Preface |
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xiii | |
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Research in the Behavioral Sciences |
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1 | (32) |
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The Beginnings of Behavioral Research |
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2 | (2) |
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Goals of Behavioral Research |
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4 | (2) |
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4 | (1) |
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4 | (1) |
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5 | (1) |
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Solving Behavioral Problems |
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5 | (1) |
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5 | (1) |
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The Value of Research to the Student |
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6 | (1) |
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7 | (3) |
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8 | (1) |
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8 | (1) |
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9 | (1) |
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Behavioral Science and Common Sense |
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10 | (1) |
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11 | (2) |
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The Role of Theory in Science |
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13 | (1) |
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14 | (2) |
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A Priori Predictions and Post Hoc Explanations |
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16 | (1) |
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Conceptual and Operational Definitions |
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16 | (3) |
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Proof and Disproof in Science |
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19 | (4) |
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The Logical Impossibility of Proof |
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19 | (1) |
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The Practical Impossibility of Disproof |
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20 | (1) |
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If Not Proof or Disproof, Then What? |
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20 | (3) |
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Strategies of Behavioral Research |
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23 | (2) |
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23 | (1) |
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23 | (1) |
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24 | (1) |
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Quasi-Experimental Research |
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24 | (1) |
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Domains of Behavioral Science |
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25 | (2) |
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27 | (1) |
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28 | (5) |
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Behavioral Variability and Research |
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33 | (20) |
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Variability and the Research Process |
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34 | (3) |
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Variance: An Index of Variability |
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37 | (5) |
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A Conceptual Explanation of Variance |
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38 | (1) |
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A Statistical Explanation of Variance |
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39 | (3) |
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Systematic and Error Variance |
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42 | (4) |
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42 | (1) |
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43 | (2) |
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Distinguishing Systematic from Error Variance |
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45 | (1) |
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Assessing the Strength of Relationships |
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46 | (1) |
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Meta-Analysis: Systematic Variance Across Studies |
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47 | (2) |
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49 | (4) |
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The Measurement of Behavior |
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53 | (24) |
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54 | (2) |
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56 | (1) |
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Estimating the Reliability of a Measure |
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57 | (8) |
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58 | (1) |
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Reliability as Systematic Variance |
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59 | (1) |
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60 | (4) |
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Increasing the Reliability of Measures |
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64 | (1) |
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Estimating the Validity of a Measure |
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65 | (6) |
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65 | (6) |
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Fairness and Bias in Measurement |
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71 | (2) |
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73 | (4) |
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Approaches to Psychological Measurement |
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77 | (27) |
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78 | (7) |
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Naturalistic Versus Contrived Settings |
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78 | (2) |
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Disguised Versus Nondisguised Observation |
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80 | (2) |
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82 | (3) |
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Increasing the Reliability of Observational Methods |
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85 | (1) |
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85 | (1) |
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Self-Report: Questionnaires and Interviews |
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86 | (11) |
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86 | (5) |
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91 | (2) |
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93 | (1) |
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Advantages of Questionnaires Versus Interviews |
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94 | (1) |
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Biases in Self-Report Measurement |
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94 | (3) |
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97 | (2) |
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99 | (1) |
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100 | (4) |
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104 | (32) |
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Types of Descriptive Research |
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105 | (4) |
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105 | (2) |
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107 | (1) |
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108 | (1) |
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108 | (1) |
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109 | (10) |
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109 | (7) |
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116 | (3) |
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Describing and Presenting Data |
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119 | (12) |
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Criteria of a Good Description |
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119 | (1) |
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120 | (5) |
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Measures of Central Tendency |
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125 | (1) |
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126 | (1) |
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Standard Deviation and the Normal Curve |
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127 | (3) |
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130 | (1) |
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131 | (5) |
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136 | (26) |
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The Correlation Coefficient |
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138 | (1) |
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A Graphic Representation of Correlations |
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139 | (3) |
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The Coefficient of Determination |
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142 | (4) |
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Statistical Significance of r |
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146 | (2) |
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Factors That Distort Correlation Coefficients |
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148 | (4) |
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148 | (2) |
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150 | (2) |
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152 | (1) |
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Correlation and Causality |
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152 | (3) |
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155 | (1) |
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Other Correlation Coefficients |
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156 | (1) |
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157 | (5) |
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Advanced Correlational Strategies |
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162 | (22) |
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Predicting Behavior: Regression Strategies |
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162 | (9) |
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163 | (2) |
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Types of Multiple Regression |
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165 | (5) |
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170 | (1) |
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Assessing Directionality: Cross-Lagged and Structural Equations Analysis |
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171 | (4) |
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Cross-Lagged Panel Design |
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171 | (1) |
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Structural Equations Modeling |
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172 | (3) |
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Uncovering Underlying Dimensions: Factor Analysis |
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175 | (4) |
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176 | (1) |
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Basics of Factor Analysis |
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176 | (2) |
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178 | (1) |
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179 | (5) |
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Basic Issues in Experimental Research |
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184 | (34) |
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Manipulating the Independent Variable |
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186 | (5) |
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186 | (4) |
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190 | (1) |
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Assignment of Participants of Conditions |
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191 | (6) |
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191 | (1) |
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Matched Random Assignment |
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192 | (1) |
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Repeated Measures Designs |
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193 | (4) |
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197 | (3) |
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197 | (1) |
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198 | (1) |
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199 | (1) |
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200 | (8) |
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200 | (1) |
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Threats to Internal Validity |
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201 | (4) |
