introduction theory verification hypotheses data presentation of
DESCRIPTION
Common Sense vs. Science Procedures CS: Quick acceptance of explanations S: Slow and deliberate theory building and testing Hypotheses CS: “Selective” testing and post hoc explanations S: Systematic testing, a priori hypotheses, and empirical basis Phenomena CS: May include untestable phenomena S: Only concerned with observable and testable phenomena Modification CS: Modification through selective recollection S: Replication and systematic testing - self-correcting 2TRANSCRIPT
Introduction
Theory
Hypotheses
Data
Verification
Theory buildingHypothesis generation
Measurement issuesResearch designSampling issues
Statistical analysisInterpretation
Presentation of results
GeneralizationCumulationModification
Common Sense vs. ScienceProcedures
CS: Quick acceptance of explanationsS: Slow and deliberate theory building and testing
HypothesesCS: “Selective” testing and post hoc explanationsS: Systematic testing, a priori hypotheses, and empirical basis
PhenomenaCS: May include untestable phenomenaS: Only concerned with observable and testable phenomena
ModificationCS: Modification through selective recollectionS: Replication and systematic testing - self-correcting
Sources of discovery(McCall & Bobko)
(1) Serendipity - chance discovery(2) Sagacity - ability to recognize what
unexpected results mean(3) N=1 - qualitative studies(4) Socializing - interacting with others can
create insight(5) Metaphors - applying metaphors to the
unknown(6) Error variance - pay attention to the
abnormal
TYPE I AND TYPE II ERRORS
Ho True Ho FalseTRUE STATE OF WORLD
DECISION Reject Ho
Fail toReject Ho
Type I Errorp =
Type II Errorp =
Correct decisionp = 1 -
Correct decisionp = 1 - power
Important Concepts in Research
Forms of ControlInternal ValidityExternal Validity
ControlManipulation
Elimination or inclusion
Statistical
Randomization
Types of Validity (C&C, 1979)
Statistical conclusion
Construct
Internal
External
Authorship DecisionsWhat is authorship?
A professional contribution that is creative and intellectual in natureIncludes
Developing research designs/ideasWriting portions of a manuscriptIntegrating theoryIntegrating conceptual modelsMaking decisions about data analysisInterpreting results
Authorship Decisions
What authorship is notBased on time and effortDoes not include
Advice on what data analysis to doResearch idea onlyLiterature searchesData collectionDesign of equipment
Authorship DecisionsSome guidelines include:
Discuss up frontRenegotiate as things changeConsider where students fall on the line of competence, greater competence typically yields greater contributionShould not be affected by paid participation (controversial)Get advice if you are unsure what constitutes authorship
How do you do research that is:
• Significant?• Likely to be published in good
journals?• Likely to be read by peers?• Likely to be cited by peers?
Persistence
1. Doing good research is persistence, persistence, persistence. –rethink, rethink—re-examine the issue over and over again more fine-grained each time. You need to think deeply about what you want to do.
Discussion and Collaboration
Research benefits by discussing ideas with others. It helps to focus your thoughts and you benefit by the thoughts of others when you air your ideas.
Multi-authored articles are OK. Try to have teams with complementary skills—some limitations.Go to conventions and network.
Doing
You will not learn research from a research course; you learn research by doing research. The more research you do the better future research will be—you develop a template for doing research"Good" research only raises more questions. You realize how little you know about the phenomena and what you need to know.
TheoryResearch without a strong theoretical basis less likely to make a contribution and be published.Research frequently ignores the mediating process when documenting relationships—We miss the underlying reason why the event took place or depend on theory to explain the event. Process measures always help.The hardest part of the research is deciding on the problem and hypotheses (theoretical part).
MethodsTriangulation – combine an experimental (manipulation) study with a surveyMulti-source data (multi people, methods)Pilot what you do on a small sample firstUse reliable and valid measurementSeparate the independent from the dependent variables using different measurement strategies. Try to measure behavior not attitudes as the primary dependent variable.
Build on past research
Articles in JAP, OBHDP, Personnel Psychology 84% were coupled, building on existing research by:
Use different subject populationUse different operationalization of variablesUse different levels of variablesExamine variables together previously examined separatelyAdding mediators or moderators
Reasons For RejectionInadequate Justification For Doing Study
Unclear research questionUnclear theoretical basis for questionDoes not articulate the importance of the research
“Why is this question important?”Does not articulate the contribution
“What is new and different about the study that adds to the literature?”Sometimes the study really does not have a contribution
Methods Are Inadequate to Answer Question
Confounded variables Appropriate control variables are lacking Make statements of causality while
methods (correlation) only allow one to make statements of association.
Reasons For Rejection
Measurement IssuesIncorrect operationalization of the variables.
Common with archival dataConstruct validity - Absence of justification that variables being measured actually assess the construct. Construct validityPoor reliability of scales
Reasons For Rejection
Key Terms
Independent Variable—Variable that is manipulated in a experiment, the cause—the antecedent or predictor variable when measured.
Dependent Variable—The variable that is used to measure the effects of the independent variable in an experiment, the effect. The consequence or criterion variable when measured.
Mediation vs. ModerationResearchers often confuse mediation and moderationTwo completely different processes and analytical approachesMediation implies the effect of an independent variable on a DV occurs through another variableModeration implies the effect of an independent variable on a DV depends on the level of another variable
In terms of research terminology:
The existence of an interaction indicates the effect (relationship) of the IV with the DV is different at different values of the moderator variable.
Moderator
Moderation
IV
Moderator
DV
Example of Moderator
Males
Low
High
Y
X HighLow
Females
When X = amount of coffee consumed and Y = minutes spent on treadmill
Example of Moderator
Low
High
Y
X HighLow
Z Easy
Z Medium
Z Difficult
X = hours studied, Y = test performance,Z = test difficulty
Example of Moderation
Experts
Low
High
Y
X HighLow
Novices
Where X = blood alcohol levelY = video game score
Mediator Variables
The mechanism or process through which a variable has its effect on other variables
Obtaining PhD
Lack of Personal
Time
Marital Conflict
Assignment 1
Find an empirical article in your field of interest that tests the relationship between an independent variable dependent variable and tests the impact of a moderator variable on this relationship.
1) Describe the independent variable(s) and the dependent variable(s).
2) State the hypothesis that describes the relationship between the independent and the dependent variable.
3) State the hypothesis that describes how the moderating variable is expected to change the relationship between the independent and dependent variable.
4) Illustrate the hypothesized moderated relationship in a figure.
5) Did the results find evidence for a moderated relationship?