Topic_3_Multivariate_Approaches_(Obj

how is the statment a good example of why qualitative methodologie is more valuable in advancing cross-cultural research? I think qualitative methodologies are very valuable in advancing cross-cultural research. Qualitative methodologies are used in cross-cultural research by cultural anthropologist for what are called ethnographies. Ethnographies involve observation and field-work within the cultural context and require descriptive qualitative analysis. Some of the advantages of studies involving two or three countries compared to studies that involve ten or more countries are a more concentrated and have a smaller study group. Another advantage is being able to report various cultural variables as it relates to the study and qualitative data. A few disadvantages of studies involving two or three countries compared to involving ten or more countries are the potential for inaccurate results if it does not include the entire population. Another disadvantage of three countries in a study…

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Question The question is the bottom of the page. See the figure attached to this question. Scenario 9.1 is based on and presents results consistent with the following studies: Snedeker, J., Geren, J., & Shafto, C. L. (2012). Disentangling the effects of cognitive development and linguistic expertise: A longitudinal study of the acquisition of English in internationally-adopted children. Cognitive Psychology, 65(1), 39–76. doi:10.1016/j.cogpsych.2012.01.004 Snedeker, J., Geren, J., & Shafto, C. L. (2007). Starting over: International adoption as a natural experiment in language development. Psychological Science, 18(1), 79–87. doi:10.1111/j.1467-9280.2007.01852.x Language development occurs in orderly stages, beginning with one-word utterances and progressing to two-word utterances, simple sentences containing function morphemes, and the emergence of grammatical rules. Psycholinguists have attempted to determine if language development is a consequence of cognitive development…

Study Questions • Determine if the given problem is a cohort study. If the study is a cohort, identify if the design is prospective or retrospective. · Also, identify the exposure variable and the outcome variable. . If data is provided, perform simple analysis on the data and interpret the results. . If the study is not a cohort, justify it by identifying and describing the key points why it is not a cohort study. A group cooperative in City A is a consumer-owned cooperative founded in 1945. In 1978, study was done wherein women who were aged 50-64 at the time of the study were identified. 8 women were excluded from the study because of a prior history of breast cancer. Their use of conjugated estrogens was obtained using computerized prescription records. From 1978 to 1984, women hospitalized with pathologic diagnosis of fibrocystic breast disease were identified. Estrogen use # with fibrocystic breast disease # without fibrocystic breast disease Users 108 5 Non-users 34

Light and exam performance. A study is designed to test the effect of light level on exam performance of students. The researcher believes that light levels might have different effects on males and females, so wants to make sure both are equally represented in each treatment. The treatments are fluorescent overhead lighting, yellow overhead lighting, no overhead lighting (only desk lamps). What is the response variable?  What is the explanatory variable?  What are its levels?  What is the blocking variable? What are its levels?

Cognitive Factors affecting the Learning Retention of Grade 12 students in Online Distance Approach. What is the dependent Variable?

Absenteeism:  Absenteeism can be a serious employment problem.  It is estimated that absenteeism reduces potential output by more than 10%.  Two economists launched a research project to learn more about the problem.  They randomly selected 100 organizations to participate in a 1-year study.  For each organization, they recorded the average number of days absent per employee and several variables thought to affect absenteeism. Management’s goal here is to analyze the data and determine which factors may be helpful in predicting absenteeism. Now let us build a model to predict absenteeism based on key independent variables available in this dataset; wage, PctPT, PctU, Av Shift and U/MRel The following down below is the correlation matrix between absenteeism and potential independent variables. Why are the variables AvShift and U/MRel excluded from this correlation matrix?  Which variable in the matrix is likely to provide the best simple linear regression model and why? Does the…

