SPSS Assignment Help | SPSS Homework Help

Introduction to SPSS

SPSS is a common program that is used to perform statistical analysis when dealing with social sciences. It is software which is used by practitioners in different disciplines such as survey companies, governments market researchers, education researchers, health research, data miners, marketing organization. As noted from the pointers above, SPSS is an important part of our day-to-day life since it is applicable in almost all activities we undertake. Most importantly it is a key statistical tool that enables students both in bachelor’s degree to higher advanced levels such as masters and Ph.D. to complete their research projects. SPSS assignment solvers have highlighted all the features contained in SPSS software package below:

• Descriptive statistics: Cross Tabulation, Frequencies
• Bivariate Statistics, t-tests, means, ANOVA, Correlation
• Prediction for Numerical Outcomes: Linear Regression
• Prediction for Group Identification: Cluster Analysis, Factor Analysis
• Geo Spatial Analysis Simulation
• R Extension

The features highlighted above are very common as students will have to use one or another method to solve different parts of their SPSS college assignments. Contact us with your SPSS homework problems, and we will help you score high grades in your SPSS college coursework. Our professional team of SPSS homework tutors has experience in completing SPSS assignments for many years. This has made them proficient. All SPSS assignments solutions submitted to student are always perfectly done.

SPSS Assignment Online Assignment Help Services

It is common to find out that most students do not understand what the abbreviation SPPS stands for, well as pinpointed out by best SPPS assignment help, it means statistical package for social sciences (SPSS). SPSS Inc. was acquired by IBM in the year 2009, and this lead to the latest version of SPSS being called IBM SPSS statistics. Also, very important to note is that the first version of SPSS was released in the year 1967. It was also first developed by Norman H. Nie. Remember to upload your SPSS assignment problems to us for professional SPSS assignment experts.

What is SPSS? What Are the Popular Statistical Assignments Solved Using SPSS? SPSS is defined as powerful statistical software that offers a user-friendly interface with diverse features that allow for the analysis of data. Statistical procedures assist individuals to make quality decisions and ensure the accuracy of data. Visit statisticshomeworktutors.com if you need assistance to answer questions in regards to statistical analysis. Our SPSS Project Help will assist you to present your SPSS Assignment professionally.

Various Topics Covered by Our Experts in SPSS Assignment Help

Ask our SPSS Assignment Help to assist you to handle the diverse SPSS topics. Our SPSS Homework Help Online is proficient in the delivery of SPSS Assignment. Our SPSS Experts will assist you to answer the SPSS Homework involving the following topics:

• Descriptive Statistics
• Analysis Of Variance
• Hypothesis Testing
• Standard Deviation And Variance Correlation
• Regression Analysis
• Time Series Analysis
• Linear Modelling
• Measures Of Central Tendency
• Friedman Test
• Sampling

Learn The Applications of SPSS For Various Statistics Assignments

SPSS is a powerful tool that every data analyst embraces, but our SPSS Homework Help recognizes that SPSS can be used in various areas.

• Data Transformation : This technique allows individuals to convert the data format
• Regression Analysis : It helps individuals to understand the relationship that exists between dependent and interdependent variables
• ANOVA (Analysis of variance) : It is a statistical approach used to compare processes, events, or groups, and find out the difference that exists between them.
• MANOVA (Multivariate analysis of variance) : This technique is used to compare data of random variables if the value is unknown.

Master The Key Features of SPSS From A Trusted SPSS Assignment Help Provider

Our SPSS Experts State That SPSS Has Some Notable Features:

• It helps to design, report, plot and has presentation features
• It offers in-depth statistical capabilities for establishing exact outcome
• Allows detailed and good analysis
• Enables manipulation and analysis of data
• Presents access to data with diverse variable types
• It has a predictive model and allows for trend analysis

Contact our SPSS Experts if you want Help with SPSS Assignment. Our SPSS Homework Help Online has been trained on how to handle SPSS and will take you through this complex software.

ANOVA in SPSS – Simple Steps in Conceptualizing ANOVA

Analysis of Variance (ANOVA) in SPSS assists individuals to examine the differences that exist between the mean values of dependent and independent variables. Our SPSS Experts will assist you to use ANOVA in SPSS to test the means of multiple populations or samples. Request our SPSS Assignment Help to take you through simple steps in ANOVA.

Understanding Linear Regression in SPSS

Linear regression is useful for predicting the variable value based on another variable value. You will be required to predict the dependent variable and use the independent variable to predict the other variable. Ask our SPSS Experts to help you to use linear regression in SPSS. We recognize that SPSS is hard enough and having to use linear regression can be quite stressful. The good part is that our SPSS Project Help is available online and will assist you anytime that you may require assistance. Send us a message titled-Do My SPSS Assignment Help and our SPSS Assignment Help will help you out.

24/7 SPSS Homework Experts and Solvers

At Statistics Homework Tutors we encourage students to seek SPSS expert help since we have observed over the years that it is an area of study which has presented students with difficulties. By using our services, students can be tutored on how to perform SPSS analysis through channels such as Skype. Moreover, our experts SPSS solvers can complete SPSS analysis section for students. Students can also have enough time to read for other areas as our SPSS tutors complete the analysis for students. And students can be guaranteed to score high grades at an affordable cost.

Our SPSS Experts have prepared sample assignment solution to demonstrate the quality of our work. All the solutions have been prepared by following a simplistic approach and include step by step explanations. These solutions reflect the in-depth expertise and experience of our online SPSS assignment experts.

