Download
1 / 18
180 likes | 263 Views
This study aims to explore how a specific factor affects treatment response, focusing on the design, methods, and data analysis. The objective is to demonstrate how this factor influences treatment outcomes. The research will involve questioning, predicting, and analyzing data to draw conclusions. Experimental variables such as genetics, psychology, and animal behavior will be considered, with experiments potentially conducted in laboratory or field settings. The study will address trade-offs between control and realism, replication, complexity, and sample size considerations. Attention will be given to refining research objectives, determining treatments and responses, and selecting appropriate data analysis methods based on the nature and number of treatments involved.
E N D
Scientific ProcessMETHODS Question to Experimental Design to Data Analysis
Question I will examine if ….. I predict ………. The objective of this study is to show … ********** affects *********** this way treatment response
Question I will examine if ….. I predict ………. The objective of this study is to show … ********** affects *********** this way treatment response Determines how to organize the experiment Determines what to measure
Experimental Context genetics psychology animal behavior virology disease ecology sociology education astronomy chemistry physics
Experimental Context genetics psychology animal behavior virology disease ecology sociology education astronomy chemistry physics LABORATORY FIELD
Experimental Context genetics psychology animal behavior virology disease ecology sociology education astronomy chemistry physics LABORATORY more control FIELD more realistic
Experimental Context genetics psychology animal behavior virology disease ecology sociology education astronomy chemistry physics LABORATORY more control FIELD more realistic human subject more realistic animal model more control
EXPEIMENTAL TRADE-OFFS • generality versus confidence • realism versus control • replication versus cost • complexity versus control and cost
Experimental Design • Control • Random sampling • Replication • Sample size
Experimental Design • Control • provide a comparison • Random sampling • Replication • Sample size
Experimental Design • Control • provide a comparison • Random sampling • avoid bias • representative sample • Replication • Sample size
Experimental Design • Control • provide a comparison • Random sampling • avoid bias • representative sample • Replication • control for unknown variables • quantify variance • Sample size
Experimental Design • Control • provide a comparison • Random sampling • avoid bias • representative sample • Replication • control for unknown variables • quantify variance • Sample size • increase power
Refine the research objective • Determine Treatment(s) • one treatments with control • multiple treatments‘ with control • gradient of treatments with control
Refine the research objective • Determine Treatment(s) • one treatments with control • multiple treatments' with control • gradient of treatments with control • Determine Response(s) • number of responses • measured versus counts • what the data will ‘look’ like
Refine the research objective • Determine Treatment(s) • one treatments with control • multiple treatments' with control • gradient of treatments with control • Determine Response(s) • number of responses • measured versus counts • what the data will ‘look’ like • Determine Appropriate Analysis • number of treatments • nature of the data • question asked
