Quantitative data analysis and report using the best appropriate  quantitative research methods, approaches, techniques, and tools:

Exploratory Data Analysis (EDA)

Data cleaning

Data coding

Codebook

Data labelling

Missing data treatment

Basic statistics

Frequency distribution

Pie/bar chart, histogram, scatter plot creation

Descriptive statistics

Measures of central tendencies

Measures of dispersion

Mean and standard deviation

Median and interquartile range

Frequencies and percentages (n,%)

Demographic analysis

Assumption checks

Choosing the appropriate statistical test

Likert scale data

Nominal, Ordinal, Interval and Ratio Measurement Levels

Normality testing

Pilot-testing

Reliability testing

Test-retest reliability

Inter-ratter reliability

Convergent validity

Discriminant validity

Outlier detection and removal

Whisker and box plots

Levene’s test of homogeneity of variance

Histograms

Q-Q plots

Shapiro-Wilk test

Kolmogorov-Smirnov test

Anderson-Darling test

Lilliefors test

Bartlett’s Test

Scatterplots

Histograms

Residuals

Variance Inflation Factor (VIF)

RMSEA

GFI

AGFI

Chi-Square

The goodness of fit measures

Model fit

Average Variance Extracted (AVE)

Heterotrait-Monotrait Ratio of Correlations (HTMT)

Inferential statistics

(Parametric and non-parametric or sensitivity tests)

Hypothesis formulation

Directional hypothesis

Non-directional hypothesis

Null hypothesis (H0)

Alternative hypothesis (H1)

Hypothesis testing

Univariate data analysis

Bivariate data analysis

Multivariate data analysis

One sample t-test

Two-samples t-test

Independent samples t-test

Paired samples t-test

Analysis of variance/ANOVA

One way ANOVA

Two-way ANOVA

Repeated Measures ANOVA

Factorial ANOVA

Chi-square tests

Cluster analysis

Factor analysis (FA)

Principal Components Analysis (PCA)

Exploratory factor analysis (EFA)

Confirmatory factor analysis (CFA)

Latent Class Analysis (LCA)

Parallel Analysis (PA)

Structural equation modeling (SEM)

Correlation analysis

Regression analysis

Simple Linear Regression Analysis

Multiple Linear Regression Analysis

Logistic Regression Analysis

Binary Logistic Regression 

Time Series Analysis

Report and interpretation in APA style

Tools:

IBM SPSS

IBM AMOS

SmartPLS

STATA

Minitab

Jamovi

JASP

R

EViews

Tableau

MS Excel

Online Likert Scale Surveys and Questionnaires

Qualtrics

Google Forms

Microsoft Forms

JotForm

JetForms

MS Word

MS PPT

PDF