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Regression Analysis
1. Explain the importance of the correlation coefficient in a multiple regression model. Support your The coefficient of d ...
Regression Analysis
1. Explain the importance of the correlation coefficient in a multiple regression model. Support your The coefficient of determination also known as R ...
ANOVA; Quantitative Research
ANOVABob often downloads movies online. Based on his experience, Bob felt that the download speed varied depending on the ...
ANOVA; Quantitative Research
ANOVABob often downloads movies online. Based on his experience, Bob felt that the download speed varied depending on the time of the day. He wanted to test his hunch by downloading one gigabyte of data three different times throughout the day: early (7AM), evening (5 PM), and late evening (12 AM). Use the attached data ("Time of Day and Download Speed") to analyze the Bob's findings.What is the research question?What is the null hypothesis?What is the research hypothesis? (Non-Directional)Basic descriptive analysis of the variables used (e.g., mean, median, SD, range, etc.) in a paragraph form. (Don't just include a number of SPSS tables and not talk about it.)State the rationale for using analysis of variance (ANOVA) in this investigation using appropriate readings and resources in Module 7. (Please cite specific references.)Write out the results in an APA format. (Example here: ANOVA Example.pdf)Please include appropriate tables (as seen in the example above) from the SPSS output used in your analyses.
GCU Grade 3 Augmentative and Alternative Communication Devices Lesson Plan
DETAILS: Complete the following Assignment: 1) Select a 1-5 grade level and NC state standard from the Measurement and ...
GCU Grade 3 Augmentative and Alternative Communication Devices Lesson Plan
DETAILS: Complete the following Assignment: 1) Select a 1-5 grade level and NC state standard from the Measurement and Data domain. 2) Compose an aligning learning target for 3 students who would benefit from the use of augmentative and/or alternative communication devices (see below).Donnie is an African American female who wears hearing Aids. She is on grade level with no IEP/504. Medium support from parents. Internet available at home.Fredrick is a white male who has a Traumatic Brain Injury. He receives Tier 3 RTI services for reading and math because he is 2 grades below his grade level. His parents are very involved, no internet at his home.Wendell is an African American male who has a Learning Disability. He receives Tier 3 RTI services for math because he is 2 grade levels below his grade. He is also 1 grade level below his grade in reading. Medium support for his parents. Internet is available in his home. 3) Complete a lesson plan (See template below) with the small group in mind, that specifies applicable assistive technology and includes differentiated activities to facilitate students making comparisons and uses models of measuring units or measuring instruments for representing or interpreting the data. 4) In addition to your completed lesson plan, rationalize your augmentative and/or alternative communication device choices in a 250-300-word summary. Support your choices with 2-3 scholarly resources.
Critically evaluate the two scenarios you selected, statistics homework help
Critically evaluate the two scenarios you selected based upon the following points:Critically evaluate the sample size.Cri ...
Critically evaluate the two scenarios you selected, statistics homework help
Critically evaluate the two scenarios you selected based upon the following points:Critically evaluate the sample size.Critically evaluate the statements for meaningfulness.Critically evaluate the statements for statistical significance.Based on your evaluation, provide an explanation of the implications for social change.Use proper APA format and citations, and referencing.By Day 7Scenarios
1. The p-value was slightly above conventional threshold, but was described as
“rapidly approaching significance” (i.e., p =.06).
An independent samples t test was used to determine whether student satisfaction
levels in a quantitative reasoning course differed between the traditional classroom
and on-line environments. The samples consisted of students in four face-to-face
classes at a traditional state university (n = 65) and four online classes offered at
the same university (n = 69). Students reported their level of satisfaction on a fivepoint
scale, with higher values indicating higher levels of satisfaction. Since the
study was exploratory in nature, levels of significance were relaxed to the .10 level.
The test was significant t(132) = 1.8, p = .074, wherein students in the face-to-face
class reported lower levels of satisfaction (M = 3.39, SD = 1.8) than did those in the
online sections (M = 3.89, SD = 1.4). We therefore conclude that on average,
students in online quantitative reasoning classes have higher levels of satisfaction.
The results of this study are significant because they provide educators with
evidence of what medium works better in producing quantitatively knowledgeable
practitioners.
