Units of analysis, then, are those things we examine in arder to create summary descriptions of ali such units and to explain differences among them

Units of Analysis

A given variable can sornetimes be measured at different levels. When in doubt, researchers should use the highest leve! of rneasurement ap-propriate to that variable so they can capture the greatest amount of information.

The Importance of Variable Names

Conceptions, Concepts, and Reality

Checklist: Theoretical Framework

Concepts often have multiple definitions, so the theoretical framework involves clearly defining what you mean by each term

In your thesis or dissertation, the theoretical framework is where you define, discuss and evaluate theories relevant to your research problem.

Sample theoretical framework

Conceptualization is the process of specifying observations and measurements that give concepts definite meaning for the purposes of a research study.

Concepts are constructs; they represent the agreed-on meanings we assign to terms

Concepts are mental irnages we use as sumrnary devices for bringing together observations and experiences that seem to have something in corn-mon. We use terms or labels to reference these concepts

Conceptualization, Operationalization, and Measurement

Research Design

The theoretical framework: what and how?

It is generally agreed that literature surveys and descriptive compilations do not meet the contribution-to-knowledge re-quirement for the dissertation

Positivist versus postpositivist.

Experimental versus descriptive.

Quantitative versus qualitative.

NEW OR IMPROVED ANALYSIS Analysis may be based on existing evidence or include new data.

The evidence may be collected by an experiment, simulation, observations, questionnaire, interviews, or measurements.

The additive contribution of a dissertation may arise from 1. new or improved evidence; 2. new or improved methodology; 3. new or improved analysis; 4. new or improved concepts or theories.

The dissertation should be based on a significant question, problem, or hypothesis.

Different approaches to testing of important results. If a researcher has reported interesting results with one research technique and a given research population, a doctoral student may consider replicating the experiment, altering either the research technique or the research population.

Writers of disserta-tions commonly describe further research that needs to be done.

If there is likely to be a continuing interest, either academically or otherwise on the topic, then a student can continué to maintin scholarly capability in the área and continué to be a significant authority on the subject.

A research project will typicaliy have more than one potential outcome. For example, a research experiment may fail to dis-prove the nuil hypothesis, it may disprove it, or it may be incon-clusive.

The exploratory investigation, definition of problem, and writing normally take about half of the total time.

If no theory base can be identified, the topic should be rejected

Observations lead to theory to classify, explain, and predict the observations.

Research needed and interesting

In reading dissertations, the student should begin to formúlate a general understanding of the structure and scope of a disserta-tion, and the meaning of contribution to knowledge as applied to doctoral dissertations.

The Selection of a Dissertation Topic

. To summarize: Your aim is to explain 1. what you are writing about —I am working on the topic of... 2. what you don't know about it—because / want tofind out... 3. why you want your reader to know and care about it—m order to help my reader understand better...

add a second indirect question that explains why you asked your first question.

When you add that because I want tofind out how/why/whether clause, you state why you are pursuing your topic: to answer a question important to you.

because I want to find out who/what/when/where/whether/ why/how .

start by naming your project:

SO WHAT?

If you are an experienced researcher, look for questions that other researchers ask but don't answer.

How does your topic fit into the context of a larger structure or function as part of a larger system?

Ask about the History of Your Topic

So the best way to begin working on your focused topic is not to find all the information you can on it, but to formúlate questions that direct you to just that information you need to answer them

If a writer asks no specific question worth asking, he can offer no specific answer worth supporting.

Caution: Don't narrow your topic so much that you can't find information on it

We narrowed those topics by adding words and phrases, but of a special kind: conflict, description, contribution, and developing. Those nouns are derived from verbs expressing actions or relation-ships: to conflict, to describe, to contribute, and to develop. Lacking such "action" words, your topic is a .static thing.

A topic is probably too broad if you can state it in four or five words

Few experi-enced researchers trust Wikipedia, so under no circumstances cite it as a source of evidence (unless your topic is Wikipedia itself).

Google your topic,

Once you have a list of topics, choose the one or two that inter-est you most and explore their research potential. Do this:

Start by listing as many interests as you can that you'd like to explore.

But also ask yourself: What interests me about this tapie? What would interest others?

Some questions raise problems; others do not.

But other questions may intrigue only the researcher:

A subject is a broad área of knowledge (e.g., climate change), while a topic is a specific interest within that área (e.g., the effect of climate change on migratory birds).

As you begin a research project, you will want to distinguish a topic from a sub-ject.

From Topics to Questions

Research Design

Thinking in Multimedia: Research-Based Tips on Designing and Using Interactive Multimedia Curricula.

Instructional Design Strategies for Intensive Online Courses: An Objectivist-Constructivist Blended Approach

CREATE Overview

Research debt is the accumulation of missing interpretive labor. It’s extremely natural for young ideas to go through a stage of debt, like early prototypes in engineering. The problem is that we often stop at that point. Young ideas aren’t ending points for us to put in a paper and abandon. When we let things stop there the debt piles up. It becomes harder to understand and build on each other’s work and the field fragments.

In a 1992 paper in Organizational Science titled “The Duality of Technology: Rethinking the Concept of Technology in Organizations,” Wanda Orlikowski applied the structuration theory of sociologist Anthony Giddens to technology use and reached a similar conclusion. Giddens argued that human agency is constrained by the structures around us—technology and sociocultural conventions—and that we in turn shape those structures. Software, malleable and capable of representing rules, is especially conducive to such analysis.