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Walden University Multiple Regression and Self Efficacy X1SCIEFF Paper
Review this week’s Learning Resources and media program related to multiple regression.Create a research question using ...
Walden University Multiple Regression and Self Efficacy X1SCIEFF Paper
Review this week’s Learning Resources and media program related to multiple regression.Create a research question using the Afrobarometer Dataset or the HS Long Survey Dataset, that can be answered by multiple regression. By Day 3 Use SPSS to answer the research question. Post your response to the following: If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). If you are using the HS Long Survey Dataset, report the mean of X1SES.What is your research question?What is the null hypothesis for your question?What research design would align with this question?What dependent variable was used and how is it measured?What independent variables are used and how are they measured? What is the justification for including these predictor variables?If you found significance, what is the strength of the effect?Explain your results for a lay audience, explain what the answer to your research question. Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style. Use the General Social Survey data set and construct a research question that can be answered using multiple regression. To do this you will need to selectthreevariables that are measured on aninterval or ratio level. In SPSS they will be listed asscaledata in the variable view. Select two IVs (AKA predictor variables) that could be used to predict the value of the DV (AKA, criterion variable or outcome variable). For example, the length and the weight of a car (predictor variables) could be used to predict its miles per gallon (outcome variable). Use an alpha level of .05 for these analyses. In this week’s video example, 3 variables were selected from the GSS data set. Note that our data set has been edited and is not exactly the same as theirs. You can follow along and you should get similar results, but you will not get exactly the same values. That is OK, remember, we have a revised data set that is a little different than the one used for the video example. Here are the variables used in the example: DV = sei10, R's socioeconomic index (2010) IV 1 = prestg10, Rs occupational prestige score (2010) IV 2 = educ, HIGHEST YEAR OF SCHOOL COMPLETED Do Not use these variables for your discussion or application assignment for multiple regression. Reading the Output & Reporting Results Model Summary The overall Model Summary shows the R, R Square, and Adjusted R Square. In my experience, we typically report the R Square value. Yet our video recommends reporting theAdjusted R square. For this example, R square and Adjusted R square are the same,R2= .787. However, sometimes they will be different. Because we have conflicting information, you may report either. However, clearly state whether you are reporting R square or the adjusted R square. NOTES: - all three variables should be interval or ratio variables. They should be listed as scale variables in your data set - the variable you wish to predict should be entered as the DV - leave the Method as “Enter”, this is referred to as a standard regression and it enters all of the IVs at the same time, whether or not they are significantly related to the DV - select Only 2 IVs for the discussion and assignments for multiple regression. You should address all of the following: -State your research question - State your null hypothesis - Describe your outcome variable (DV) and how it was measured. - Describe the predictor variables (IVs) and how they were measured. (Select 2 and only 2 IVs) - explain whether one IV was a control and if so, why - explain the rationale for selecting IVs - clearly identify the name of the variables as they appear in the data set - Indicate whether the overall model was significant or not, explain how you know - indicate whether each of your two predictors were significant or not, explain how you know - report the results of your multiple regression analysis in APA format, interpret the effect size usingRsquare (see pp. 440 – 441, and p. 450 in your text and my example below) - ensure you clearly explain whether the variables are significant predictors or not and state the regression equation for for your results (use my example above as a guide). - Discuss implications for positive social change -do not use sei10, educ, and prestg10 as your variables!
4 pages
Worksheet 6 1
For the following sample sizes, please write the critical t-score for a two-tailed test with a pvalue of .05 For the foll ...
Worksheet 6 1
For the following sample sizes, please write the critical t-score for a two-tailed test with a pvalue of .05 For the following t-scores, please write ...
DAT 565 University of Phoenix Smart Shopping Cart Developer Company Report
PurposeMBA Business Plan componentContextOne of the most important elements in a business plan is the market analysis. A m ...
DAT 565 University of Phoenix Smart Shopping Cart Developer Company Report
PurposeMBA Business Plan componentContextOne of the most important elements in a business plan is the market analysis. A market analysis is a qualitative and quantitative assessment of a market. It includes data collection and estimation in reference to the market size and value, characteristics of the intended customer base, in-depth evaluation of the competition, barriers to entry, and the regulatory environment. An accurate and detailed market analysis allows entrepreneurs to determine whether the market is sufficiently large to build a sustainable, profitable business. In this assignment, you will complete a market analysis for your proposed organization and create a report that can be included within a business plan.InstructionsWrite a 525-word report that includes the following sections:Section 1: Business overview, mission, and visionSection 2: A Market analysis that includes the following components:Market overview/needs analysisTarget marketCompetitive analysisValue propositionSection 3: RecommendationUse the Market Analysis Research document for details on what to include in each section.Cite references to support your assignment.Format your citations according to APA guidelines.
Walden University Week 11 Use of the Chi Squared Test Statistic Discussion Paper
For this Assignment, you will consider three different scenarios. Each of these scenarios include a research question. You ...
