism-induced uncertainty has immediate and lingering effects.
  • Future research should explore behavioral impacts and the role of uncertainty in ostracism dynamics.