Absenteeism:  Absenteeism can be a serious employment problem.  It is estimated that absenteeism reduces potential output by more than 10%.  Two economists launched a research project to learn more about the problem.  They randomly selected 100 organizations to participate in a 1-year study.  For each organization, they recorded the average number of days absent per employee and several variables thought to affect absenteeism. Management’s goal here is to analyze the data and determine which factors may be helpful in predicting absenteeism. Perform a two-sample t-test analysis to determine if mean absenteeism is different between organizations which have a good Union management and those that do not. I have provided the F-test for two variances below: Copy and paste the Two sample t-test output below AND provide a clear conclusion supported by key statistics in the output about how absenteeism is affected by the Union Management Relationship. (I just need to know how to perform the two…

Absenteeism:  Absenteeism can be a serious employment problem.  It is estimated that absenteeism reduces potential output by more than 10%.  Two economists launched a research project to learn more about the problem.  They randomly selected 100 organizations to participate in a 1-year study.  For each organization, they recorded the average number of days absent per employee and several variables thought to affect absenteeism. Management’s goal here is to analyze the data and determine which factors may be helpful in predicting absenteeism. Now let us build a model to predict absenteeism based on key independent variables available in this dataset; wage, PctPT, PctU, Av Shift and U/MRel. Correlation matrix is provided below. Why are the variables AvShift and U/MRel excluded from this correlation matrix?  Which variable in the matrix is likely to provide the best simple linear regression model and why? Does the correlation matrix show any evidence of collinearity? Explain.    Data:…

Can you please answer all of the questions about the information provided.  Background Previous studies have demonstrated the short-term efficacy of pharmacotherapy and behavior therapy for attention-deficit/hyperactivity disorder (ADHD), but no longer-term (ie, >4 months) investigations have compared these 2 treatments or their combination. A 1999 study conducted by MTA Cooperative Group conducted a multisite study designed to evaluate the leading treatments for ADHD.  The Study A group of 425 children with ADHD Combined Type, aged 7 to 11 years, were assigned to 14 months of medication management (titration followed by monthly visits); intensive behavioral treatment (parent, school, and child components, with therapist involvement, gradually reduced over time); or the two combined. Outcomes were assessed in multiple domains before and during treatment and at the treatment endpoint (with the combined treatment and medication management groups continuing medication at all assessment…

Case study The board of a large Australian investment bank of 7,200 employees (1,800 females and 5,400 males) has received media criticism over its poor record on employee work-life balance. It is looking to implement a range of workforce strategies and wants to survey its employee base to see how that might best improve. The company is headquartered in Melbourne, with equally-sized offices in Sydney, Brisbane and Perth. Some variables of interest in the proposed survey include: Variable Department ID Age Number of dependants Desire to work-from-home (WFH) preference Description Randomly generated 5-digit number for each of the company's 42 departments, which also identifies the department's location In years Scale from 'Highly undesirable' to 'Highly desirable' a) For each of the variables mentioned in the table above, determine whether they are nominal, ordinal or quantitative. Furthermore, for variables that are quantitative, also determine if the variable is likely to be discrete…

variables and hypothesis section: The article reviews various aspects of network analysis and probabilistic inference to understand the complexities and dynamics of network analysis. It utilizes data from clinical education on diabetic foot and online social network software to analyze the relationships between network participants and the patterns related to their networking behavior. The data explored involve clinical education on diabetic foot and online and social network software for research. The variables being analyzed are the relationships between the network participants, as well as the patterns related to the networking behaviors. The hypotheses tested in the article are related to examining the effect of different forms of networks on the efficacy of clinical education, as well as the impact of online network relationships among people. The outcomes of the analysis and hypotheses in the article are used to explain the importance of different probabilistic inferences and…