2. A results report that does not find any effect and also has small sample size
(possibly no effect detected due to lack of power).
A one-way analysis of variance was used to test whether a relationship exists
between educational attainment and race. The dependent variable of education
was measured as number of years of education completed. The race factor had
three attributes of European American (n = 36), African American (n = 23) and
Hispanic (n = 18). Descriptive statistics indicate that on average, European
Americans have higher levels of education (M = 16.4, SD = 4.6), with African
Americans slightly trailing (M = 15.5, SD = 6.8) and Hispanics having on average
lower levels of educational attainment (M = 13.3, SD = 6.1). The ANOVA was not
significant F (2,74) = 1.789, p = .175, indicating there are no differences in
educational attainment across these three races in the population. The results of
this study are significant because they shed light on the current social conversation
about inequality.
3. Statistical significance is found in a study, but the effect in reality is very small (i.e.,
there was a very minor difference in attitude between men and women). Were the
results meaningful?
An independent samples t test was conducted to determine whether differences
exist between men and women on cultural competency scores. The samples
consisted of 663 women and 650 men taken from a convenience sample of public,
private, and non-profit organizations. Each participant was administered an
instrument that measured his or her current levels of cultural competency. The
© 2016 Laureate Education, Inc. Page 2 of 2
cultural competency score ranges from 0 to 10, with higher scores indicating higher
levels of cultural competency. The descriptive statistics indicate women have
higher levels of cultural competency (M = 9.2, SD = 3.2) than men (M = 8.9, SD =
2.1). The results were significant t (1311) = 2.0, p <.05, indicating that women are
more culturally competent than are men. These results tell us that gender-specific
interventions targeted toward men may assist in bolstering cultural competency.
4. A study has results that seem fine, but there is no clear association to social
change. What is missing?
A correlation test was conducted to determine whether a relationship exists
between level of income and job satisfaction. The sample consisted of 432
employees equally represented across public, private, and non-profit sectors. The
results of the test demonstrate a strong positive correlation between the two
variables, r =.87, p < .01, showing that as level of income increases, job
satisfaction increases as well.
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Most Popular Content
2 pages
Regression Analysis
1. Explain the importance of the correlation coefficient in a multiple regression model. Support your The coefficient of d ...
Regression Analysis
1. Explain the importance of the correlation coefficient in a multiple regression model. Support your The coefficient of determination also known as R ...
ANOVA; Quantitative Research
ANOVABob often downloads movies online. Based on his experience, Bob felt that the download speed varied depending on the ...
ANOVA; Quantitative Research
ANOVABob often downloads movies online. Based on his experience, Bob felt that the download speed varied depending on the time of the day. He wanted to test his hunch by downloading one gigabyte of data three different times throughout the day: early (7AM), evening (5 PM), and late evening (12 AM). Use the attached data ("Time of Day and Download Speed") to analyze the Bob's findings.What is the research question?What is the null hypothesis?What is the research hypothesis? (Non-Directional)Basic descriptive analysis of the variables used (e.g., mean, median, SD, range, etc.) in a paragraph form. (Don't just include a number of SPSS tables and not talk about it.)State the rationale for using analysis of variance (ANOVA) in this investigation using appropriate readings and resources in Module 7. (Please cite specific references.)Write out the results in an APA format. (Example here: ANOVA Example.pdf)Please include appropriate tables (as seen in the example above) from the SPSS output used in your analyses.
GCU Grade 3 Augmentative and Alternative Communication Devices Lesson Plan
DETAILS: Complete the following Assignment: 1) Select a 1-5 grade level and NC state standard from the Measurement and ...
