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Understanding research methods : an overview of the essentials / Mildred L. Patten.

By: Contributor(s): Material type: TextTextPublication details: Glendale, Calif. : Pyrczak Pub., �2009.Edition: 7th edDescription: viii, 208 pages : illustrations ; 28 cmISBN:
  • 1884585833
  • 9781884585838
Subject(s): Genre/Form: DDC classification:
  • 001.4/2 22
LOC classification:
  • Q180.55.M4 P38 2009x
Contents:
Introduction to the seventh edition -- Part A: Introduction to research methods -- 1. Introduction to empirical research -- 2. Experimental versus nonexperimental studies -- 3. Experimental versus causal-comparative studies -- 4. Types of nonexperimental research -- 5. Variables in nonexperimental studies -- 6. Variables in experimental studies -- 7. Research hypotheses, purposes, and questions -- 8. Operational definitions of variables -- 9. Quantative versus qualitative reseach: I -- 10. Quantative versus qualitative research: II -- 11. Program evaluation -- 12. Ethical considerations in research -- 13. The role of theory in research -- Part B: Reviewing Literature -- 14. Reasons for reviewing literature -- 15. Locating literature electronically -- 16. Organizing a literature review -- 17. Preparing to write a critical review -- 18. Creating a synthesis -- 19. Citing references -- Part C: Sampling -- 20. Biased and unbiased sampling -- 21. Simple random and systemic sampling -- 22. Stratified random sampling -- 23. Other methods of sampling -- 24. Sampling and demographics -- 25. Introduction to sample size -- 26. A closer look at sample size -- Part D: Instrumentation -- 27. Introduction to validity -- 28. Judgmental validity -- 29. Empirical validity -- 30. Judgmental-empirical validity -- 31. Reliability and its relationship to validity -- 32. Measures of reliability -- 33. Internal consistency and reliability -- 34. Norm- and criterion-referenced tests -- 35. Measures of optimum performance -- 36. Measures of typical performance -- Part E: Experimental design -- 37. True experimental designs -- 38. Threats to internal validity -- 39. Threats to external validity -- 40. Preexperimental designs -- 41. Quasi-experimental designs -- 42. Confounding in experiments -- F. Understanding statistics -- 43. Descriptive and inferential statistics -- 44. Introduction to the null hypothesis -- 45. Scales of measurement -- 46. Descriptions of nominal data -- 47. Introduction to the chi-square test -- 48. A closer look at the chi-square test -- 49. Shapes of distributions -- 50. The mean, median, mode -- 51. The mean and the standard deviation -- 52. The median and interquartile range -- 53. The pearson correlation coefficient -- 54. The t test -- 55. One-way analysis of variance -- 56. Two-way analysis of variance -- 57. Practical significance of results -- Part G: Effect size and meta-analysis -- 58. Introduction to effect size (d) -- 59. Interpretation of effect size (d) -- 60. Effect size and correlation (r) -- 61. Introduction to meta-analysis -- 62. Meta-analysis and effect size -- 63. Meta-analysis: strengths and weaknesses -- Part H: Qualitative research -- 64. Sampling in qualitative research: I -- 65. Sampling in qualitative research: II -- 66. Measurement in qualitative research: I -- 67. Measurement in qualitative research: II -- 68. Quality control in qualitative research -- 69. Grounded theory for data analysis -- 70. Consensual qualitative research: analysis -- Part I: Preparing research reports -- 71: The structure of a research report -- 72. Introduction and literature review -- 73. Describing participants -- 74. Describing instrumentation -- 75. Reporting research results -- 76. Writing the discussion -- 77. Preparing theses and dissertations -- Appendices -- A. Electronic databases for locating literature -- B. Electronic sources of statistical information -- C. Excerpts from literature reviews -- D.A closer look at the standard devaition -- E.A closer look at effect size -- F. Outline of question route for a focus group study -- G. Sample abstracts of research reports -- H. Sample description of qualitative data analysis -- Tables -- 1. Table of random numbers -- 2. Table of recommended sample sizes -- Index.
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Item type Current library Collection Call number Status Date due Barcode
Books Books UCC Main Library STUDREF Q180.55.M4P27 (Browse shelf(Opens below)) Available 30261101457994

"This edition was written in collaboration with Randall R. Bruce"--Title page verso.

