# data[].attributes.headline
What was the sample? What was the sampling technique used in this case? 

# data[].attributes.subject
What was the sample? What was the sampling technique used in this case? 

# data[].attributes.body
(Random or stratified)

# data[].attributes.headline
What are some limitations of this sampling technique? 

# data[].attributes.subject
What are some limitations of this sampling technique? 

# data[].attributes.headline
What experimental design did this case use? 

# data[].attributes.subject
What experimental design did this case use? 

# data[].attributes.body
(Within subjects, between subjects, mixed design)

# data[].attributes.headline
What are some ethical concerns with this case? 

# data[].attributes.subject
What are some ethical concerns with this case? 

# data[].attributes.body
(confidentiality, informed consent, voluntary participation, withdrawal rights, use of deception, debriefing)

# data[].attributes.headline
What are some extraneous or confounding variables? 

# data[].attributes.subject
What are some extraneous or confounding variables? 

# data[].attributes.body
(Participant-related variables, order effects, placebo effects, experimenter effects, situational variables, non-standardised instructions and procedures, demand characteristics)

# data[].attributes.body
Hypothesis template: It was hypothesised that POPULATION are DIRECTION to DV when IV compared to WITHOUT IV.

# data[].attributes.headline
What is you sample? What is your sampling technique?

# data[].attributes.subject
What is you sample? What is your sampling technique?

# data[].attributes.headline
Which experimental design are you going to use? Why?

# data[].attributes.subject
Which experimental design are you going to use? Why?

# data[].attributes.headline
How are you going to uphold ethical guidelines? 

# data[].attributes.subject
How are you going to uphold ethical guidelines? 

# data[].attributes.headline
What was the sample? What was the sampling technique used in this case? 

# data[].attributes.subject
What was the sample? What was the sampling technique used in this case? 

# data[].attributes.body
(Random or stratified)

# data[].attributes.headline
What was the sample? What was the sampling technique used in this case? 

# data[].attributes.subject
What was the sample? What was the sampling technique used in this case? 

# data[].attributes.body
(Random or stratified)

# data[].attributes.headline
What was the sample? What was the sampling technique used in this case? 

# data[].attributes.subject
What was the sample? What was the sampling technique used in this case? 

# data[].attributes.body
(Random or stratified)

# data[].attributes.headline
What was the sample? What was the sampling technique used in this case? 

# data[].attributes.subject
What was the sample? What was the sampling technique used in this case? 

# data[].attributes.body
(Random or stratified)

# data[].attributes.headline
What are some limitations of this sampling technique? 

# data[].attributes.subject
What are some limitations of this sampling technique? 

# data[].attributes.headline
What are some limitations of this sampling technique? 

# data[].attributes.subject
What are some limitations of this sampling technique? 

# data[].attributes.headline
What are some limitations of this sampling technique? 

# data[].attributes.subject
What are some limitations of this sampling technique? 

# data[].attributes.headline
What are some limitations of this sampling technique? 

# data[].attributes.subject
What are some limitations of this sampling technique? 

# data[].attributes.headline
What experimental design did this case use? 

# data[].attributes.subject
What experimental design did this case use? 

# data[].attributes.body
(Within subjects, between subjects, mixed design)

# data[].attributes.headline
What experimental design did this case use? 

# data[].attributes.subject
What experimental design did this case use? 

# data[].attributes.body
(Within subjects, between subjects, mixed design)

# data[].attributes.headline
What experimental design did this case use? 

# data[].attributes.subject
What experimental design did this case use? 

# data[].attributes.body
(Within subjects, between subjects, mixed design)

# data[].attributes.headline
What experimental design did this case use? 

# data[].attributes.subject
What experimental design did this case use? 

# data[].attributes.body
(Within subjects, between subjects, mixed design)

# data[].attributes.headline
What are some ethical concerns with this case? 

# data[].attributes.subject
What are some ethical concerns with this case? 

# data[].attributes.body
(confidentiality, informed consent, voluntary participation, withdrawal rights, use of deception, debriefing)

