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Related Concept Videos

Multiple Comparison Tests01:13

Multiple Comparison Tests

Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
Surveys02:16

Surveys

Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
Complementation Tests00:49

Complementation Tests

A complementation test is a simple cross to identify whether the two mutations are located on the same gene or different genes. It was first performed by Edward Lewis in the 1940s while working on fruit flies. He developed the test to identify the location and arrangement of different mutations on chromosomes.
Organisms heterozygous for different mutations are crossed pairwise in all combinations. If present on different genes, the mutations can complement each other by providing the missing...
Group Design02:01

Group Design

The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between the two are due to...
Cochran's Q Test01:17

Cochran's Q Test

Cochran's Q Test is a nonparametric statistical test used to determine if there are potential differences in the outcomes of three or more related groups on a binary (yes/no) or dichotomous outcome. It is essentially an extension of the McNemar Test, which is limited to two related samples - Cochran's Q test can handle three or more related samples, making it more versatile in scenarios where subjects are measured under multiple conditions. The test statistic follows a Chi-Square distribution,...
Review and Preview01:10

Review and Preview

In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
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Related Experiment Video

Updated: May 7, 2026

Decomposing the Variance in Reading Comprehension to Reveal the Unique and Common Effects of Language and Decoding
06:33

Decomposing the Variance in Reading Comprehension to Reveal the Unique and Common Effects of Language and Decoding

Published on: October 11, 2018

Comparing comprehension measured by multiple-choice and open-ended questions.

Yasuhiro Ozuru1, Stephen Briner, Christopher A Kurby

  • 1Department of Psychology.

Canadian Journal of Experimental Psychology = Revue Canadienne De Psychologie Experimentale
|September 18, 2013
PubMed
Summary
This summary is machine-generated.

Open-ended questions assess text comprehension through self-explanations, while multiple-choice questions rely on prior knowledge. These distinct methods reveal different facets of reading comprehension.

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Related Experiment Videos

Last Updated: May 7, 2026

Decomposing the Variance in Reading Comprehension to Reveal the Unique and Common Effects of Language and Decoding
06:33

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Published on: October 11, 2018

Using Eye Movements to Evaluate the Cognitive Processes Involved in Text Comprehension
06:49

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Published on: January 10, 2014

A Two-interval Forced-choice Task for Multisensory Comparisons
07:13

A Two-interval Forced-choice Task for Multisensory Comparisons

Published on: November 9, 2018

Area of Science:

  • Cognitive Psychology
  • Educational Psychology
  • Psycholinguistics

Background:

  • Text comprehension is crucial for learning and knowledge acquisition.
  • Assessing comprehension effectively requires understanding the underlying cognitive processes.
  • Different question formats may tap into distinct cognitive mechanisms.

Purpose of the Study:

  • To compare how open-ended and multiple-choice questions measure text comprehension.
  • To investigate the relationship between self-explanations, prior knowledge, and question formats.
  • To explore the implications for dual process theories of text comprehension.

Main Methods:

  • Participants read a text and explained preselected sentences.
  • Participants answered both open-ended and multiple-choice questions based on the text.
  • Performance was analyzed in relation to self-explanation quality and prior knowledge.

Main Results:

  • Performance on open-ended questions correlated with self-explanation quality.
  • Performance on multiple-choice questions correlated with prior knowledge.
  • The two question formats appear to measure different aspects of comprehension.

Conclusions:

  • Open-ended questions may better reflect deeper processing and understanding.
  • Multiple-choice questions might be more influenced by existing knowledge than by text processing.
  • Findings support dual process theories in explaining comprehension differences.