First Steps in Designing Quantitative Research: Asking the Right Questions Susan R. Hutchinson,...

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First Steps in Designing Quantitative Research: Asking the Right Questions Susan R. Hutchinson, Ph.D. Department of Applied Statistics & Research Methods CETL Workshop, July 10, 2012 1

Transcript of First Steps in Designing Quantitative Research: Asking the Right Questions Susan R. Hutchinson,...

Page 1: First Steps in Designing Quantitative Research: Asking the Right Questions Susan R. Hutchinson, Ph.D. Department of Applied Statistics & Research Methods.

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First Steps in Designing Quantitative Research: Asking the Right QuestionsSusan R. Hutchinson, Ph.D.Department of Applied Statistics & Research Methods

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Page 2: First Steps in Designing Quantitative Research: Asking the Right Questions Susan R. Hutchinson, Ph.D. Department of Applied Statistics & Research Methods.

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Workshop Outline

• Overview of purposes for conducting quantitative research• Role(s) served by research questions• Attributes of useful RQs• Group activity on evaluating RQs• Exercise on constructing RQs

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Pretest

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All quantitative studies include one or more research questions.

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False

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Research questions and research hypotheses are the same thing.

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False

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Research questions should “foreshadow” the data analyses.

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True

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Research questions should be posed after data are collected.

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False

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Research questions should be written using non-specific language to allow flexibility in designing the study.

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False

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All of the following are types of variables that might be included in research questions:dependent, moderator, mediator, extraneous, independent

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True

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Writing quantitative research questions requires knowledge of statistics.

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True

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What are the major purposes for conducting quantitative research?

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Quantitative research is intended to examine:• Differences between groups• Statistical significance, magnitude, and direction of

differences

• Change over time• Direction, magnitude, and between-group differences

• Relationships between 2 or more variables• Direction, magnitude, type/form, between-group

differences• Descriptions of populations and phenomena

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Page 13: First Steps in Designing Quantitative Research: Asking the Right Questions Susan R. Hutchinson, Ph.D. Department of Applied Statistics & Research Methods.

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As you’re constructing your research questions, keep in

mind the overriding purpose of quantitative research is to

understand differences

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What role do research questions play in designing quantitative research?

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What information should research questions include?• Indicate the target population• Identify the variables/constructs and what we

want to know about them• Foreshadow the type of data analysis (and

sometimes the research design)

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What characterizes a “good” research question?• Clearly conveys the variables/constructs and the nature of

their relationships• Includes independent, dependent, moderator, and mediator

variables (where applicable)• Must be answerable based on data from the study• RQs should not be rhetorical or require a value judgment to

answer• RQs should match the research design

• Should be worth investigating• A good RQ does not address a trivial issue; “so what?”• Answers to RQs should further the researcher’s understanding of

the phenomenon16

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“It is better to have an approximate answer to the right question than an exact answer to the wrong one.”

John Tukey

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Types of variables that might appear in research questions• Dependent• Independent • Extraneous• Moderator• Mediator

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Dependent variable(s)• The dependent variable is a phenomenon one is

attempting to explain or predict• Also referred to as the outcome or criterion variable

• In a survey study, often this is the variable or construct of primary interest to the researcher• It is something which the researcher wishes to

understand more fully• For many researchers conducting nonexperimental

research this is the starting point in planning a study

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Independent variable(s)• In an experimental or quasi-experimental design,

an independent variable would be the manipulated or treatment variable in your study• In a survey or other type of nonexperimental

study, where no variables are manipulated, independent variables are the factors used to explain or predict the DV

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Extraneous variables

• Extraneous variables are also called nuisance variables• These are variables which are not usually of

primary interest but are believed to be related to the independent and/or dependent variables• Their effects need to be controlled in order to

obtain meaningful results• Extraneous variables are of two broad types:• dispositional and situational

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Illustration of controlling for extraneous variables

salaryjobsatisfaction

A researcher is interested in examining the relationshipbetween salary and job satisfaction. However, the researcher suspects that factors other than salary (suchas job autonomy) are also responsible for anemployee’s level of job satisfaction.

