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Reliability and Validity01:29

Reliability and Validity

Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
Ordinal Level of Measurement00:55

Ordinal Level of Measurement

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.
Data measured using an ordinal scale are similar to nominal scale data, but there is one major difference. The ordinal scale data can be ordered. An example of ordinal scale data is a list of the top five national parks in the...
Testing a Claim about Standard Deviation01:19

Testing a Claim about Standard Deviation

A complete procedure to test a claim about population standard deviation or population variance is explained here.
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
Sign Test for Nominal Data01:12

Sign Test for Nominal Data

The sign test is a nonparametric method used to evaluate hypotheses about the median of a single sample or to compare the medians of two related samples. The sign test is particularly useful when dealing with nominal data, which includes distinct categories without an inherent order, such as names, labels, and preferences. Nominal data restricts statistical analysis to evaluating population proportions rather than mean or median values that require continuous data.
For example, consider a...
Measures of Intelligence01:29

Measures of Intelligence

Psychologists measure intelligence by using standardized tests that produce a score known as the intelligence quotient or IQ. To understand IQ tests, it's important to recognize the key principles behind their construction: validity, reliability, and standardization.
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Strategies of Self-Presentation III: Self-Monitoring01:24

Strategies of Self-Presentation III: Self-Monitoring

Self-monitoring is a central construct in understanding individual differences in self-presentation strategies across social contexts. It refers to how individuals observe, regulate, and control their expressive behavior and self-presentation following situational cues. Self-monitoring reflects a person's sensitivity to social appropriateness and willingness to adapt behavior to fit varying interpersonal demands.High vs. Low Self-Monitoring IndividualsIndividuals high in self-monitoring are...

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Related Experiment Video

Updated: Jun 22, 2026

The Other End of the Leash: An Experimental Test to Analyze How Owners Interact with Their Pet Dogs
08:59

The Other End of the Leash: An Experimental Test to Analyze How Owners Interact with Their Pet Dogs

Published on: October 13, 2017

Does the DOG scale measure dogmatism? Another look at construct validity.

H Michael Crowson1

  • 1Department of Educational Psychology, The University of Oklahoma, 820 Van Vleet Oval, Norman, OK 73019-2041, USA. mcrowson@ou.edu

The Journal of Social Psychology
|June 23, 2009
PubMed
Summary

The Dogmatism (DOG) scale demonstrates strong construct validity, showing unidimensionality and correlating with certainty beliefs. It is distinct from other cognitive measures and predicts various ideological and belief systems.

Related Experiment Videos

Last Updated: Jun 22, 2026

The Other End of the Leash: An Experimental Test to Analyze How Owners Interact with Their Pet Dogs
08:59

The Other End of the Leash: An Experimental Test to Analyze How Owners Interact with Their Pet Dogs

Published on: October 13, 2017

Area of Science:

  • Psychological Measurement
  • Social Psychology

Background:

  • The Dogmatism (DOG) scale by B. Altemeyer (1996) is a key measure in social psychology.
  • Assessing the construct validity of psychological scales is crucial for reliable research.

Purpose of the Study:

  • To evaluate the construct validity of Altemeyer's Dogmatism (DOG) scale.
  • To provide empirical evidence supporting the DOG scale's psychometric properties.

Main Methods:

  • Confirmatory factor analyses were employed to assess the scale's unidimensionality.
  • Correlational analyses examined relationships between DOG scale scores and other psychological constructs.

Main Results:

  • The DOG scale demonstrated unidimensionality, with some method effects noted.
  • Strong positive correlations were found between DOG scores and certainty of knowledge beliefs.
  • DOG scale scores were empirically distinct from measures of need for cognition, structure, and evaluation.
  • Criterion-related validity was supported by predictable links to religious fundamentalism, ideology, and worldview-incongruent reactions.

Conclusions:

  • The study provides robust evidence for the construct validity of the Dogmatism (DOG) scale.
  • The DOG scale is a reliable measure for assessing dogmatism and its relationship with various social and ideological variables.