Word Frequency
Word Frequency - Related Videos
08:08
Comparing the Frequency Effect Between the Lexical Decision and Naming Tasks in Chinese
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Cited by 8 •
2016
Researchers adopt both the lexical decision task and the naming task to investigate some important topics such as character/word recognition by comparing the frequency effect between these two tasks. This article introduces this approach through two exemplar experiments and elaborates on the underlying logic.
00:51
What is a Frequency Distribution
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2023
A frequency is the number of times a value of the data occurs. The sum of all the frequency values represents the total number of students included in the sample. It is commonly used to group data of quantitative types. Frequency distributions can be displayed in a table, histogram, line graph, dot plot, or pie chart, just to name a few. A histogram is a graphical representation of tabulated frequencies, shown as adjacent rectangles, erected over discrete intervals (bins), with an area equal to...
01:11
Mean From a Frequency Distribution
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2023
Sometimes, data gathered from an experiment on a large sample or population are organized into concise tables. In such cases, the frequency of the quantitative data set is plotted in the form of a table. Or else, the data values are grouped into the quantity’s intervals, which form classes, and their respective frequencies are known. That is, the data values are distributed over different categories or classes. This is known as frequency distribution. When such a data set is encountered, the...
08:27
Visualizing Stromule Frequency with Fluorescence Microscopy
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Cited by 5 •
2016
Protocols to investigate the dynamics of chloroplast stromules, the stroma-filled tubules that extend from the surface of chloroplasts, are described.
05:38
Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology
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Cited by 4 •
2021
We present a protocol to explore the relative activation sequence of phonology and semantics in visual word recognition. The results show that consistent with interactive accounts, semantic and phonological representations may be processed interactively, and higher-level linguistic representations may affect early processing.
FAQs
Normalization adjusts raw counts in relation to document length, preventing a longer transcript from appearing more verbally characterized simply because it contains more words. This makes comparisons across individuals, groups, or conditions more informative. In behavior research, normalized values can help distinguish differences in language use from differences caused by unequal amounts of recorded text.
Repeated words can identify recurring topics or changes in verbal behavior, but frequency alone does not explain why a word appeared or what it meant in context. Researchers therefore pair counts with contextual and qualitative analysis. This combination links measurable language patterns to interactions, cognition, and observable behavior without treating a numerical count as a complete interpretation.
Comparing frequencies across experimental or environmental conditions can show whether language use changes with the situation. Researchers may examine the same word or set of words across individuals, groups, or conditions, then look for differing patterns. Such comparisons support characterization of behavioral responses, especially when the language record comes from transcripts, written responses, or digital records.
A practical workflow begins by selecting a defined body of text, such as a transcript, written response set, or digital record. Researchers identify the words of interest, count their occurrences, and, when texts differ in length, normalize the counts. They then compare patterns across people, groups, or conditions and interpret the results with contextual evidence.
It is useful when a study needs a systematic indicator of communication or verbal behavior rather than relying only on impressionistic reading. Frequency measures can characterize how participants communicate, detect recurring topics, quantify shifts following experimental or environmental changes, and evaluate response patterns across groups or conditions.
It can reveal which language patterns recur, whether verbal expression changes across conditions, and how communication differs among individuals or groups. These outcomes provide a quantitative layer for studying cognition, interaction, and observable behavior. Interpretation remains stronger when the numerical pattern is examined together with the surrounding text and qualitative context.