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salaryjobsatisfaction

jobautonomy

Relationship with “job autonomy" takeninto account or controlled

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Moderator variable(s)• A moderator variable influences the strength of

the relationship between the primary independent variable and the dependent variable• Usually a moderator variable is of secondary interest

• A moderator variable would be the variable that interacts with the independent variable

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Illustration of moderator effect

Computer skills/comfort

Sat

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cti o

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i th

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low aptitude

high aptitude

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Mediator variable

• Also referred to as an intervening variable• A mediator (or mediating) variable is some

construct through which the independent variable indirectly affects the dependent variable

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Illustration of mediator variable

Parents’educationallevel

Achieve-mentmotivation

Performanceon standard-ized tests

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Examples of less than ideal RQs • What are psychologists’ perceptions of professional

development?• Are university faculty depressed?• What is the relationship between self-esteem and happiness?• How many undergraduate students dropped out of college in

2011?• What factors predict job satisfaction?• How are exercise and blood pressure related?• Is there a difference between gender and depression?• What is the impact of test anxiety on test performance?• Is religion good for society?

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Page 29: First Steps in Designing Quantitative Research: Asking the Right Questions Susan R. Hutchinson, Ph.D. Department of Applied Statistics & Research Methods.

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What are psychologists’ perceptions of professional development?

• What is the researcher hoping to learn?• What are the variables/constructs in the RQ?• What is the target population?• How might this RQ be improved?

• Which aspects of professional development do psychologists rate most versus least positively?

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Page 30: First Steps in Designing Quantitative Research: Asking the Right Questions Susan R. Hutchinson, Ph.D. Department of Applied Statistics & Research Methods.

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Or, instead of posing a descriptive question about a particular construct, consider rewording so that you can explain differences on the construct.

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• To what extent are private practice psychologists’ perceptions of the need for professional development explained by their years of experience, area of specialization, and professional degree?

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Are university faculty depressed?

• What are the independent and dependent variables?• What assumption about university faculty is

implied by the research question? • What are possible revisions?

• Does level of depression among university faculty differ based on their gender, departmental affiliation, and tenure status?

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Are university faculty depressed?

• What are the independent and dependent variables?• What assumption about university faculty is

implied by the research question?• What are possible revisions?

• Does level of depression among university faculty differ based on their gender, departmental affiliation, and tenure status, after controlling for marital status and life satisfaction? 33

Page 34: First Steps in Designing Quantitative Research: Asking the Right Questions Susan R. Hutchinson, Ph.D. Department of Applied Statistics & Research Methods.

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Hypothetical depression scores

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Page 35: First Steps in Designing Quantitative Research: Asking the Right Questions Susan R. Hutchinson, Ph.D. Department of Applied Statistics & Research Methods.

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For complex constructs that are likely to be multiply determined, you should

attempt to control for potentially extraneous

variables.

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What is the relationship between self-esteem and happiness?

• What do you think the researcher wants to know?• How might the question be revised to more

clearly convey the type of information sought?

• What is the strength of relationship between self-esteem and happiness?• Is self-esteem linearly related to happiness

among college-educated adults? 36

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How many undergraduate students dropped out of college in 2011?

• What is wrong with this question?• How might it be improved in order to provide

more useful information?

• Which of the following variables predicted undergraduate college student dropout in 2011? (grade point average, perceived social support, ….)

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What factors predict job satisfaction?

• What are the independent and dependent variables?• What is the target population?• How might you reword this RQ so that it provides

a clearer focus the researcher?

• To what extent do salary, autonomy, …. predict job satisfaction among full-time employees?

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Page 39: First Steps in Designing Quantitative Research: Asking the Right Questions Susan R. Hutchinson, Ph.D. Department of Applied Statistics & Research Methods.

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How are exercise and blood pressure related?

• What is the independent and dependent variable?• Target population?• How would you reword this RQ if you had reason

to believe gender could be a moderator variable?

• Does the strength of relation between amount of daily aerobic exercise and blood pressure differ for male and female adults?

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Page 40: First Steps in Designing Quantitative Research: Asking the Right Questions Susan R. Hutchinson, Ph.D. Department of Applied Statistics & Research Methods.

