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Serie: Quantitative applications in the social sciences
paperbackEngels152 blz.9781071872338
2-4-2025
paperbackEngels192 blz.9781071950340
1e druk
1-5-2026
Using spline variables to model nonlinearity allows researchers to specify unrestricted models for models that involve interval variables, allowing for greater flexibility in modeling any possible interaction. Meer
paperbackEngels224 blz.9781071855379
1e druk
5-6-2023
Items with ordered response categories are common in survey research, such as when respondents are asked how much they agree with certain statements. Meer
paperbackEngels256 blz.9781071833209
2e druk
3-8-2021
paperbackEngels224 blz.9781071919569
1e druk
12-9-2025
This book focuses on the process of preparing raw data for analysis—commonly known as data cleaning. Meer
paperbackEngels136 blz.9781544334530
1e druk
3-8-2021
paperbackEngels144 blz.9781544323053
3-8-2021
paperbackEngels128 blz.9781544328836
25-2-2023
Demonstrating the use of spatial analysis in the social sciences within a regression framework, the second edition of this text employs examples based on real data to illustrate the concepts discussed. Meer
paperbackEngels216 blz.9781544334639
1e druk
31-10-2022
Bayesian statistical analyses have become increasingly common over the last two decades. Meer
paperbackEngels272 blz.9781544336572
25-2-2023
Taking the reader step-by-step through the intricacies, theory and practice of regression analysis, Damodar N. Gujarati uses a clear style that doesn't overwhelm the reader with abstract mathematics. Meer