Learning math The Core Plus Mathematics Project (CPMP) is an innovative approach to teaching Math-ematics that engages students in group investigations and mathematical modeling. After field tests in 36 highschools over a three-year period, researchers comparedthe performances of CPMP students with those taughtusing a traditional curriculum. In one test, students had tosolve applied Algebra problems using calculators. Scoresfor 320 CPMP students were compared to those of a control group of 273 students in a traditional Math pro-gram. Computer software was used to create a confidence interval for the difference in mean scores. (Journal forResearch in Mathematics Education, 31, no. 3[2000])Conf level: 95% Variable: Mu(CPMP) – Mu(Ctrl)Interval: (5.573, 11.427)a) What’s the margin of error for this confidenceinterval?b) If we had created a 98% CI, would the margin of errorbe larger or smaller?c) Explain what the calculated interval means in context.d) Does this result suggest that students…

Which research design would be suitable for this topic.  Topic: The impact of unemployment on mental illness in St.Lucia

:Independent Assessment 3 Directions: Identify the independent, dependent and possible extraneous variable in each: number. Write your answers on a separate sheet of paper. 1. Effects of computer simulation activity and hands-on activity on the product creativity of senior high students. IV: DV: EV 2. Improving reading comprehension with the use of strategic improvised materials IV: DV: EV: 3. Relations of leadership and managerial skills to subordinates' retention and job satisfaction IV: DV: EV: 4. Effects of different concentrations of vermitea to the growth and yield of petchay plant IV: DV: EV: 5. Improving students' academic performance through blended learning IV: DV EV: 17

Which research design would be suitable for this topic.  Topic: The impact of unemployment on depression in St.Lucia

Part I - ANOVA An experiment was conducted to determine if motivational techniques in management significantly affected employee stress levels compared to no intervention.  An employee survey was given to three groups: one group under a manager who started using a transformational motivation technique, one group under a manager who began using a transactional motivation technique, and then a control group with no new technique used.  Stress levels were self-reported by the employees on 10-point Likert scales (0 – no stress, 1- little stress, 9 – very high stress). The results are shown below. Use alpha = 0.05. Transformational Transactional Control 0 2 6 7 5 5 3 3 8 5 0 9 2 1 5   Explain why using ANOVA is appropriate for this data. What assumptions need to be addressed to use this type of test? What is your null hypothesis and alternative hypothesis?   After running the single factor analysis of variance (ANOVA) on the data,…

A two-factor study investigates the effects of self-esteem (low vs. high) and gender (males vs. females) on anxiety scores. The following data represents the means for each treatment condition.   Low self-esteem High self-esteem                         Male     5 11 Female 10 3 The data shows that there is a self-esteem by gender interaction. Explain the self-esteem by gender interaction (include individual means in your explanation)

"Bullying." according to noted expert Dan Olweus, "poisons the educational environment and affects the learning of every child." Bullying and victimization are evident as early as preschool, with the problem peaking in middle school. Suppose you are interested in the emotional well-being of not only the victims but also bystanders, bullies, and those who bully but who are also victims (bully-victims). You decide to measure depression in a group of victims and a group of bully-victims using a 26-item, 3-point depression scale. Assume scores on the depression scale are normally distributed and that the variances of the depression scores are the same among victims and bully-victims. The group of 25 victims scored an average of 25.3 with a sample standard deviation of 9 on the depression scale. The group of 23 bully-victims scored an average of 20.5 with a sample standard deviation of 8 on the same scale. You do not have any presupposed assumptions about whether victims or bully-victims…

not use ai please don't

I am using excel and need help filling out the chart and answering the questions below CONTEXT - You are a teacher and have administered a reading test to 3rd graders. You want to analyze the test scores in the experiment. There are 3 groups:             1-the control group (using current teaching method)           2-the CBT group (using a computer based training method)           3-the hybrid group (using a combination of the current and CBT methods)         Answer the questions below the data.                                 Control CBT Only Hybrid   General Stats Control CBT Only Hybrid     15 14 16   Average           11 12 14   Median           12 13 13   Mode           14 11 17   High           15 15 15   Low           14 16 16   Variance           12 11 11   Standard Deviation           10 10 17               12 9 14               9 14 15   Total number of students passing with 15 or higher     14 13 12   Total number of students failing…

