Category: F.A.Q

Steps of conducting Simple Linear Regression

Research question: Does Time since PhD predicts Number of Publications? Open SPSS: Select ANALYZE -> REGRESSION -> LINEAR. Move PUBS (dependent variable) into DEPENDENT and TIME (independent variable) into INDEPENDENT. Click on Statistics -> Select CONFIDENCE INTERVALS and DESCRIPTIVES. Click on Continue. Click on Save -> Select Mean and Individual below Prediction Intervals. Click on …

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Power Analysis

The website below generate R code that can compute: http://www.quantpsy.org/rmsea/rmsea.htm Monte Carlo Simulation Monte Carlo simulation studies are often used for methodological investigations of the performance of statistical estimators under various conditions. They can also be used to decide on the sample size needed for a study and to determine power (Muthén & Muthén, 2002). …

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Steps of conducting Logistic regression in SPSS

Running Simple Logistic Regression: Research question: What is the relationship between pretest score and one’s passing on post-test? From the menu, click on Analyze -> Regression -> Binary Logistic In the appearance window, move DV (pass) to Dependent… -> IV (Pre) to Covariates: Hit Options… -> Check CI for exp(B) -> At last step -> …

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Steps of conducting Discriminant analysis (DA)

• Discriminant analysis (DA) is to predict group membership (DV – Categorical variable) from a set of predictors (IV – Continuous variables). Thus, DA is MANOVA turned around. Research question: Do PERF, INFO, VERBEXP permit he classification of students by types of learning disabilities? DV: Types of learning disabilities (3 groups) Memory: Children whose major …

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Steps of conducting MANOVA in SPSS

Running one-way MANOVA: RQ: A researcher wants to compare differences in score on the reading subtest of the Wide Range Achievement Test (WRAT-R) and score on the arithmetic subtest (WRAT-A) between students with treatment and those without treatment. IV: Treatment vs. Not (2 levels) DVs: WRAT-R and WRAT-A From the menu, click on Analyze -> …

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Steps of conducting MANCOVA in SPSS

A researcher wants to compare differences in score on the reading subtest of the Wide Range Achievement Test (WRAT-R) and score on the arithmetic subtest (WRAT-A) between students with treatment and those without treatment.  Then, a researcher wants to see whether treatment effect differs by degree of disability (i.e., mild, moderate, and severe). IV1: Treatment …

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MANOVA and MANCOVA

Multivariate analysis of variance (MANOVA) and multivariate analysis of covariance (MANCOVA) are used to test the statistical significance of the effect of one or more independent variables on a set of two or more dependent variables, [after controlling for covariate(s) – MANCOVA]. MANOVA and MANCOVA is an extension of ANOVA and ANCOVA. The major difference …

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Running Preliminary Analysis for Multivariate Statistics using SPSS

We have to run a data screening by checking the following: The accuracy of the data by examining descriptive statistics. The underlying assumptions are met or not. The outliers – cases that are extreme – that can distort results from MVS analysis. The multicollinearity and singularity – perfect or near perfect correlations among variables – …

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Steps of conducting Confirmatory Factor Analysis (CFA) in R

The CFA requires the model/structure to be specified. Suppose this is the structure we want to test is as: Subscale1 (extraversion) Subscale2 (neuroticism) Subscale3 (agreeableness) Subscale4 (conscientiousness) Subscale5 (openness to experience) We will conduct confirmatory factor analysis using lavaan package. First install and load the package: install.packages(“lavaan”) library(lavaan) ##  lavaan is BETA software! Please report …

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Steps of running PCA and EFA in SPSS

From the menu, click on Analyze -> Dimension Reduction -> Factor… In the appearance window, move all variables to Variables… ->Continue Hit Descriptives… -> Check KMO and Barlett’s test of sphericity -> Continue Hit Extraction… -> check Scree plot -> choose Method: Principal components (if you are running PCA) or Method: Principal Axis Factoring (if …

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