Data Analysis and Application (DAA) Template Use this file for all assignments that require the DAA...

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Data Analysis and Application (DAA) Template	Use this file for all assignments that require the DAA Template. Although the statistical tests will change from assessment to assessment, the basic organization and structure of the DAA remains the same.											Update the title of the template. All should be written in narrative form (delete numbered lists).											Data Analysis Plan			Name the variables and the scales of measurement.		State your research question, null and alternate hypothesis.						Testing Assumptions			Paste the SPSS output for the given assumption.		Summarize whether or not the assumption is met.						Results and Interpretation			Paste the SPSS output for main inferential statistic(s) as discussed in the instructions.					Interpret statistical results as discussed in the instructions.			Statistical Conclusions			Provide a brief summary of your analysis and the conclusions drawn.		Analyze the limitations of the statistical test.					Provide any possible alternate explanations for the findings and potential areas for future exploration.						Application			Think of your own field of study. Describe how this type of analysis might be used in your field.					Analyze what the value and potential implication of such an analysis would be.			ReferencesProvide references in proper APA Style.JASP Step-by-Step: Correlations                  di IJASP  •  •  ILi lll. ~ l!!C  Descriptives T-Tests ANOVA Mixed Models Regression Frequencies  "' Descriptive Statistics 0 0 0 0  ' id I~  Variables  A, tastname  A fi rstname  I genderidentity  1d ethnicity  I year  A lowup  111 section  ' gpa  A extcr  A review  I quiz.1  ,d qu;z2  I quiz3  ,d quiz.4  I quiz5 Split  , fin al ►  Transpose descriptives table  ► ► statistics  ► Basic plots  ► Customizable plots  ► Tables  •  ______________________________________________________________________________  Correlations  DAA Section 2: Testing Assumptions  Open grades.jasp.  Section 2 asks for a test of the normality assumption. Select the  Descriptives option from the menu bar and a new window appears.  Select quiz1. Select the arrow to move quiz1 to the Variables box.  SCREENSHOTS TAKEN FROM JASP version 16.    T Descriptive Statistics 0 0 0 0  A id !~ I Variables I  & lastname ►  & firstname  A genderidentity  A ethnicity  1d year  A lowup  A section  ' gpa A extcr A  quiz3  quiz4  quiz5 .Split  , final ► ••  •  T Descriptive Statistics 0 0 0 0  I Variables I A id !~  & lastname ► quiz 1  & firstname  A genderidentity  A ethnicity  1d year  A lowup  A  review  quiz2  quiz3  quiz4  quiz5  , final Split  , total ► II  Select gpa. Select the arrow to move gpa to the Variables box.    e  ... Descriptive Statistics 0 0 0 0  A id J¢: Variables  I;., lastname ► quiz1  I;., firstname ' gpa  A gen deri dentity  A ethnicity  I year  A lowup  A section  A extcr  A review  , quiz2  , quiz3  ' quiz4  ' quiz5  , final  Split  ►  e  ... Descriptive Statistics G O O 0  A id 1¢: j variables j  &, lastname ► quiz1  &, firstname ' gpa  A gen deridentity , Iota.I  A ethnicity  I year  A lowup  A section  A extcr  Split  ►  Select total. Select the arrow to move total to the Variables box.  Select final. Select the arrow to move final to the Variables box.     ... Descriptive Statistics  ,. id ._, lastnarn e ._, firstrn arn e ,. genderi dentity ,. ethnicity  I year ,. lowup ,. section ,. extcr ,. review  ' quiz2 ' quiz3 ' quiz4 ' quiz5 percent ._, grade ,. passfail  Transpose descriptives table  ► Statistics  e  T Stati stics  Sample size  Vali d  Missing  Central ten den cy  Mode  Median  Mean  Dispersion  S.E. mean  I~  Coefficient of vari ation  MAD ro bust  Variance  Minimum  ►  ►  Quantiles  Quartiles  Variables  ' quiz1  ' gpa  ' total  , final  Split  Cut points for: 4  Distrib  PJ Skewness  Kurtosis  Sid. deviation  MAD  !QR  Range  Maximum  0 0 0 0  11  equal groups  Select the Statistics button. New options appear.  Select Skewness and Kurtosis. (Deselect other options).                          8  •  Descriptiive Statistiics  Skewness  s· d. Error o Skew11ess  Kurtosis  S d. Error of Kmtosils .  Q;lliz1  grad es ((!:\ U sers\ swowr\ On eDrive\ Desktop)  - Dese:niptives T-i'ests AJNOVA  •  gpa to I  'I' ..,.  Mixed Models  final  Logisti c Reg ression  Generalized Linear Model  __________________________________________________________  Copy/paste the Descriptive Statistics table into DAA Section 2.  Below the output, discuss the skewness and kurtosis values and how you  determined whether the assumption of normality was met or violated.  DAA Section 3: Intercorrelation Matrix  Section 3 asks for the intercorrelation matrix. Select Regression  from the toolbar. Select Classical Correlation; a new window appears.  Select quiz1. Select the arrow to move quiz1 to the Variables box. T Correlation  gpa  extcr  quiz3  Quiz4  quiz5  , final  Sample Correlation Coefficient  fJ Pearson's r  Spearman's rho  Kendall's tau-b  e  T Correlation  llfi) 1111::>UIC:Hllt:!  A genderidentity  A ethnicity  id year  A IOWJP  A  review  quiz2  Sample Correlation Coefficient  fJ Pearson's r  Spearman's rho  Kendall's tau-b  !~  Variables  ►  Partial out  ►  Additional Options  Display paiiwise  fJ Report significance  Flag significant correlations  Confidence inteivals  Variables  ► , Quiz1  Partial out  ►  Additional Options  Display paiiwise  fJ Report significance  Flag significant corre ations  Confidence inteivals  0 0 0 0  0 0 0 0  , ..  Select gpa. Select the arrow to move gpa to the Variables box.  Select total. Select the arrow to move total to the Variables box.    "' Correlation  - IUWUIJ  A section  A extcr  A review  , Quiz2  , Quiz3  ' '  Sample Correlation Coefficient  II Pearson's r  •  Spearman's rho  Kendall's tau-b  "' Correlation  -IUWUIJ A section  A extcr  A review  ' Quiz2 ' Quiz3 ' '  Sample Correlation Coefficient  II Pearson's r  Spearman's rho  Kendall's tau-b  •  1~  ►  ►  Variables  , Quiz1  ' gpa  Partial out  Additional Options  Display paiiwise  II Report significance  Flag significant correlations  Confidence intervals  Variables  ► , Quiz1  ' gpa  , total  Partial out  ►  Additional Options  Display paiiwise  II Report significance  Flag significant correlations  Confidence intervals  0 0 0 0  0 0 0 0  ••  Select final. Select the arrow to move final to the Variables box.  Select Flag significant correlations.                         •  T Correlation  1U yecu ,. lowup ,. section ,. extcr ,. review  ' quiz2 ' quiz3 ' quiz4 ' quiz5 , percent  Sample Correlation Coefficient  S Pearson's r  Spearman's rho  Kendall's tau-b  Correlation  Pearson's Correlations  Variable  1. quiz 1 Pearson's r  p-value  2. gpa Pearson's r  p-value  3. total Pearson's r  p-value  4. final Pearson's r  p-value  !~  * p

