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Survey Total

Research Disciplines → Engineering → Survey Total

⚙ Engineering · Survey Total

Survey Total

Survey · Toplam

Survey Total is one of the statistical analyses applied automatically in MerQur. This page illustrates — on a Engineering sample dataset — how the analysis is run, what the MerQur output looks like, and how the result is reported in APA 7 format.

🎯 What is it for?

Survey Total automatically performs all required assumption checks (normality, homogeneity of variance, etc.) for the relevant data type in the background and presents the results with a clear table + chart. Automatic interpretation to the APA 7 standard, effect sizes such as Cohen’s d/η²/R², and 95% confidence intervals are reported.

📌 When is it used?

  • Statistical analysis of measurements in the Engineering domain
  • To produce APA 7-compatible result tables for academic publications
  • Hypothesis testing and decision-making processes
  • Undergraduate / master’s / PhD theses after the appropriate method has been selected

📐 Assumptions

  • Appropriate scale — Variables must be at the measurement level required by the analysis (nominal/ordinal/interval/ratio)
  • Independent observations — Observations must come from individuals independent of one another
  • Sufficient sample size — The minimum n requirement for the analysis must be met
  • Outlier check — Outliers must be detected and evaluated

If assumptions are violated, MerQur automatically suggests a non-parametric or robust alternative.

🛠 How to do it in MerQur

1

Load the data. Select the sample file from File → Open. MerQur auto-detects column types.

2

Select the analysis. From the left side select Survey Total.

3

Panel assignments (form fields in the program):

  • weight_col: agirlik
  • variables: ['uretim_ton']
  • stratum_col: tabaka
  • cluster_col: None
  • fpc_col: None
  • by_col: None
4

Optional settings. Effect size ✓ · 95% confidence interval ✓ · Assumption checks (automatic).

5

▶ Run — click the button. Results are produced automatically as a table + chart.

6

📄 Export to Word. APA 7-formatted report with italic statistical symbols.

📊 Sample Dataset — Engineering

ℹ Note: The scenario, MerQur output and interpretation below were produced by actually running the real example dataset in MerQur. Numeric results on your own data will differ; the goal is to show how the analysis is set up and interpreted end-to-end.

🎬 Example File

This analysis is demonstrated on the following example dataset for Engineering:

Muhendislik/80_survey_total.xlsx

🎬 Scenario

We estimate the population total (total production) from the sample. For a complex sample, design-based total is appropriate.

⚙️ Variable Selection

  • Variables: production_ton
  • Weight: weight
  • Stratum: stratum

Data Preview (First 5 Rows)

enterprise_idstratumproduction_tonweight
1M2236
2S6512
3S4112
4L9402
5S4512

n = 280 · Columns: enterprise_id, stratum, production_ton, weight

📈 MerQur Output

SURVEY TOTAL RESULT ───────────────────────────────────────────── production_ton: T_hat = 265,922 SE = 3,738.63 95% CI [258,562, 273,282] stratum: stratum

💬 Interpretation

We estimated the population TOTAL (total production, tons) from the sample: T = 265,922, 95% CI [258,562, 273,282]. Weights tell how many population units each observation represents; the total is estimated by summing those weights, with uncertainty reported via Taylor SE. In the field it is the right method for producing population-scaled totals (total production, total area) from a sample.

⚠ Common Mistakes

  • Misidentifying the data type (e.g., loading a categorical variable as numeric)
  • Skipping assumption checks and going straight to the p-value
  • Failing to report effect size — APA 7 requires both p and effect size
  • Failing to apply a Type I error correction (Bonferroni/Tukey) in multiple comparisons
  • Not switching to a non-parametric alternative when n is insufficient

📹 Video Walkthrough

Watch the video below for an end-to-end walkthrough of this analysis on a Engineering file.

▶ Survey Total — video walkthrough

This section is part of the Karmaşık Anket Tasarımı video (5 analyses in one video). The link below jumps straight to 3:10, where this analysis begins. Narration is in Turkish.

▶ Watch this analysis (3:10) 📺 All videos

🔀 The same analysis in other disciplines:
🎓 Education Sciences · 🧪 Natural Sciences & Mathematics · 🏛 Architecture, Planning & Design · 🏥 Health Sciences · 📊 Social, Humanities & Admin Sciences · 🏃 Sport Sciences · 🌾 Agriculture, Forestry & Aquatic

📚 If You Used This Analysis, Cite MerQur

If you performed this analysis using MerQur in a scientific study, please use the citation below as part of your academic citation obligations (APA 7):

Örücü, Ö. K. (2026). MerQur: Integrated Academic Data Analysis & Reporting Platform [Computer software] (Version 1.0.0). https://doi.org/10.53463/merqur.2026001

For BibTeX, RIS, EndNote and the English citation form: all citation formats →

Sources:
  1. American Psychological Association. (2020). Publication manual of the American Psychological Association (7th ed.).
  2. Field, A. (2018). Discovering statistics using IBM SPSS Statistics (5th ed.). Sage.
  3. Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum.