43 of 50 Researchers have discovered that children experiencing Attention Deficit Hyperactivity Disorder (ADHD) show improvements if they attend classes on involving behavioral and social skills,...


43 of 50<br>Researchers have discovered that children experiencing Attention Deficit Hyperactivity Disorder (ADHD) show improvements if they attend classes on involving behavioral and social skills, compared to a group of ADHD children<br>who did not attend the classes. The group of children who attended the classes constitute the:<br>O experimental group.<br>O independent group.<br>O control group.<br>O placebo group.<br>44 of 50<br>When researchers use existing data to create groups for comparison, the approach is known as:<br>O ex post facto.<br>O experimental.<br>O operational.<br>O quasi-experimental.<br>45 of 50<br>If people score high on one measure and score low on another measure, there is:<br>O a positive relationship between the two measures.<br>Oa negative relationship between the two measures.<br>no relationship between the two measures.<br>a cause-and-effect relationship between the two measures.<br>ffinnrs are interested in seeing if there is a relationship between SAT or ACT scores<br>

Extracted text: 43 of 50 Researchers have discovered that children experiencing Attention Deficit Hyperactivity Disorder (ADHD) show improvements if they attend classes on involving behavioral and social skills, compared to a group of ADHD children who did not attend the classes. The group of children who attended the classes constitute the: O experimental group. O independent group. O control group. O placebo group. 44 of 50 When researchers use existing data to create groups for comparison, the approach is known as: O ex post facto. O experimental. O operational. O quasi-experimental. 45 of 50 If people score high on one measure and score low on another measure, there is: O a positive relationship between the two measures. Oa negative relationship between the two measures. no relationship between the two measures. a cause-and-effect relationship between the two measures. ffinnrs are interested in seeing if there is a relationship between SAT or ACT scores
46 of 50<br>When a college admissions office is trying to predict which students are likely to succeed if they are admitted to that college, the admissions officers are interested in seeing<br>and first year grades. In this example, the SAT or ACT scores would be the:<br>O predictor variable.<br>measured variable.<br>O confirmatory variable.<br>O criterion variable.<br>47 of 50<br>If an investigator created groups that differed in the amount of exposure participants received to a persuasive message, the independent variable woulube:<br>a task variable.<br>O a subject variable.<br>a quantitative variable.<br>a measured variable.<br>48 of 50<br>Psychologists Todd and Worrell (2000) investigated why some women are more resilient than others, recovering from adversity well. They found that important variables included the number of problematic people in their lives and<br>how the women compared themselves to others around them. In predicting resilience from the number of problematic people around the women and how the women evaluate others around them, the appropriate data analysis<br>would involve:<br>O the Pearson product-moment correlation.<br>O multiple regression.<br>analysis of variance.<br>tests of association.<br>

Extracted text: 46 of 50 When a college admissions office is trying to predict which students are likely to succeed if they are admitted to that college, the admissions officers are interested in seeing and first year grades. In this example, the SAT or ACT scores would be the: O predictor variable. measured variable. O confirmatory variable. O criterion variable. 47 of 50 If an investigator created groups that differed in the amount of exposure participants received to a persuasive message, the independent variable woulube: a task variable. O a subject variable. a quantitative variable. a measured variable. 48 of 50 Psychologists Todd and Worrell (2000) investigated why some women are more resilient than others, recovering from adversity well. They found that important variables included the number of problematic people in their lives and how the women compared themselves to others around them. In predicting resilience from the number of problematic people around the women and how the women evaluate others around them, the appropriate data analysis would involve: O the Pearson product-moment correlation. O multiple regression. analysis of variance. tests of association.
Jun 08, 2022
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