Walden University Week 11 Use of the Chi Squared Test Statistic Discussion Paper
For this Assignment, you will consider three different scenarios. Each of these scenarios include a research question. You will examine each scenario, choose a categorical data analysis and run a sample test. To prepare for this Assignment: Review Chapters 10 and 11 of the Frankfort-Nachmias & Leon-Guerrero course text and the media program found in this week’s Learning Resources related to bivariate categorical tests. Using the SPSS software, open the Afrobarometer dataset found in this week’s Learning Resources. Next, review the Chi Square Scenarios found in this week’s Learning Resources and consider each research scenario for this Assignment. Based on the dataset you chose and for each research scenario provided, using the SPSS software, choose a categorical data analysis and run a sample test. Once you perform your categorical data analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document. For this Assignment: Write a 1- to 2-paragraph analysis of your categorical data results for each research scenario. If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be. Use proper APA format, citations, and referencing for your analysis, research question, and display of output. Learning Resources Required Readings Wagner, III, W. E. (2020). Using IBM® SPSS® statistics for research methods and social science statistics (7th ed.). Thousand Oaks, CA: Sage Publications. Chapter 7, "Cross-Tabulation and Measures of Association for Nominal and Ordinal Variables"Chapter 11, "Editing Output" (previously read in Week 2, 3, 4, 5. 6, 7, and 8) Frankfort-Nachmias, C., Leon-Guerrero, A., & Davis, G. (2020). Social statistics for a diverse society (9th ed.). Thousand Oaks, CA: Sage Publications. Chapter 9, “Bivariate Tables” (pp. 281-325)Chapter 10, “The Chi-Square Test and Measures of Association” (pp. 327-373) Document: Chi Square Scenarios (PDF) Use these scenarios to complete your Assignment for this week. Required Media Laureate Education (Producer). (2016a). Bivariate categorical tests [Video file]. Baltimore, MD: Author. Note: The approximate length of this media piece is 5 minutes. In this media program, Dr. Matt Jones demonstrates bivariate categorical tests using the SPSS software. Accessible player --Downloads-- Download Video w/CC Download Audio Download Transcript Optional Resources Klingenberg, B. (2016). The Chi-squared test. Retrieved from https://istats.shinyapps.io/ChiSquaredTest/ Use the following app/weblink to enter your own data and obtain an interactive visual display.
7 pages
Research Scenarios Answers
For the scenario, the research question of interest was; “Is there a relationship between trust in the police and presen ...
Research Scenarios Answers
For the scenario, the research question of interest was; “Is there a relationship between trust in the police and presence of democracy?”. The ...
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Walden University Multiple Regression and Self Efficacy X1SCIEFF Paper
Review this week’s Learning Resources and media program related to multiple regression.Create a research question using ...
Walden University Multiple Regression and Self Efficacy X1SCIEFF Paper
Review this week’s Learning Resources and media program related to multiple regression.Create a research question using the Afrobarometer Dataset or the HS Long Survey Dataset, that can be answered by multiple regression. By Day 3 Use SPSS to answer the research question. Post your response to the following: If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). If you are using the HS Long Survey Dataset, report the mean of X1SES.What is your research question?What is the null hypothesis for your question?What research design would align with this question?What dependent variable was used and how is it measured?What independent variables are used and how are they measured? What is the justification for including these predictor variables?If you found significance, what is the strength of the effect?Explain your results for a lay audience, explain what the answer to your research question. Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style. Use the General Social Survey data set and construct a research question that can be answered using multiple regression. To do this you will need to selectthreevariables that are measured on aninterval or ratio level. In SPSS they will be listed asscaledata in the variable view. Select two IVs (AKA predictor variables) that could be used to predict the value of the DV (AKA, criterion variable or outcome variable). For example, the length and the weight of a car (predictor variables) could be used to predict its miles per gallon (outcome variable). Use an alpha level of .05 for these analyses. In this week’s video example, 3 variables were selected from the GSS data set. Note that our data set has been edited and is not exactly the same as theirs. You can follow along and you should get similar results, but you will not get exactly the same values. That is OK, remember, we have a revised data set that is a little different than the one used for the video example. Here are the variables used in the example: DV = sei10, R's socioeconomic index (2010) IV 1 = prestg10, Rs occupational prestige score (2010) IV 2 = educ, HIGHEST YEAR OF SCHOOL COMPLETED Do Not use these variables for your discussion or application assignment for multiple regression. Reading the Output & Reporting Results Model Summary The overall Model Summary shows the R, R Square, and Adjusted R Square. In my experience, we typically report the R Square value. Yet our video recommends reporting theAdjusted R square. For this example, R square and Adjusted R square are the same,R2= .787. However, sometimes they will be different. Because we have conflicting information, you may report either. However, clearly state whether you are reporting R square or the adjusted R square. NOTES: - all three variables should be interval or ratio variables. They should be listed as scale variables in your data set - the variable you wish to predict should be entered as the DV - leave the Method as “Enter”, this is referred to as a standard regression and it enters all of the IVs at the same time, whether or not they are significantly related to the DV - select Only 2 IVs for the discussion and assignments for multiple regression. You should address all of the following: -State your research question - State your null hypothesis - Describe your outcome variable (DV) and how it was measured. - Describe the predictor variables (IVs) and how they were measured. (Select 2 and only 2 IVs) - explain whether one IV was a control and if so, why - explain the rationale for selecting IVs - clearly identify the name of the variables as they appear in the data set - Indicate whether the overall model was significant or not, explain how you know - indicate whether each of your two predictors were significant or not, explain how you know - report the results of your multiple regression analysis in APA format, interpret the effect size usingRsquare (see pp. 440 – 441, and p. 450 in your text and my example below) - ensure you clearly explain whether the variables are significant predictors or not and state the regression equation for for your results (use my example above as a guide). - Discuss implications for positive social change -do not use sei10, educ, and prestg10 as your variables!
