Research Primer For The Helping Professions: Methods, Statistics, and Writings / Edition 1

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This applied text presents an overview of the research process appropriate for a first course in research methods and as a refresher for more advanced students. It is an integrated text-balancing research methods, statistics, and writing-and shows students how all of these processes are integral to the research process. It takes an interdisciplinary approach, cutting across social work, counseling, and human services.

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Product Details

  • ISBN-13: 9780534355852
  • Publisher: Cengage Learning
  • Publication date: 12/21/1999
  • Series: Research, Statistics, & Program Evaluation Series
  • Edition description: New Edition
  • Edition number: 1
  • Pages: 384
  • Product dimensions: 7.44 (w) x 9.27 (h) x 0.67 (d)

Table of Contents

PART I: INTRODUCTION TO SOCIAL SCIENCE RESEARCH. 1. The Nature of Social Science Research. 2. Social Science Research Ethics and the Helping Professional. PART II: CONDUCTING A RESEARCH STUDY IN THE HELPING PROFESSIONS. 3. Designing a Research Study in the Helping Professions. 4. A Model for Conducting Qualitative (Naturalistic) Research. 5. A Model for Conduction Quantitative (Statistical) Research. PART III: RESEARCH METHODS FOR HELPING PROFESSIONALS. 6. Using Single Subject Research Design in the Helping Professions. 7. Techniques for Collecting your Quantitative (Statistical) Data. 8. The Questionnaire, Scales and Measurement. PART IV: STATISTICS FOR HELPING PROFESSIONALS. 9. Variables, Data, and Data Organization. 10. The Normal Curve and Levels of Measurement. 11. Central Tendency and Variability. 12. Probability and Testing Your Hypothesis. 13. Probability and Sampling. 14. Univariate, Bivariate, and Multivariate Analysis. 15. Frequency Distribution. 16. Nonparametric Tests for Nominal and Ordinal Data: Group Comparison and Time-Series. 17. Crossbreak, the Chi Square Test and Its Phi Coefficient. 18. The T-Test for Analyzing the Difference Between the Averages/Means of Two Groups. 19. Correlation: Measure of Association. 20. Regression and Multiple Regression: Establishing Causation. 21. Analysis of Variance (ANOVA, MANOVA, ANCOVA, and MANCOVA): Group Comparisons. 22. Factor Analysis. 23. Discriminant Analysis. 24. Path Analysis. 25. Cluster Analysis. 26. Other Advanced Statistical Tests: Canonical Correlational Analysis and Log-Linear Models. PART V: WRITING RESEARCH PAPERS AND JOURNAL ARTICLES. 27. A Model for Writing A Research Paper for Class, A Dissertation, or an Article for a Professional Journal. REFERENCES.

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