Includes bibliographical references and index.

Introduction to the seventh edition -- Part A: Introduction to research methods -- 1. Introduction to empirical research -- 2. Experimental versus nonexperimental studies -- 3. Experimental versus causal-comparative studies -- 4. Types of nonexperimental research -- 5. Variables in nonexperimental studies -- 6. Variables in experimental studies -- 7. Research hypotheses, purposes, and questions -- 8. Operational definitions of variables -- 9. Quantative versus qualitative reseach: I -- 10. Quantative versus qualitative research: II -- 11. Program evaluation -- 12. Ethical considerations in research -- 13. The role of theory in research -- Part B: Reviewing Literature -- 14. Reasons for reviewing literature -- 15. Locating literature electronically -- 16. Organizing a literature review -- 17. Preparing to write a critical review -- 18. Creating a synthesis -- 19. Citing references -- Part C: Sampling -- 20. Biased and unbiased sampling -- 21. Simple random and systemic sampling -- 22. Stratified random sampling -- 23. Other methods of sampling -- 24. Sampling and demographics -- 25. Introduction to sample size -- 26. A closer look at sample size -- Part D: Instrumentation -- 27. Introduction to validity -- 28. Judgmental validity -- 29. Empirical validity -- 30. Judgmental-empirical validity -- 31. Reliability and its relationship to validity -- 32. Measures of reliability -- 33. Internal consistency and reliability -- 34. Norm- and criterion-referenced tests -- 35. Measures of optimum performance -- 36. Measures of typical performance -- Part E: Experimental design -- 37. True experimental designs -- 38. Threats to internal validity -- 39. Threats to external validity -- 40. Preexperimental designs -- 41. Quasi-experimental designs -- 42. Confounding in experiments -- F. Understanding statistics -- 43. Descriptive and inferential statistics -- 44. Introduction to the null hypothesis -- 45. Scales of measurement -- 46. Descriptions of nominal data -- 47. Introduction to the chi-square test -- 48. A closer look at the chi-square test -- 49. Shapes of distributions -- 50. The mean, median, mode -- 51. The mean and the standard deviation -- 52. The median and interquartile range -- 53. The pearson correlation coefficient -- 54. The t test -- 55. One-way analysis of variance -- 56. Two-way analysis of variance -- 57. Practical significance of results -- Part G: Effect size and meta-analysis -- 58. Introduction to effect size (d) -- 59. Interpretation of effect size (d) -- 60. Effect size and correlation (r) -- 61. Introduction to meta-analysis -- 62. Meta-analysis and effect size -- 63. Meta-analysis: strengths and weaknesses -- Part H: Qualitative research -- 64. Sampling in qualitative research: I -- 65. Sampling in qualitative research: II -- 66. Measurement in qualitative research: I -- 67. Measurement in qualitative research: II -- 68. Quality control in qualitative research -- 69. Grounded theory for data analysis -- 70. Consensual qualitative research: analysis -- Part I: Preparing research reports -- 71: The structure of a research report -- 72. Introduction and literature review -- 73. Describing participants -- 74. Describing instrumentation -- 75. Reporting research results -- 76. Writing the discussion -- 77. Preparing theses and dissertations -- Appendices -- A. Electronic databases for locating literature -- B. Electronic sources of statistical information -- C. Excerpts from literature reviews -- D.A closer look at the standard devaition -- E.A closer look at effect size -- F. Outline of question route for a focus group study -- G. Sample abstracts of research reports -- H. Sample description of qualitative data analysis -- Tables -- 1. Table of random numbers -- 2. Table of recommended sample sizes -- Index.

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