logging in or signing up research designsX headlessprofessor Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINT lite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: Embed: Flash iPad Dynamic Copy Does not support media & animations Automatically changes to Flash or non-Flash embed WordPress Embed Customize Embed URL: Copy Thumbnail: Copy The presentation is successfully added In Your Favorites. Views: 561 Category: Education License: All Rights Reserved Like it (1) Dislike it (0) Added: September 03, 2008 This Presentation is Public Favorites: 0 Presentation Description Research designs for the social science surveys and experiments: one sample, separate groups, repeated measures, correlational. Comments Posting comment... Premium member Presentation Transcript Research designs : Research designs headlessprofessor Objective : Objective Describe the logic of science Purpose of Science : Purpose of Science Understand Purpose of Science : Purpose of Science Understand Predict Purpose of Science : Purpose of Science Understand Predict Control Logic of science : Logic of science Example : Example Marriage helps increase your happiness. Hypothesis : Hypothesis A prediction as to the results you expect to find Hypothesis = a prediction which guides research : Hypothesis = a prediction which guides research (hypotheses are generated by theories, but are testable by data) Population = entire class of subjects studied : Population = entire class of subjects studied Sample = those subjects actually observed : Sample = those subjects actually observed Should be large and representative of the population Group : Group A subsample Group : Group A subsample Determined by background factors Group : Group A subsample Determined by background factors Assigned in experiments Research Design #1 : Research Design #1 Sample vs. Norms Representative Sample : Representative Sample One that does not over-represent or under-represent any particular segment within the population Representative Sample : Representative Sample Does not over-represent or under-represent any particular segment within the population The proportion of sub-samples (groups) in the sample should match the proportion of these segments of the population Hypothesis : Hypothesis Married people should be happier than average. Confounding variables : Confounding variables Anything leading to sampling bias Confounding variables : Confounding variables Anything leading to sampling bias Geography Confounding variables : Confounding variables Anything leading to sampling bias Geography Elapsed time Research Design #2 : Research Design #2 Separate groups Experiments manipulate an independent variable : Experiments manipulate an independent variable Separate groups (subjects are randomly assigned and then treated differently): between subjects comparison on DV Separate groups design : Separate groups design A placebo helps control patient expectations : A placebo helps control patient expectations New med is given to experimental group Placebo is given to control group Pills taste the same Patients do not know which is which Researchers measuring DV do not know until after data are collected Hypothesis : Hypothesis Married people should be happier than unmarried people. Confounding variables : Confounding variables Anything influencing grouping Confounding variables : Confounding variables Maybe happy people are more likely to find spouses Confounding variables : Confounding variables Maybe happy people are less likely to get divorced Research Design #3 : Research Design #3 Repeated measures Experiments manipulate an independent variable : Experiments manipulate an independent variable Separate groups (subjects are randomly assigned and then treated differently): between subjects comparison on DV Repeated measures (entire sample is measured on DV before and after the treatment): within subjects comparison Repeated measures design : Repeated measures design Problems with repeated measures experiments : Problems with repeated measures experiments Fatigue & boredom effect Practice effect Natural course of a disorder Attrition of subjects changes the sample Hypothesis : Hypothesis People should be happier after marriage than before. Confounding variables : Confounding variables Maturation Confounding variables : Confounding variables Maturation Change in wealth Confounding variables : Confounding variables Maturation Change in wealth Historical periods Research Design #4 : Research Design #4 correlational Hypothesis : Hypothesis People who have been married longer should be happier. Confounding variables : Confounding variables Age Confounding variables : Confounding variables Age Cohort Research designs : Research designs headlessprofessor You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.
research designsX headlessprofessor Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINT lite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: Embed: Flash iPad Dynamic Copy Does not support media & animations Automatically changes to Flash or non-Flash embed WordPress Embed Customize Embed URL: Copy Thumbnail: Copy The presentation is successfully added In Your Favorites. Views: 561 Category: Education License: All Rights Reserved Like it (1) Dislike it (0) Added: September 03, 2008 This Presentation is Public Favorites: 0 Presentation Description Research designs for the social science surveys and experiments: one sample, separate groups, repeated measures, correlational. Comments Posting comment... Premium member Presentation Transcript Research designs : Research designs headlessprofessor Objective : Objective Describe the logic of science Purpose of Science : Purpose of Science Understand Purpose of Science : Purpose of Science Understand Predict Purpose of Science : Purpose of Science Understand Predict Control Logic of science : Logic of science Example : Example Marriage helps increase your happiness. Hypothesis : Hypothesis A prediction as to the results you expect to find Hypothesis = a prediction which guides research : Hypothesis = a prediction which guides research (hypotheses are generated by theories, but are testable by data) Population = entire class of subjects studied : Population = entire class of subjects studied Sample = those subjects actually observed : Sample = those subjects actually observed Should be large and representative of the population Group : Group A subsample Group : Group A subsample Determined by background factors Group : Group A subsample Determined by background factors Assigned in experiments Research Design #1 : Research Design #1 Sample vs. Norms Representative Sample : Representative Sample One that does not over-represent or under-represent any particular segment within the population Representative Sample : Representative Sample Does not over-represent or under-represent any particular segment within the population The proportion of sub-samples (groups) in the sample should match the proportion of these segments of the population Hypothesis : Hypothesis Married people should be happier than average. Confounding variables : Confounding variables Anything leading to sampling bias Confounding variables : Confounding variables Anything leading to sampling bias Geography Confounding variables : Confounding variables Anything leading to sampling bias Geography Elapsed time Research Design #2 : Research Design #2 Separate groups Experiments manipulate an independent variable : Experiments manipulate an independent variable Separate groups (subjects are randomly assigned and then treated differently): between subjects comparison on DV Separate groups design : Separate groups design A placebo helps control patient expectations : A placebo helps control patient expectations New med is given to experimental group Placebo is given to control group Pills taste the same Patients do not know which is which Researchers measuring DV do not know until after data are collected Hypothesis : Hypothesis Married people should be happier than unmarried people. Confounding variables : Confounding variables Anything influencing grouping Confounding variables : Confounding variables Maybe happy people are more likely to find spouses Confounding variables : Confounding variables Maybe happy people are less likely to get divorced Research Design #3 : Research Design #3 Repeated measures Experiments manipulate an independent variable : Experiments manipulate an independent variable Separate groups (subjects are randomly assigned and then treated differently): between subjects comparison on DV Repeated measures (entire sample is measured on DV before and after the treatment): within subjects comparison Repeated measures design : Repeated measures design Problems with repeated measures experiments : Problems with repeated measures experiments Fatigue & boredom effect Practice effect Natural course of a disorder Attrition of subjects changes the sample Hypothesis : Hypothesis People should be happier after marriage than before. Confounding variables : Confounding variables Maturation Confounding variables : Confounding variables Maturation Change in wealth Confounding variables : Confounding variables Maturation Change in wealth Historical periods Research Design #4 : Research Design #4 correlational Hypothesis : Hypothesis People who have been married longer should be happier. Confounding variables : Confounding variables Age Confounding variables : Confounding variables Age Cohort Research designs : Research designs headlessprofessor