Research questions and hypotheses

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Specifying a Purpose and Research Questions or Hypotheses

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Key Ideas • The difference between purpose statements, hypotheses, and research questions • Variables in quantitative research • Quantitative purpose statements, questions, hypotheses • Qualitative purpose statements, questions, hypotheses GE3143


About Your Proposal • Have you decided on a topic? • Have you identified your research problem? • What about your research question (s) and subsequent research hypotheses?

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What are Purpose Statements, Research Questions, Hypotheses, and Objectives? Purpose Research Research Hypotheses Statement Questions Objectives Intent

Overall Direction

Form

One or more

Use

Quantitative and Qualitative Research

Placement

sentences

End of Introduction

Raise questions to be answered

Make predictions about expectations

One or more questions

One or more questions

One or More Objectives

Quantitative and Qualitative Research

Quantitative Research

Typically Quantitative Research

State Goals

End of the introduction, after the literature review, or in a separate section of the study GE3143


Why are these statements and questions important? • Represent major signposts • Help identify appropriate methods • Help link intent with the results

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What We Need to Know to Design Quantitative Purpose Statements, Research Questions, and Hypotheses

• What is a variable? • What is a theory? • What elements go into these statements and questions?

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What is a Variable? A Variable (A Characteristic or Attribute)

That can be

and

Measured

Varies

(Can be assessed on an instrument and recorded on an instrument)

(Can assume different values or scores for different individuals) GE3143


Examples of variables and non-variables Difficult but possibly measurable variables

Variables • • •

Leadership style Organizational control Proficiency

• • • •

Socialization Imagination Intuition Discrimination GE3143

Almost impossible to measure variables • Subconscious thoughts • World poverty • Stereotypes


Categorical and Continuous measures of variables • A categorical measure is a value of a variable assigned by the researcher into a small number of categories. (e.g. Gender) • A continuous measure is the value of a variable assigned by the researcher to a point along a continuum of scores, from low to high. (e.g. Age)

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Variables and Constructs • A Variable is an attribute or characteristic stated in a specific or applied way • A Construct is an attribute or characteristic expressed in an abstract, general way. Construct

Student Achievement

Variable

Grade Point Average GE3143


The Family of Variables in Quantitative Studies Probable Cause (X)

Independent Variables •Treatment •Measured

(Y) Intervening Variables

Effect (Z) Dependent Variables

Control Variables Moderating Variables

Confounding Variables GE3143


Families of Variables • Dependent Variables: An attribute or characteristic influenced by the independent variable.

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Families of Variables • Independent Variable: An attribute or characteristic that influences or effects an outcome or dependent variable. – Treatment Variable – Measured Variable – Control Variable – Moderating Variable

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Intervening Variables • Intervening Variables (Mediating Variables): An attribute or characteristic that “stands betweenâ€? the dependent and independent variables.

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Example of an Intervening Variable Step 1

Independent Variable

Dependent Variable

Example Convenient office hours

Student seeks help from faculty

for students

Step 2 Example

Step 3 Example

Independent Independent Variable Variable

Intervening Variable

Convenient office hours for students

Student becomes willing to take risks

Independent Variable

Intervening Variable

Convenient office hours for students

Student becomes willing to take risks

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Dependent Variable Student seeks help from faculty


Families of Variables • Confounding Variables (Spurious Variables): Attributes or characteristics that the researcher cannot directly measure because their effects cannot be easily separated from the other variables, even though they may influence the relationship between the independent and the dependent variable. GE3143


Theories as Bridges Between Independent and Dependent Variables

Independent Variables

Dependent Variables GE3143


Elements of quantitative purpose statement • Variables – Independent Variable (1st position in sentence) – Dependent Variable (2nd position in sentence) – Control and/or mediating variable (3rd position in sentence) – Research site – Participants GE3143


Quantitative Research Questions • 3 types: – Describe results to your variables – Compare two or more groups on the independent variable in terms of the dependent variable – Relate two or more variables

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Research Hypotheses • Three types: – Null hypothesis – Directional alternative hypothesis – Non-directional alternative hypothesis

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How do You Design Qualitative Purpose Statements and Research Questions?

• Understand how these statements and questions differ from quantitative research • Understand the role of a central phenomenon in qualitative research • Understand qualitative research as an emerging process

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Differences between quantitative and qualitative purpose statements and research questions Quantitative - more closed 1. Probable Cause/Effect (“Why did it happen?”) 2. Use of theories (Why did it happen in view of an explanation or theory?”) 3. Assessing differences and magnitude “How much happened?” “How many times did it happen?” “What were the differences among groups in what happened?” GE3143

Qualitative - more open-ended 1. Descriptive (“What happened?”) 2. Interpretive (“What was the meaning to people of what happened?”) 3. Process-oriented (“What happened over time?”)


Explaining or predicting variables versus exploring or understanding a Central Phenomenon

Quantitative Explaining or Predicting Variables X

Qualitative Understanding or exploring a Central Phenomenon

Y

The independent variable (X) influences a dependent variable (Y)

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Y In-depth understanding of Y; external forces shape and are shaped by Y


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