earch Art Create an empirical, directional research hypothesis. So in other words, a statement of prediction about the relationship between two variables (topics). о The hypothesis should be clearly relational OR causal Relational (e.g. "I predict that...is associated with/related to...") o OR predict a causal relationship (e.g. "I predict that...leads to/causes..."). It must also identify the levels of the variables (called "directional") If relational hypothesis, ALL variables will be measured among ALL participants, identifying a positive or negative relationship " Positive Relation example (variables go in the "same" direction, high or low): "I predict that high levels of professional achievement will be associated with high levels of self-esteem." Negative Relation example (variables go in "opposite" directions from each other): "I predict that high levels of professional achievement will be associated with low levels of anxiety." If causal it should include a prediction about different conditions having different levels/amounts of some variable " Conditions compared Between Groups (Between Groups Design): "/ predict that an experimental group given chocolate to eat will report greater feelings of happiness than a control group given celery to eat." Conditions compared Within same participant (Within Subjects Design): "I predict study participants will report will report greater feelings of happiness when they are given chocolate to eat, than when they are given celery to eat.") See the class notes for more details about hypotheses. F7 & 7 U F8 *8 8 B F9 *- F10 F11 ( 9 0 *+ F12 L PrtSc Insert Delete +11 O P ( } [ 1 Backspace Num Lock 144 7 Home

earch Art Create an empirical, directional research hypothesis. So in other words, a statement of prediction about the relationship between two variables (topics). о The hypothesis should be clearly relational OR causal Relational (e.g. "I predict that...is associated with/related to...") o OR predict a causal relationship (e.g. "I predict that...leads to/causes..."). It must also identify the levels of the variables (called "directional") If relational hypothesis, ALL variables will be measured among ALL participants, identifying a positive or negative relationship " Positive Relation example (variables go in the "same" direction, high or low): "I predict that high levels of professional achievement will be associated with high levels of self-esteem." Negative Relation example (variables go in "opposite" directions from each other): "I predict that high levels of professional achievement will be associated with low levels of anxiety." If causal it should include a prediction about different conditions having different levels/amounts of some variable " Conditions compared Between Groups (Between Groups Design): "/ predict that an experimental group given chocolate to eat will report greater feelings of happiness than a control group given celery to eat." Conditions compared Within same participant (Within Subjects Design): "I predict study participants will report will report greater feelings of happiness when they are given chocolate to eat, than when they are given celery to eat.") See the class notes for more details about hypotheses. F7 & 7 U F8 8 8 B F9 - F10 F11 ( 9 0 *+ F12 L PrtSc Insert Delete +11 O P ( } [ 1 Backspace Num Lock 144 7 Home