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Related Concept Videos

Causes of Similarity-Dissimilarity Effect01:26

Causes of Similarity-Dissimilarity Effect

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The similarity-dissimilarity effect, a fundamental concept in social psychology, explains how interpersonal similarities and differences influence attraction and social interactions. This effect is supported by three key psychological perspectives: balance theory, social comparison theory, and consensual validation.Balance Theory and Cognitive ConsistencyBalance theory, developed by Fritz Heider, posits that individuals seek cognitive consistency in their relationships. When two people share...
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The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
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According to Albert Einstein (1897-1955), free-falling and feeling weightless are intrinsically linked. If a person were in free-fall under gravity, for example, diving towards the Earth from an airplane, they would feel completely weightless. Similarly, a person descending in a lift may feel partially weightless. Broadly speaking, it is assumed that an object in a uniform gravitational field and an object undergoing constant acceleration in the absence of gravity are under the same...
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The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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Ratio Level of Measurement00:54

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The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
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For effective statistical analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
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Related Experiment Video

Updated: Mar 26, 2026

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
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Are Semantic Response Scales Equivalent?

C Ofir, S K Reddy, G G Bechtel

    Multivariate Behavioral Research
    |January 27, 2016
    PubMed
    Summary

    Response formats like Likert, semantic-differential, and Stapel scales were compared. The semantic-differential format was most preferred, while the Stapel format was least preferred, challenging previous assumptions of interchangeability.

    Area of Science:

    • Psychometrics
    • Survey methodology
    • Quantitative psychology

    Background:

    • Three common survey response formats exist: Likert, semantic-differential, and single-anchor (Stapel).
    • Previous research suggested these formats are interchangeable in data collection.
    • Understanding response format impact is crucial for survey validity.

    Purpose of the Study:

    • To compare the psychometric properties of Likert, semantic-differential, and Stapel response formats.
    • To investigate whether these formats are truly interchangeable.
    • To identify the most and least preferred response formats based on empirical data.

    Main Methods:

    • Analysis of covariance structures was employed.
    • Four distinct datasets were utilized for robust analysis.

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  • Statistical comparisons were made across the three response formats.

    • Main Results:

    • Evidence consistently contradicted the interchangeability of the response formats.
    • The semantic-differential format emerged as the most preferred format across studies.
    • The Stapel format was consistently the least preferred format in most analyses.

    Conclusions:

    • Survey response formats are not interchangeable and have differential preference.
    • The semantic-differential format offers superior user preference and potentially better data quality.
    • Researchers should carefully consider response format selection in survey design to optimize results.