GCU Grade 3 Augmentative and Alternative Communication Devices Lesson Plan
DETAILS: Complete the following Assignment: 1) Select a 1-5 grade level and NC state standard from the Measurement and Data domain. 2) Compose an aligning learning target for 3 students who would benefit from the use of augmentative and/or alternative communication devices (see below).Donnie is an African American female who wears hearing Aids. She is on grade level with no IEP/504. Medium support from parents. Internet available at home.Fredrick is a white male who has a Traumatic Brain Injury. He receives Tier 3 RTI services for reading and math because he is 2 grades below his grade level. His parents are very involved, no internet at his home.Wendell is an African American male who has a Learning Disability. He receives Tier 3 RTI services for math because he is 2 grade levels below his grade. He is also 1 grade level below his grade in reading. Medium support for his parents. Internet is available in his home. 3) Complete a lesson plan (See template below) with the small group in mind, that specifies applicable assistive technology and includes differentiated activities to facilitate students making comparisons and uses models of measuring units or measuring instruments for representing or interpreting the data. 4) In addition to your completed lesson plan, rationalize your augmentative and/or alternative communication device choices in a 250-300-word summary. Support your choices with 2-3 scholarly resources.
Critically evaluate the two scenarios you selected, statistics homework help
Critically evaluate the two scenarios you selected based upon the following points:Critically evaluate the sample size.Cri ...
Critically evaluate the two scenarios you selected, statistics homework help
Critically evaluate the two scenarios you selected based upon the following points:Critically evaluate the sample size.Critically evaluate the statements for meaningfulness.Critically evaluate the statements for statistical significance.Based on your evaluation, provide an explanation of the implications for social change.Use proper APA format and citations, and referencing.By Day 7Scenarios
1. The p-value was slightly above conventional threshold, but was described as
“rapidly approaching significance” (i.e., p =.06).
An independent samples t test was used to determine whether student satisfaction
levels in a quantitative reasoning course differed between the traditional classroom
and on-line environments. The samples consisted of students in four face-to-face
classes at a traditional state university (n = 65) and four online classes offered at
the same university (n = 69). Students reported their level of satisfaction on a fivepoint
scale, with higher values indicating higher levels of satisfaction. Since the
study was exploratory in nature, levels of significance were relaxed to the .10 level.
The test was significant t(132) = 1.8, p = .074, wherein students in the face-to-face
class reported lower levels of satisfaction (M = 3.39, SD = 1.8) than did those in the
online sections (M = 3.89, SD = 1.4). We therefore conclude that on average,
students in online quantitative reasoning classes have higher levels of satisfaction.
The results of this study are significant because they provide educators with
evidence of what medium works better in producing quantitatively knowledgeable
practitioners.
2. A results report that does not find any effect and also has small sample size
(possibly no effect detected due to lack of power).
A one-way analysis of variance was used to test whether a relationship exists
between educational attainment and race. The dependent variable of education
was measured as number of years of education completed. The race factor had
three attributes of European American (n = 36), African American (n = 23) and
Hispanic (n = 18). Descriptive statistics indicate that on average, European
Americans have higher levels of education (M = 16.4, SD = 4.6), with African
Americans slightly trailing (M = 15.5, SD = 6.8) and Hispanics having on average
lower levels of educational attainment (M = 13.3, SD = 6.1). The ANOVA was not
significant F (2,74) = 1.789, p = .175, indicating there are no differences in
educational attainment across these three races in the population. The results of
this study are significant because they shed light on the current social conversation
about inequality.
3. Statistical significance is found in a study, but the effect in reality is very small (i.e.,
there was a very minor difference in attitude between men and women). Were the
results meaningful?
An independent samples t test was conducted to determine whether differences
exist between men and women on cultural competency scores. The samples
consisted of 663 women and 650 men taken from a convenience sample of public,
private, and non-profit organizations. Each participant was administered an
instrument that measured his or her current levels of cultural competency. The
© 2016 Laureate Education, Inc. Page 2 of 2
cultural competency score ranges from 0 to 10, with higher scores indicating higher
levels of cultural competency. The descriptive statistics indicate women have
higher levels of cultural competency (M = 9.2, SD = 3.2) than men (M = 8.9, SD =
2.1). The results were significant t (1311) = 2.0, p <.05, indicating that women are
more culturally competent than are men. These results tell us that gender-specific
interventions targeted toward men may assist in bolstering cultural competency.
4. A study has results that seem fine, but there is no clear association to social
change. What is missing?
A correlation test was conducted to determine whether a relationship exists
between level of income and job satisfaction. The sample consisted of 432
employees equally represented across public, private, and non-profit sectors. The
results of the test demonstrate a strong positive correlation between the two
variables, r =.87, p < .01, showing that as level of income increases, job
satisfaction increases as well.
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