# data[].attributes.headline
What are some ethical concerns with this case? 

# data[].attributes.subject
What are some ethical concerns with this case? 

# data[].attributes.body
(confidentiality, informed consent, voluntary participation, withdrawal rights, use of deception, debriefing)

# data[].attributes.headline
What are some ethical concerns with this case? 

# data[].attributes.subject
What are some ethical concerns with this case? 

# data[].attributes.body
(confidentiality, informed consent, voluntary participation, withdrawal rights, use of deception, debriefing)

# data[].attributes.headline
What are some ethical concerns with this case? 

# data[].attributes.subject
What are some ethical concerns with this case? 

# data[].attributes.body
(confidentiality, informed consent, voluntary participation, withdrawal rights, use of deception, debriefing)

# data[].attributes.headline
What are some extraneous or confounding variables? 

# data[].attributes.subject
What are some extraneous or confounding variables? 

# data[].attributes.body
(Participant-related variables, order effects, placebo effects, experimenter effects, situational variables, non-standardised instructions and procedures, demand characteristics)

# data[].attributes.headline
What are some extraneous or confounding variables? 

# data[].attributes.subject
What are some extraneous or confounding variables? 

# data[].attributes.body
(Participant-related variables, order effects, placebo effects, experimenter effects, situational variables, non-standardised instructions and procedures, demand characteristics)

# data[].attributes.headline
What are some extraneous or confounding variables? 

# data[].attributes.subject
What are some extraneous or confounding variables? 

# data[].attributes.body
(Participant-related variables, order effects, placebo effects, experimenter effects, situational variables, non-standardised instructions and procedures, demand characteristics)

# data[].attributes.headline
What are some extraneous or confounding variables? 

# data[].attributes.subject
What are some extraneous or confounding variables? 

# data[].attributes.body
(Participant-related variables, order effects, placebo effects, experimenter effects, situational variables, non-standardised instructions and procedures, demand characteristics)

# data[].attributes.body
Hypothesis template: It was hypothesised that POPULATION are DIRECTION to DV when IV compared to WITHOUT IV.

# data[].attributes.body
Hypothesis template: It was hypothesised that POPULATION are DIRECTION to DV when IV compared to WITHOUT IV.

# data[].attributes.body
Hypothesis template: It was hypothesised that POPULATION are DIRECTION to DV when IV compared to WITHOUT IV.

# data[].attributes.body
Hypothesis template: It was hypothesised that POPULATION are DIRECTION to DV when IV compared to WITHOUT IV.

# data[].attributes.headline
What is you sample? What is your sampling technique?

# data[].attributes.subject
What is you sample? What is your sampling technique?

# data[].attributes.headline
What is you sample? What is your sampling technique?

# data[].attributes.subject
What is you sample? What is your sampling technique?

# data[].attributes.headline
What is you sample? What is your sampling technique?

# data[].attributes.subject
What is you sample? What is your sampling technique?

# data[].attributes.headline
What is you sample? What is your sampling technique?

# data[].attributes.subject
What is you sample? What is your sampling technique?

# data[].attributes.headline
Which experimental design are you going to use? Why?

# data[].attributes.subject
Which experimental design are you going to use? Why?

# data[].attributes.headline
Which experimental design are you going to use? Why?

# data[].attributes.subject
Which experimental design are you going to use? Why?

# data[].attributes.headline
Which experimental design are you going to use? Why?

# data[].attributes.subject
Which experimental design are you going to use? Why?

# data[].attributes.headline
Which experimental design are you going to use? Why?

# data[].attributes.subject
Which experimental design are you going to use? Why?

# data[].attributes.headline
How are you going to uphold ethical guidelines? 

# data[].attributes.subject
How are you going to uphold ethical guidelines? 

# data[].attributes.headline
How are you going to uphold ethical guidelines? 

# data[].attributes.subject
How are you going to uphold ethical guidelines? 

# data[].attributes.headline
How are you going to uphold ethical guidelines? 

# data[].attributes.subject
How are you going to uphold ethical guidelines? 

# data[].attributes.headline
How are you going to uphold ethical guidelines? 

# data[].attributes.subject
How are you going to uphold ethical guidelines? 