A researcher is interested in examining the differences in reading rate (T1Rate…T3Rate) as well as Accuracy (T1ACC…T3ACC) overtime.  Using a repeated measures analysis first run separate models for each of the 2 dependent variables (Rate, Accuracy) and answer the following questions for each model:

For the Rate and Accuracy:

The model with reading rate as the dependent variable is significant, F (1.94, 483.72) = 208.47, p < .001. The Greenhous-Geisser epsilon is used because the sphericity assumption is violated, Mauchly’s W = .97, p = .024.

The model with reading accuracy as the dependent variable is also significant, F (2,498) = 205.29, p <.001. For this model, sphericity is assumed, given that Mauchly’s W = .99, p = .15.

Eta squared for the model with reading rate as the dependent variable (h2) = .456

Eta squared for the model with reading accuracy as the dependent variable (h2) = .452

Yes, for the reading rate model, the results are F (1.94, 483.72) = 208.47, p < .001 and for the reading accuracy model, F (2,498) = 205.29, p <.001.

Eta squared for the model with reading rate as the dependent variable (h2) = .456

Eta squared for the model with reading accuracy as the dependent variable (h2) = .452

Yes. There are significant differences in reading rate between level 1 and 2 (mean difference = -3.70, p <.001), level 2 and 3 (mean difference = -3.64, p < .001) and level 1 and level 3 (mean difference = -7.34, p <.001). Similarly, there are significant differences in reading accuracy between level 1 and 2 (mean difference= -5.29, p <. 001), level 2 and 3 (mean difference = -2.97, p < .001) and level 1 and 3 (mean difference = -8.26, p <. 001).

For the model with reading rate as the dependent variable:

Level 1 and level 2: mean difference= -3.70, mean standard deviation (11.34+11.20)/2 =11.27

Cohen’s d = 3.7/11.27 = 0.33, small effect size

Level 1 and level 3 = mean difference =-7.34, mean standard deviation (11.34+10.55)/2 = 10.95

Cohen’s d = 7.34/10.95 =0.67, moderate effect size

Level 2 and level 3 = mean difference = -3.64, mean standard deviation (11.20 +10.55)/2 =10.88

Cohen’s d = 3.64/10.88 =0.33, small effect size

Next the researcher is interested in determining Group and Gender may affect the outcomes.  Using separate mixed models (one for rate and one for accuracy) with one within factor (Rate or Accuracy) and one between factor (one model for group, a separate model for gender).

For each model address the following in a table of results (you should run a total of 4 models:

Rate X Gender, 

Rate X Group, 

Accuracy X gender, 

Accuracy X group

1. Model significance
2. Model effect size
3. Factor significance
4. Factor effect size
5. Interaction significance
6. Interaction effect size

Model 1: Rate X Gender

Source	SS	df	MS	F	p	Eta Squared
Between-subject effects
Gender	997.987	1	997.987	3.023	.08	.012
Error (Gender)	81877.404	248	330.151
Within-subject effects
Rate	6723.043	1.943	3459.37	206.67	.000	.452
Rate * Gender	16.262	1.943	8.131	.502	.600	.002
Error (Accuracy)	8028.673	481.971	16.658

At least one of the effects is significant, implying that the model is significant.

Effect size for the entire model =>2 = sum of squares for all the effects/ (sum of squares for all the effects +sum of squares for errors)

= (997.987 +6723.043 +16.262)/ (997.987 +6723.043 +16.262+8028.673) = 0. 49

Model 1: Rate X Group

Source	SS	df	MS	F	p	Eta Squared
Between-subject effects
Group	469.097	1	469.097	1.412	.236	.006
Error (Gender)	82406.294	248	332.283
Within-subject effects
Rate	6637.384	1.939	3423.332	206.325	.000<	.454
Rate * Group	66.897	1.939	34.503	2.080	.127	.008
Error (Accuracy)	7978.038	480.839	16.592

At least one of the effects is significant, implying that the model is significant.

Effect size for the entire model =h2 = sum of squares for all the effects/ (sum of squares for all the effects +sum of squares for errors)

= (469.097 +6637.384 +66.897)/ (469.097 +6637.384 +66.897+7978.038) = 0. 47 

Model 3: Accuracy X Gender

Source	SS	df	MS	F	p	Eta Squared
Between-subject effects
Gender	184.621	1	184.621	.555	.002	.02
Error (Gender)	82570.14	248	332.944
Within-subject effects
Accuracy	8736.453	2	4368.226	206.604	.000	.452
Accuracy * Gender	23.493	2	11.746	11.746	.000	.002
Error (Accuracy)	10589.43	496	21.356

All the effects are significant; hence the model is significant as well.

Effect size for the entire model =h2 = sum of squares for all the effects/ (sum of squares for all the effects +sum of squares for errors)

= (184.621 +8736.453 +23.493)/ (184.621 +8736.453 +23.493+10589.43) = 0. 46

Model 4: Accuracy X Group

Source	SS	df	MS	F	p	Eta Squared
Between-subject effects
Group	1357.492	1	1357.492	4.136	.043	.02
Error (Gender)	81397.269	248	328.215
Within-subject effects
Accuracy	8706.365	2	4353.183	204.972	.000	.453
Accuracy * Gender	78.892	2	40.128	1.857	.157	.007
Error (Accuracy)	10534.031	496	21.238

The model is significant as both main effects are significant.

Effect size for the entire model =h2 = sum of squares for all the effects/ (sum of squares for all the effects +sum of squares for errors)

= (1357.492 +8706.365 +78.892)/ (1357.492 +8706.365 +78.892+10534.031) = 0. 49

Disclaimer: The samples provided by StatisticsHomeworkTutors.com are to be considered as model papers and are not to submitted as it is. These samples are intended to be used for research and reference purposes only.

FREQUENTLY ASKED QUESTIONS

How do you do assignments in SPSS?

Do I need SPSS for my dissertation?

What are the tools used in SPSS?