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Introduct ı on to Cl I n ı cal Psychology: Sc ı ence , Pract ı ce and Eth ı cs Research methods

This research covers the generation of research hypotheses, research design options, and ethical considerations in clinical psychology. It also explores the psychometric properties of measurement options and the significance of research outcomes.

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Introduct ı on to Cl I n ı cal Psychology: Sc ı ence , Pract ı ce and Eth ı cs Research methods

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  1. Introductıon toClInıcal Psychology:Scıence, Practıce and EthıcsResearch methods Assist. Prof. Merve Topcu Department of Psychology, Çankaya University 2016-2017, Fall

  2. Research in Clinical Psychology • Generating resarch hypothesis • Ethics • Determine research design options

  3. Research in Clinical Psychology • Generating resarch hypothesis • Previous literature • Operational definition • Conceptualizing relationship btw variables

  4. Research in Clinical Psychology • Ethical issues • Türk Psikologlar Derneği Etik Yönetmeliği • Çankaya Üniversitesi bilimsel araştırma ve yayınlar etik kurulu yönergesi

  5. Research in Clinical Psychology • Ethical issues • Institutional approval • Informed consent for research • Informed consent for recording • Client/patient, student, & subordinate research participants • Dispensing w/ informed consent • Offering inducements for research participants • Deception in research • Debriefing • Humane care & use of animals in research • Reporting research results • Plagiarism • Publication credit • Duplicate publication of date • Sharing research data for verification • Oblication on reviewers

  6. Research in Clinical Psychology • Determine research design options • Internal validity • the extent to which the interpretations drawn from the results of astudy can be justified and alternative interpretations can be reasonably ruled out • Threats to validity • History • Maturation • Testing • Instrumentation • Statistical regression • Selection bias • Attrition • External validity • Generalizibility of the results

  7. Research designs • Case study • Correlational studies • Degree of r/ship btw two variables • No causal r/ship • Correlation • Mediation • Moderation • Prevention • Intervention • Experimental desings • Meta-analysis

  8. Participants selection & assignment • Sampling • Optimize the fit betweencharacteristics of the population to which the results will be generalized • The type of sample that should be recruited • The number of participants required for the study • Statistical power

  9. Measurement options • Self-report measures • Informant-report measures • Rater evaluations • Performance measures • Projective measures • Observation of behavior • Psychophisiological measures • Archiaval data

  10. Psychometric properties of the measures • Reliability • Internal Consistency • The degree to which elements of the measure (such as items on a test) are homogeneous. • Test-Retest Reliability • The stability over time of scores on a measure. • Interrater Reliability • The consistency of scores on a measure across different raters or observers

  11. Psychometric properties of the measures • Validity • Content Validity: The extent to which the measure fully and accurately represents all elements of the domain of the construct being assessed. • Face Validity: The extent to which the measure overtly appears to be measuring the construct of interest. • Criterion Validity: The association of a measure with some criterion of central relevance to the construct, such asdifferentiating between groups of research participants. • Concurrent Validity: The association of a measure with other relevant data measured at the same point in time. • Predictive Validity: The association of a measure with other relevant data measured at some future point in time. • Convergent Validity: The association between a measure and either other measures of the same construct or conceptually related constructs. • Discriminant Validity: The association between measures that, conceptually, shouldnot be related. • Incremental Validity: The extent to which a measure adds to the prediction of a criterion beyond what can be predicted with other measurement data.

  12. Significance • Statistical vs clinical significance • the outcome of a study andthe degree to which a research hypothesis was supported • evaluating the degree to which the intervention has had a meaningful impact on thefunctioning of the treated participants

  13. Fin..

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