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Is there a difference between gender and depression?

• What flaw do you notice in this RQ?• What do you think the researcher actually wants

to know?• What is a possible revision?

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Page 41: First Steps in Designing Quantitative Research: Asking the Right Questions Susan R. Hutchinson, Ph.D. Department of Applied Statistics & Research Methods.

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What is the impact of test anxiety on test performance?

• Assuming the researcher plans to collect data via survey, what part of this RQ needs to be reworded and why?• How might you revise this item if you wanted to

determine if study strategies was a mediator variable?

• Do study strategies mediate the relationship between test anxiety and test performance among doctoral level social science majors? 41

Page 42: First Steps in Designing Quantitative Research: Asking the Right Questions Susan R. Hutchinson, Ph.D. Department of Applied Statistics & Research Methods.

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Is religion good for society?

• Why is this not a suitable research question?• How could you revise the question so that it is

suitable?

• Are rates of violent crimes lower in communities with higher attendance at formal religious services?

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Page 43: First Steps in Designing Quantitative Research: Asking the Right Questions Susan R. Hutchinson, Ph.D. Department of Applied Statistics & Research Methods.

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Other considerations when writing RQs• Be careful about your choice of words • Verbs such as improve, impact, affect, and predict

imply certain types of research designs• Think about how you plan to answer your

research questions as you write them• Consider the research design, measurement, and

data analysis

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Page 44: First Steps in Designing Quantitative Research: Asking the Right Questions Susan R. Hutchinson, Ph.D. Department of Applied Statistics & Research Methods.

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Research question templates

• Do [groups of interest] differ on [name of construct]?

• Do male and female undergraduate students differ in their level of statistical test anxiety?

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Templates – cont’d

• Does [name of construct] differ by [variable]?

• Does level of participation in Greeley Parks & Recreation Center classes differ by age, educational level, gender, or ethnic group?

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Templates – cont’d

• To what extent does a set of variables explain (or predict) a given outcome variable?

• To what extent do salary, working conditions, and types of job tasks predict job satisfaction?

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Page 47: First Steps in Designing Quantitative Research: Asking the Right Questions Susan R. Hutchinson, Ph.D. Department of Applied Statistics & Research Methods.

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Templates – cont’d

• Is there a relationship between [variable] and [variable]?

• Is there a relationship between teachers’ job satisfaction and perceived level of administrative support?

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Page 48: First Steps in Designing Quantitative Research: Asking the Right Questions Susan R. Hutchinson, Ph.D. Department of Applied Statistics & Research Methods.

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Templates – cont’d

• Is the relationship between [variable] and [variable] the same for [names of groups]?

• Is the relationship between teachers’ job satisfaction and perceived level of administrative support the same for novice versus experienced teachers?

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Page 49: First Steps in Designing Quantitative Research: Asking the Right Questions Susan R. Hutchinson, Ph.D. Department of Applied Statistics & Research Methods.

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Templates – cont’d

• Does a given explanatory variable (or set of variables) explain a criterion, after taking into account one or more extraneous variables?

• Does child’s achievement motivation explain performance on statewide standardized tests, after controlling for parents’ SES and academic self-concept?

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Page 50: First Steps in Designing Quantitative Research: Asking the Right Questions Susan R. Hutchinson, Ph.D. Department of Applied Statistics & Research Methods.

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Templates – cont’d

• Does [dependent variable] change [or improve or decline] across time among [population of interest]?

• Does reading level improve during a two-month summer intensive reading program for elementary school English language learners?

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Templates – cont’d

• Is the pattern of change [or improvement or decline] on [name of dependent variable] the same for [names of groups]?

• Is the rate of improvement in reading level the same for males and females?

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Page 52: First Steps in Designing Quantitative Research: Asking the Right Questions Susan R. Hutchinson, Ph.D. Department of Applied Statistics & Research Methods.

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Question Writing Exercise

• Consider a quantitative study you might conduct• Think about the overall purpose and how the

research questions will help support the purpose• You are to compose at least two research

questions, each of which should include a dependent variable and one or more independent variables.• One of your RQs will include one or more

extraneous variables and the other will include a moderator variable. 52