Does the estimated equation support the theory on which it is based or the rationale in your mind? What explains any discrepancy between theory and empirics?

An empirical project – Impact of venture capital on financial market development”

Describe the source(s) of the data and how each variable is measured.

Discuss the estimation strategy you adopt, the potential econometric issues that may be relevant and how you plan to deal with them. Also discuss any estimator, tests and approaches you intend to apply to support your arguments in your analysis.

Properly present the econometric estimates and evaluate the model performance in terms of goodness of fit and diagnostic tests.

Interpret the estimated coefficients, and describe whether they correspond to your expectations in light of the literature/theories

Discuss the results of other specification tests, hypothesis tests, robustness analysis (if you have conducted any) and report your findings.

Does the estimated equation support the theory on which it is based or the rationale in your mind? What explains any discrepancy between theory and empirics?

How do the results compare with existing findings? What new insights your results have added?

 Are education degree and political views related?Is the relationship stronger for women or men? Why might this be?

Chi-Square SPSS activity

Are education degree and political views related?

From the ANALYZE menu

Choose DESCRIPTIVES

Choose CROSSTABS

Click on STATISTICS button

You will see a Dialogue box

Click on the CHI-SQUARE box in the upper left corner, click “expected frequencies”

Click CONTINUE

We want to look at “DEGREE” (columns box) and “POLVIEWS” (row box)

Look to the “Pearson Chi-square” information in the first row.

Chi-square=___________________ with ________ degrees of freedom and a p-value of_____________________. We have/do not have evidence to reject the null hypothesis that these variables are independent.

It appears that… (describe the association seen here if there was one)________________________________________________________________________________________________________________________________________________________________________________.

2. For your Lab Submission:

Examine the relationship between respondent’s health (HEALTH) and social class (CLASS). Treat social class as the independent (column) variable and health as the dependent (row) variable. Interpret results by reporting similarly to the above example. Be sure to report your results of the Chi-square value, degrees of freedom, p-value, and then your decision to reject the Null Hypothesis or not. Describe these findings in your own words.

Add SEX as a control variable (Under LAYER box which is under the Row and Column boxes) and calculate. Is the relationship stronger for women or men? Why might this be?

What statistic would you use if you had three normally distributed (scale) independent variables (weight of participants, age of participants, and height of participants), plus one dichotomous independent variable (academic track) and one dependent variable (positive self-image), which is normally distributed?

Selecting and Interpreting Inferential Statistics
Respond to the following short answer questions from Chapter 5 of the Morgan, Leech, Gloeckner, & Barrett textbook:

Compare and contrast a between-groups design and a within-subjects design.

What information about variables, levels, and design should you keep in mind in order to choose an appropriate statistic?

Provide an example of a study, including the variables, level of measurement, and hypotheses, for which a researcher could appropriately choose two different statistics to examine the relations between the same variables. Explain your answer.

What statistic would you use if you wanted to see if there was a difference between three ethnic groups on math achievement? Why?

What statistic would you use if you had one independent variable, geographic location (North, South, East, West), and one dependent variable (satisfaction with living environment, Yes or No)?

What statistic would you use if you had three normally distributed (scale) independent variables (weight of participants, age of participants, and height of participants), plus one dichotomous independent variable (academic track) and one dependent variable (positive self-image), which is normally distributed?

Explain your answer.

Describe the results. Which variables in the dataset are approximately normally distributed/scale? Which ones are ordered but not normal?

QUANTITATIVE ANALYSIS: DESCRIPTIVE STATISTICS, ORDINAL SCALE AND DICHOTOMOUS VARIABLE ASSIGNMENT

SPSS Problems

Chapter 4

Using the CollegeStudentData.sav file (see Appendix A), do the following problems. Print your outputs and circle the key parts of the output that you discuss.

For the variables with five or more ordered levels, compute the skewness. Describe the results. Which variables in the dataset are approximately normally distributed/scale? Which ones are ordered but not normal?

Do a stem-and-leaf plot for the same-sex parent’s height split by sex at birth. Discuss the plots.

Which variables are nominal? Run Frequencies for the nominal variables and other variables with fewer than five levels. Comment on the results.

Do boxplots for student height and for hours of study. Compare the two plots. Make Sure

What is the mean visualization test score?What is the skewness statistic for math achievement test? What does this tell us?What is the minimum score for mosaic pattern test? How can that be?

Descriptive Statistics, Ordinal Scale and Dichotomous Variable

What is the mean visualization test score?

What is the skewness statistic for math achievement test?

What does this tell us? What is the minimum score for mosaic pattern test? How can that be?

Using Output 4.1b: (a) For which variables that we called scale, is the skewness statistic more than 1.00 or less than –1.00? (b) Why is the answer important? (c) Does this agree with the boxplot for Output 4.2? Explain.

Using Output 4.2b: (a) How many participants have missing data? (b) What percent of students have a valid (non-missing) motivation scale or competence scale score? (c) Can you tell from Outputs 4.1 and 4.2b how many are missing both motivation scale and competence scale scores? Explain.

Using Output 4.4: (a) Can you interpret the means? Explain. (b) How many participants are there altogether? (c) How many have complete data (nothing missing)? (d) What percent are in the fast track? (e) What percent took algebra 1 in h.s.?

Using Output 4.5: (a) 9.6% of what group are Asian-Americans? (b) What percent of students have visualization 2 scores of 6? (c) What percent had such scores of 6 or less?

 

Can the age of blood used in the transfusion be used to predict the duration of a patient’s stay? Does this relationship vary between patient blood types?

Analytical Support for Decision Making

In this section, task 2.1 was chosen for analysis in which the question answered is:

Can the age of blood used in the transfusion be used to predict the duration of a patient’s stay? Does this relationship vary between patient blood types? To complete the task, a linear regression analysis was employed.

Discuss the relevance, validity and reliability of statistical methods in the context of experimental design

Statistic report from a data

Critique original research data sets relevant to their field of study selecting appropriate statistical methods

Discuss the relevance, validity and reliability of statistical methods in the context of experimental design

Evaluate and interpret scientific information and data, both qualitative and quantitative, relevant to applications of their subject area

Are the following predictor variables positively or negatively associated with statistics anxiety: intrinsic motivation, extrinsic motivation, perceived autonomy, and perceived competence?”

4,500 word empirical research project

Research Question: “Are the following predictor variables positively or negatively associated with statistics anxiety: intrinsic motivation, extrinsic motivation, perceived autonomy, and perceived competence?”

The 4 predictor variables are intrinsic motivation, extrinsic motivation, perceived autonomy, and perceived competence. And the main criterion is statistics anxiety.

For each of the variables a hypothesis should be made and how it associates negatively/positively with statistics anxiety? This can be formulated through data collected in the excel sheet attached. However, this has to be transferred into SPSS and data should be analysed and presented here and how it relates to the hypothesis.

These 2 articles should help and based my literature review on references/sources that would be available from them.

Discuss what type of sampling you will be carrying out (probability or non-probability) as well as the specific sampling design you will utilize.Explain the rationale (why you are using this approach) and limitations (the disadvantages of this approach) associated with your choice.

Statistical Sociology – Research Paper Proposal

Discuss what type of sampling you will be carrying out (probability or non-probability) as well as the specific sampling design you will utilize.

Explain the rationale (why you are using this approach) and limitations (the disadvantages of this approach) associated with your choice.

Describe how generalizable your study’s findings will be, and how important the issue of generalizability is, given your research question and the sampling plan you propose.