Statistics and Data Analysis

Predicting student proficiency test scores accounting for poverty and income measures:  Data was collected on 608 school districts in Ohio (The Cincinnati Enquirer, Nov 30, 1997) using passage rates in 1996.  The variables used in this analysis include:                 % passed – percent of all 4rth, 6th, 9th and 12th graders who passed the state’s exam eg: 93.85 means 93.85%                 % on ADC – percent of all students in the district receiving Aid for Dependent Children eg: 0.11 means 0.11%                 % Free Lunch – percent of all students who qualify for reduced- priced lunches  Median Income – reported in dollars   1. Report the 95% confidence interval estimate of the linear effect of %free lunches on predicting passing rates and interpret this interval in the correct units of measurement.  Lower: -0.530119553 Upper: -0.468276262

Predicting student proficiency test scores accounting for poverty and income measures:  Data was collected on 608 school districts in Ohio (The Cincinnati Enquirer, Nov 30, 1997) using passage rates in 1996.  The variables used in this analysis include:                 % passed – percent of all 4rth, 6th, 9th and 12th graders who passed the state’s exam eg: 93.85 means 93.85%                 % on ADC – percent of all students in the district receiving Aid for Dependent Children eg: 0.11 means 0.11%                 % Free Lunch – percent of all students who qualify for reduced- priced lunches  Median Income – reported in dollars Now conduct a simple linear regression analysis for each of the variables predicting passing rate and fill in the table below. (posted in attachments). Question: Judging from the outputs summarized in above (analysis posted in attachments), the % free lunch variable provides the best linear regression equation available with this data to predict a county’s…

Can you explain what these results mean in a layman's terms.

22. Drug use 2013 The 2013 World Drug Report investi- gated the prevalence of drug use as a percentage of the population aged 15 to 64. Data from 32 European countries are shown in the following scatterplot and regression analysis. (Source: World Drug Report, 2013. www.unodc.org/unodc/en/data-and-analysis/ WDR-2013.html) 3.00 E 2.25 1.50 0.75 12 Cannabis (%) Response variable is Cocaine R-squared = 25.8% s - 0.7076 with 32 - 2 = 30 degrees of freedom Variable Coefficient SE(Coeff) -Ratio P-Value Intercept 0.296899 0.2627 1.13 0.2673 Canabis 0.123638 0.0382 3.23 0.0030 a) Explain in context what the regression says. b) State the hypothesis about the slope (both numeri- cally and in words) that describes how use of cannabis (marijuana) is associated with other drugs. c) Assuming that the assumptions for inference are satisfied, perform the hypothesis test and state your conclusion in context. d) Explain what R-squared means in context. e) Do these results indicate that marijuana use…

A researcher wishes to examine the physical health, including if they have been diagnosed with diabetes and high blood pressure, of family caregivers. The researcher also wants to examine the caregivers lived experiences. What kind of data should the researchers collect from their study participants?     Quantitative   Qualitative   Both quantitative and qualitative   Qualitative or quantitative

Effect measure modification occurs when the strength of an association varies according to the level of a third variable which is called an effect measure modifier.  Confounding is the distortion of the association between an outcome of interest and an exposure because an important third variable has not been accounted for; this third variable is called a confounder.    The association between heavy alcohol consumption and the risk of oral cancer was investigated in a case-control study with 475 cases and 400 controls.  The following results were seen:   Heavy Alcohol Consumption Cases Controls Yes 350 200 No 125 200 Gender was considered a potential confounder and/or effect measure modifier in this study. The data were stratified by gender in order to assess these issues.  Calculate and interpret the stratum-specific odds ratios among males and females using the following data:   Males Heavy Alcohol Consumption Cases Controls Yes 300 150…

Observational studies allow: population inference neither population nor causal inference both population and causal inference causal inference

Why is it important to determine whether two variables are related before causality is determined?