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Experimenter Expectancies, Demand Characteristics, and Placebo Effects |
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205 | (3) |
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208 | (3) |
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Sources of Error Variance |
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208 | (3) |
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Experimental Control and Generalizability: The Experimenter's Dilemma |
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211 | (1) |
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212 | (6) |
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218 | (25) |
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219 | (5) |
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Assigning Participants to Conditions |
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220 | (1) |
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Posttest and Pretest-Posttest Designs |
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221 | (3) |
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224 | (6) |
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225 | (3) |
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Assigning Participants to Conditions |
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228 | (2) |
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Main Effects and Interactions |
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230 | (5) |
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230 | (1) |
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231 | (3) |
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234 | (1) |
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Combining Independent and Subject Variables |
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235 | (4) |
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239 | (4) |
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Analyzing Experimental Data |
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243 | (19) |
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An Intuitive Approach to Analysis |
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244 | (2) |
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The Problem: Error Variance Can Cause Mean Differences |
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245 | (1) |
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The Solution: Inferential Statistics |
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245 | (1) |
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246 | (4) |
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246 | (1) |
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Type I and Type II Errors |
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247 | (3) |
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250 | (1) |
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250 | (1) |
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Analysis of Two-Group Experiments: The t-Test |
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250 | (6) |
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251 | (4) |
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Back to the Droodles Experiment |
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255 | (1) |
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Analyses of Matched-Subjects and Within-Subjects Designs |
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256 | (1) |
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257 | (5) |
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Analyzing Complex Designs |
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262 | (20) |
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The Problem: Multiple Tests Inflate Type I Error |
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263 | (1) |
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The Rationale Behind ANOVA |
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264 | (1) |
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265 | (6) |
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265 | (1) |
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Sum of Squares Within-Groups |
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266 | (1) |
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Sum of Squares Between-Groups |
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267 | (1) |
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267 | (1) |
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Extension of ANOVA to Factorial Designs |
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268 | (3) |
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271 | (3) |
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271 | (1) |
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272 | (2) |
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Between-Subjects and Within-Subjects ANOVAs |
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274 | (1) |
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Multivariate Analysis of Variance |
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274 | (3) |
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Conceptually Related Dependent Variables |
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275 | (1) |
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Inflation of Type I Error |
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275 | (1) |
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276 | (1) |
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Experimental and Nonexperimental Uses of Inferential Statistics |
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277 | (1) |
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278 | (1) |
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279 | (3) |
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Quasi-Experimental Designs |
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282 | (24) |
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284 | (7) |
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How NOT to Do a Study: The One-Group Pretest-Posttest Design |
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285 | (1) |
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Nonequivalent Control Group Design |
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286 | (5) |
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291 | (5) |
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Simple Interrupted Time Series Design |
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291 | (3) |
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Interrupted Time Series with a Reversal |
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294 | (1) |
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Control Group Interrupted Time Series Design |
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295 | (1) |
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296 | (2) |
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298 | (2) |
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Evaluating Quasi-Experimental Designs |
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300 | (3) |
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Threats to Internal Validity |
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300 | (2) |
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Increasing Confidence in Quasi-Experimental Results |
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302 | (1) |
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303 | (3) |
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306 | (23) |
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Single-Case Experimental Designs |
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308 | (13) |
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Criticisms of Group Designs and Analyses |
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309 | (3) |
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Basic Single-Case Experimental Designs |
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312 | (4) |
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Data from Single-Participant Designs |
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316 | (2) |
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Uses of Single-Case Experimental Designs |
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318 | (2) |
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Critique of Single-Participant Designs |
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320 | (1) |
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321 | (4) |
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Uses of the Case Study Method |
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322 | (1) |
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Limitations of the Case Study Approach |
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323 | (2) |
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325 | (4) |
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Ethical Issues in Behavioral Research |
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329 | (24) |
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Approaches to Ethical Decisions |
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330 | (2) |
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332 | (3) |
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333 | (1) |
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334 | (1) |
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Balancing Benefits and Costs |
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334 | (1) |
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The Institutional Review Board |
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334 | (1) |
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The principle of Informed Consent |
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335 | (3) |
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Obtaining Informed Consent |
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335 | (1) |
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Problems with Obtaining Informed Consent |
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336 | (2) |
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338 | (1) |
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339 | (1) |
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Physical and Mental Stress |
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339 | (1) |
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340 | (2) |
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340 | (1) |
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341 | (1) |
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Confidentiality in Research |
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342 | (2) |
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344 | (1) |
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Ethical Principles in Research with Animals |
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345 | (2) |
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347 | (3) |
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350 | (1) |
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350 | (3) |
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353 | (46) |
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How Scientific Findings Are Disseminated |
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353 | (4) |
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354 | (1) |
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Presentations at Professional Meetings |
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355 | (1) |
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356 | (1) |
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Elements of Good Scientific Writing |
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357 | (5) |
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357 | (1) |
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358 | (2) |
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360 | (1) |
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Proofreading and Rewriting |
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361 | (1) |
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362 | (2) |
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362 | (2) |
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364 | (1) |
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364 | (6) |
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365 | (1) |
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366 | (1) |
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367 | (1) |
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367 | (1) |
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368 | (1) |
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369 | (1) |
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Citing and Referencing Previous Research |
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370 | (3) |
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370 | (1) |
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371 | (2) |
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Other Aspects of APA Style |
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373 | (4) |
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373 | (1) |
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Headings, Spacing, Pagination, and Numbers |
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374 | (3) |
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377 | (22) |
Glossary |
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399 | (12) |
Appendix A Statistical Tables |
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411 | (7) |
Appendix B Computational Formulas for ANOVA |
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418 | (9) |
References |
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427 | (8) |
Index |
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435 | |