Pratibha · Accepted Answer

Statistical Analysis
Name of the student
Student ID
Variable Names and Scales of Measurement
Variable names and scales of measurement for the provided dataset:
	Variable
	Description
	Data type
	Id
	Unique identifier
	Nominal
	Lastname
	Last name of student
	Nominal
	Fisrtname
	First name of student
	Nominal
	Genderidentity
	Gender Identity (1 = Male, 2 = Female)
	Nominal
	Ethnicity
	Ethnicity (1 = Asian, 2 = Black, 3 = Hispanic, 4 = White)
	Ordinal
	Year
	Student Year
	Ordinal
	lowup
	Lowup
	Ordinal
	section
	Section
	Ordinal
	Gpa
	GPA
	Continuous
	extcr
	External credits
	ordinal
	review
	Review session attended or not
	Ordinal
	Quiz1,quiz2,quiz3,
quiz4,quiz5
	Quiz Scores
	continuous
	Final
	Final exam score
	continuous
	total
	Total score
	continuous
	percent
	Percentage score
	continuous
	grade
	Grade (A,B, C,D)
	Nominal
	passfail
	Pass/Fail (1=Pass, 0=Fail)
	Nominal
Research Question and Hypotheses
Research Question: "What factors are associated with student performance and whether they pass or fail?"
· Null Hypothesis ($H_0$): "There is no significant relationship between the independent variables (e.g., gender, ethnicity, GPA) and student performance (pass/fail)."
· Alternate Hypothesis ($H_A$): "There is a significant relationship between the independent variables and student performance."
For testing the relationship between independent variables (e.g., gender, ethnicity, GPA) and student performance (pass/fail), we can use a chi-squared test of independence. This test is appropriate when you have categorical independent variables and a categorical dependent variable like "pass/fail." Specifically, we can perform a chi-squared test for independence or a chi-squared test for association.
Testing Assumptions:
The chi-square test of independence has some assumptions that need to be considered when applying it to a dataset. These assumptions are related to the nature of the data and the appropriateness of the test. Here are the key assumptions for the chi-square test of independence:
1. Independence of Observations: The observations in the contingency table (cross-tabulation) should be independent of each other. In other words, the data points should not be influenced by or dependent on each other. Violations of this assumption can lead to inaccurate results.
2. Random Sampling: The data should come from a random sample or a well-defined sampling process. This ensures that the sample is representative of the population from which it was drawn.
3. Expected Cell Frequencies: The expected cell frequencies (the values that would be expected under the null hypothesis of independence) should be greater than or equal to 5 for most cells in the contingency table. This assumption is known as the "5 or more" rule.
4. If the expected cell frequencies are very small (less than 5),

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Data Analysis and Application (DAA) TemplateUse this file for all assignments that require the DAA Template. Although the statistical tests will change from assessment to assessment, the basic...

Answer To: Data Analysis and Application (DAA) TemplateUse this file for all assignments that require the DAA...

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