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Introduction to Technical Writing, Slides of Technical Writing

The purpose of technical writing is to break down complex ideas and information into easy-to-understand tasks or explanations for the reader. It's straightforward and clearly informs the reader on a topic (no matter their current knowledge level or if they're a non-technical audience). This style of writing covers any text that aims to explain detailed, technical content.

Typology: Slides

2022/2023

Available from 07/06/2024

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TECHNICAL WRITING
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TECHNICAL WRITING

TECHNICAL WRITING TECHNIQUE:

COMPARISON

An extended comparison deals

with one or more paragraphs

whose main purpose and

structure is comparison.

One type of comparison, the

analogy , which is a special type of

extended comparison of an

unfamiliar thing to a familiar

thing.

Extended comparisons can be

informative or evaluative.

An informative comparison seeks

to compare the topic to

something similar or familiar to

help people understand the topic

or, in some cases, to help people

understand both better.

How to Identify Points of Comparison When writing an extended comparison, a writer must start by identifying the specific ways to compare the things being planned to be written. These points of comparison are like categories of comparative detail.

Construct an outline It is important to develop a clear and organized outline for your composition. Divide it into sections for introduction, similarities, differences, and conclusion. Include a thesis statement that states the purpose of your comparison.

How to Organize Comparisons One of the most important concepts to learn in writing comparisons has to do with organizing the contents. There are two basic ways to organize a comparison:  whole-to-whole approach  point-by-point approach

Example

Qualitative versus Quantitative

Qualitative research and quantitative research are two essential approaches in scientific inquiry. Each offers distinct benefits for understanding and explaining complex phenomena in the natural and social sciences. Qualitative research involves collecting and analyzing non-numerical data like interviews and observations to gain deep insights into complex phenomena. It is ideal for exploring human behavior, generating hypotheses, and uncovering rich, context-specific details. On the other hand, quantitative research relies on numerical data and statistical analysis to measure relationships and draw conclusions. It is well-suited for hypothesis testing, establishing causality, and making findings that can be applied to larger populations. One key difference is depth versus breadth: qualitative research provides in- depth insights with a smaller sample, while quantitative research seeks breadth and generalizability with a larger sample. The choice depends on research goals and the nature of the study, with both methods contributing significantly to scientific knowledge.