Chapt 1 intro su14

135
-1

Published on

Chapter 1 Abnormal Psychology

Published in: Technology
0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total Views
135
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
6
Comments
0
Likes
1
Embeds 0
No embeds

No notes for slide

Chapt 1 intro su14

  1. 1. CHAPTER 1 Abnormal Psychology: An Overview
  2. 2. What is Abnormal? Suffering Elements of abnormality include: Maladaptiveness Deviancy Violation of the Standards of Society Social Discomfort Irrationality and Unpredictability Dangerousness
  3. 3. What is Abnormal: key concepts • Statistical deviance from the norm • Impairment of functioning • Distress
  4. 4. Advantages of classification • Provide nomenclature • Permits sharing information • Social and political implications • Classify disorders, not people
  5. 5. Disadvantages of classification • Stigma • Public • Private/self-concept • Stereotyping • Lose sight of individual differences
  6. 6. Culture and Abnormality • Cultural factors influence • Presentation of disorders • Culture-specific disorders • Example: ataque de nervios
  7. 7. Prevalence Prevalence Number of active cases in population during any given period of time Typically expressed as percentages Different types of prevalence estimates
  8. 8. Incidence Incidence Number of new cases in population over given period of time Incidence figures are typically lower than prevalence figures
  9. 9. Research Approaches: Self-Report Participants asked to provide information about themselves Interviews and Questionnaires May be inaccurate
  10. 10. Research Approaches: Observation Collecting information without asking participants directly for it Outward behavior can be observed directly Biological variables can be observed via technologically advanced methods
  11. 11. Research Designs • Case study • Correlational Research • Experimental Design
  12. 12. Case Studies Specific individual observed and described in detail Subject to bias of author of case study Low generalizability
  13. 13. Correlation • Relationship between two variables • Correlation coefficient • Statistically significant? • Positive or negative? • How strong? • Correlation does not mean causation • A→B • B→A • C→B A
  14. 14. Experimental Method • Independent Variable • Manipulated by the researcher • Typically an experimental group vs. control group • Dependent Variable • The outcome of interest • Random Assignment • Participants have equal chance of being in experimental group or control • Supposed to reduce confounding variables
  15. 15. Single-case experiments: ABAB Design
  16. 16. Issues to consider • Internal validity • How controlled? • Can we trust results of the study? • External validity • Are the results relevant outside the study itself? • Generalizability

×