4 pages
Worksheet 6 1
For the following sample sizes, please write the critical t-score for a two-tailed test with a pvalue of .05 For the foll ...
Worksheet 6 1
For the following sample sizes, please write the critical t-score for a two-tailed test with a pvalue of .05 For the following t-scores, please write ...
DAT 565 University of Phoenix Smart Shopping Cart Developer Company Report
PurposeMBA Business Plan componentContextOne of the most important elements in a business plan is the market analysis. A m ...
DAT 565 University of Phoenix Smart Shopping Cart Developer Company Report
PurposeMBA Business Plan componentContextOne of the most important elements in a business plan is the market analysis. A market analysis is a qualitative and quantitative assessment of a market. It includes data collection and estimation in reference to the market size and value, characteristics of the intended customer base, in-depth evaluation of the competition, barriers to entry, and the regulatory environment. An accurate and detailed market analysis allows entrepreneurs to determine whether the market is sufficiently large to build a sustainable, profitable business. In this assignment, you will complete a market analysis for your proposed organization and create a report that can be included within a business plan.InstructionsWrite a 525-word report that includes the following sections:Section 1: Business overview, mission, and visionSection 2: A Market analysis that includes the following components:Market overview/needs analysisTarget marketCompetitive analysisValue propositionSection 3: RecommendationUse the Market Analysis Research document for details on what to include in each section.Cite references to support your assignment.Format your citations according to APA guidelines.
Walden University Week 11 Use of the Chi Squared Test Statistic Discussion Paper
For this Assignment, you will consider three different scenarios. Each of these scenarios include a research question. You ...
Walden University Week 11 Use of the Chi Squared Test Statistic Discussion Paper
For this Assignment, you will consider three different scenarios. Each of these scenarios include a research question. You will examine each scenario, choose a categorical data analysis and run a sample test. To prepare for this Assignment: Review Chapters 10 and 11 of the Frankfort-Nachmias & Leon-Guerrero course text and the media program found in this week’s Learning Resources related to bivariate categorical tests. Using the SPSS software, open the Afrobarometer dataset found in this week’s Learning Resources. Next, review the Chi Square Scenarios found in this week’s Learning Resources and consider each research scenario for this Assignment. Based on the dataset you chose and for each research scenario provided, using the SPSS software, choose a categorical data analysis and run a sample test. Once you perform your categorical data analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document. For this Assignment: Write a 1- to 2-paragraph analysis of your categorical data results for each research scenario. If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be. Use proper APA format, citations, and referencing for your analysis, research question, and display of output. Learning Resources Required Readings Wagner, III, W. E. (2020). Using IBM® SPSS® statistics for research methods and social science statistics (7th ed.). Thousand Oaks, CA: Sage Publications. Chapter 7, "Cross-Tabulation and Measures of Association for Nominal and Ordinal Variables"Chapter 11, "Editing Output" (previously read in Week 2, 3, 4, 5. 6, 7, and 8) Frankfort-Nachmias, C., Leon-Guerrero, A., & Davis, G. (2020). Social statistics for a diverse society (9th ed.). Thousand Oaks, CA: Sage Publications. Chapter 9, “Bivariate Tables” (pp. 281-325)Chapter 10, “The Chi-Square Test and Measures of Association” (pp. 327-373) Document: Chi Square Scenarios (PDF) Use these scenarios to complete your Assignment for this week. Required Media Laureate Education (Producer). (2016a). Bivariate categorical tests [Video file]. Baltimore, MD: Author. Note: The approximate length of this media piece is 5 minutes. In this media program, Dr. Matt Jones demonstrates bivariate categorical tests using the SPSS software. Accessible player --Downloads-- Download Video w/CC Download Audio Download Transcript Optional Resources Klingenberg, B. (2016). The Chi-squared test. Retrieved from https://istats.shinyapps.io/ChiSquaredTest/ Use the following app/weblink to enter your own data and obtain an interactive visual display.
7 pages
Research Scenarios Answers
For the scenario, the research question of interest was; “Is there a relationship between trust in the police and presen ...
Research Scenarios Answers
For the scenario, the research question of interest was; “Is there a relationship between trust in the police and presence of democracy?”. The ...
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