91Ó°ÊÓ

c u L8r 2day: Textese and spelling ability. Textese is a sound-based form of spelling to reduce the time of text messaging and the number of characters, using textisms such as "2day" for "today." Educators and parents have long been concerned about the effect of textese on spelling ability. A study of Australian children aged 10-12 considered the effect of text entry method on the spelling subtest of the Wide Range Achievement Test (WRAT). Multipress is the original entry method in which three or four letters are assigned a key and the key must be pressed one to four times to produce each letter. Predictive is a single key-press per letter with suggested completion of the word. A total of 86 children took the WRAT and were classified according to text entry method usually used: multipress ( 27 students), predictive ( 45 students), or non-texter \((12\) students). 3 (a) What are the explanatory and response variables? (b) Is this an observational study or an experiment? Explain why. (c) The differences among the three texting methods were not statistically significant. What does no significant difference mean in describing the outcome of this study?

Step by step solution

01

Identify Variables

The explanatory variable is the type of text entry method (multipress, predictive, or non-texter). The response variable is the score on the spelling subtest of the WRAT (Wide Range Achievement Test).

02

Determine Study Type

This is an observational study because the researchers are observing and recording data about the children's usual texting methods and their spelling abilities without manipulating any variables or assigning methods to the participants.

03

Interpret Statistical Significance

"No significant difference" means that there was not enough statistical evidence to conclude that the type of text entry method has an effect on the spelling test scores of the children. In other words, any observed differences in spelling scores among different text entry methods could be due to random chance.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Explanatory and Response Variables

When conducting any study, it is crucial to distinguish between two types of variables: explanatory and response. Let's break these down using the example of text messaging methods and spelling abilities.

The **explanatory variable** is the one that you **change** or that explains any changes seen in another variable. In this study, the explanatory variable is the "text entry method." It consists of three categories: multipress, predictive, and non-texter. These are the different methods of typing on a mobile device that researchers are interested in examining.

• The multipress method requires pressing a button multiple times to get different letters.
• Predictive text lets the user press each letter once, suggesting possible word completions.
• Non-texters do not use text entry methods in the study's context.

The **response variable**, on the other hand, is what the researchers measure in their study to determine the impact of the explanatory variable. Here, it is the "score on the spelling subtest of the WRAT." This test assesses the children's spelling ability, aiming to see if the text entry method affects their spelling performance.

By understanding these variables, researchers can focus on determining if there's a relationship between texting habits and spelling abilities.

Observational Study vs Experiment

Understanding the difference between an observational study and an experiment is essential for interpreting study results correctly.

An **observational study** is when researchers observe outcomes without manipulating any variables. They record data based on what they naturally see. In our study about texting and spelling, the researchers did not assign specific text entry methods to the children. Instead, they simply noted what methods the children already used and recorded their spelling scores. It is purely a matter of observing and reporting without intervention.

In contrast, an **experiment** involves actively manipulating variables to observe the effects. Researchers could, for instance, have assigned children to use a particular text entry method over a specific period to view its impact on spelling scores. This would allow them to identify any causal relationships more directly.

By recognizing this research as an observational study, we understand that while correlations might be found, there is no causal relationship conclusively proved due to the lack of controlled conditions.

Statistical Significance

Statistical significance is a fundamental concept in determining if the results of a study are meaningful. In simpler terms, it helps to understand whether the differences observed are due to the specific variables being studied or just random chance.

In the context of the text messaging study, researchers concluded there was "no significant difference" among the three text entry methods concerning spelling scores. This means that any differences in spelling abilities observed between children using different text entry methods were not strong enough to confidently say that these differences were real or if they just happened by random fluctuation.

When a result is statistically significant, it indicates that the likelihood of the observed result occurring by chance is low, often below a predefined threshold such as 5%. If it's not significant, as in our text messaging study, it suggests we don't have enough evidence to claim a real effect exists.

• "No significant difference" suggests the observed differences could easily arise by chance rather than a direct influence of one variable on another.
• This doesn't deny a possible relationship, but it does stress the need for more research.

Overall, understanding statistical significance helps in correctly interpreting study outcomes and deciding whether the findings are trustworthy and actionable.